This report highlights key findings from the most recent (2001–2010) data collected by the Forest Inventory and Analysis program across all forest land in California, updating previously published findings from data collected from 2001 through 2005 (Christensen et al. 2008).

Chefs have recreated war-time favourites to try on the 75-year anniversary of VE Day

THE EAGLES have announced that their “Hotel California” concerts in several cities including DALLAS, DENVER, LOS ANGELES, PHOENIX, SAN FRANCISCO and ST. PAUL, MN have been … more

RYAN SHUCK, the vocalist for industrial rockers JULIEN-K, as well as nu-metal band ADEMA, has voluntarily entered a rehabilitation facility for depression and alcohol abuse, according to an … more

BRIAN ANTHONY HOWE, former lead singer of the legendary rock band BAD COMPANY has passed away, according to TMZ.  HOWE, who replaced PAUL RODGERS as the vocalist for BAD COMPANY, died … more

What does a localization specialist do? What is the concept of localization? If these questions are on your mind, then this article is for you. More

CSS has a habit of creeping up on you. If you’re not careful, your humble stylesheet can go from a few flourishes to a giant maintenance tangle. Before you can say “12-deep nested div”, your in a world of duplication and complexity that prevents you from making timely user-interface updates. [Medium’s](https://medium.com) one organisation that’s been Read the rest...

Center for Biological Diversity Press Release WASHINGTON – Four commonly used neonicotinoid pesticides can harm bees and other pollinators, according to a new analysis by California’s Department of Pesticide Regulation. The study found that current approved uses of the “neonics” … Continue reading →

Recent advances in deep learning have facilitated the design of speaker verification systems that directly input raw waveforms. For example, RawNet extracts speaker embeddings from raw waveforms, which simplifies the process pipeline and demonstrates competitive performance. In this study, we improve RawNet by scaling feature maps using various methods. The proposed mechanism utilizes a scale vector that adopts a sigmoid non-linear function. It refers to a vector with dimensionality equal to the number of filters in a given feature map. Using a scale vector, we propose to scale the feature map multiplicatively, additively, or both. In addition, we investigate replacing the first convolution layer with the sinc-convolution layer of SincNet. Experiments performed on the VoxCeleb1 evaluation dataset demonstrate the effectiveness of the proposed methods, and the best performing system reduces the equal error rate by half compared to the original RawNet. Expanded evaluation results obtained using the VoxCeleb1-E and VoxCeleb-H protocols marginally outperform existing state-of-the-art systems.

Due to the exponential growth of biomedical literature, event and relation extraction are important tasks in biomedical text mining. Most work only focus on relation extraction, and detect a single entity pair mention on a short span of text, which is not ideal due to long sentences that appear in biomedical contexts. We propose an approach to both relation and event extraction, for simultaneously predicting relationships between all mention pairs in a text. We also perform an empirical study to discuss different network setups for this purpose. The best performing model includes a set of multi-head attentions and convolutions, an adaptation of the transformer architecture, which offers self-attention the ability to strengthen dependencies among related elements, and models the interaction between features extracted by multiple attention heads. Experiment results demonstrate that our approach outperforms the state of the art on a set of benchmark biomedical corpora including BioNLP 2009, 2011, 2013 and BioCreative 2017 shared tasks.

For future Internet of Things (IoT)-based Big Data applications (e.g., smart cities/transportation), wireless data collection from ubiquitous massive smart sensors with limited spectrum bandwidth is very challenging. On the other hand, to interpret the meaning behind the collected data, it is also challenging for edge fusion centers running computing tasks over large data sets with limited computation capacity. To tackle these challenges, by exploiting the superposition property of a multiple-access channel and the functional decomposition properties, the recently proposed technique, over-the-air computation (AirComp), enables an effective joint data collection and computation from concurrent sensor transmissions. In this paper, we focus on a single-antenna AirComp system consisting of $K$ sensors and one receiver (i.e., the fusion center). We consider an optimization problem to minimize the computation mean-squared error (MSE) of the $K$ sensors' signals at the receiver by optimizing the transmitting-receiving (Tx-Rx) policy, under the peak power constraint of each sensor. Although the problem is not convex, we derive the computation-optimal policy in closed form. Also, we comprehensively investigate the ergodic performance of AirComp systems in terms of the average computation MSE and the average power consumption under Rayleigh fading channels with different Tx-Rx policies. For the computation-optimal policy, we prove that its average computation MSE has a decay rate of $O(1/sqrt{K})$, and our numerical results illustrate that the policy also has a vanishing average power consumption with the increasing $K$, which jointly show the computation effectiveness and the energy efficiency of the policy with a large number of sensors.

Deep learning-based models, such as convolutional neural networks, have advanced various segments of computer vision. However, this technology is rarely applied to seismic shot gather noise localization problem. This letter presents an investigation on the effectiveness of a multi-scale feature-fusion-based network for seismic shot-gather noise localization. Herein, we describe the following: (1) the construction of a real-world dataset of seismic noise localization based on 6,500 seismograms; (2) a multi-scale feature-fusion-based detector that uses the MobileNet combined with the Feature Pyramid Net as the backbone; and (3) the Single Shot multi-box detector for box classification/regression. Additionally, we propose the use of the Focal Loss function that improves the detector's prediction accuracy. The proposed detector achieves an AP@0.5 of 78.67\% in our empirical evaluation.

Visual localization is a useful alternative to standard localization techniques. It works by utilizing cameras. In a typical scenario, features are extracted from captured images and compared with geo-referenced databases. Location information is then inferred from the matching results. Conventional schemes mainly use low-level visual features. These approaches offer good accuracy but suffer from scalability issues. In order to assist localization in large urban areas, this work explores a different path by utilizing high-level semantic information. It is found that object information in a street view can facilitate localization. A novel descriptor scheme called "semantic signature" is proposed to summarize this information. A semantic signature consists of type and angle information of visible objects at a spatial location. Several metrics and protocols are proposed for signature comparison and retrieval. They illustrate different trade-offs between accuracy and complexity. Extensive simulation results confirm the potential of the proposed scheme in large-scale applications. This paper is an extended version of a conference paper in CBMI'18. A more efficient retrieval protocol is presented with additional experiment results.

This paper proposes a fully automated atlas-based pancreas segmentation method from CT volumes utilizing atlas localization by regression forest and atlas generation using blood vessel information. Previous probabilistic atlas-based pancreas segmentation methods cannot deal with spatial variations that are commonly found in the pancreas well. Also, shape variations are not represented by an averaged atlas. We propose a fully automated pancreas segmentation method that deals with two types of variations mentioned above. The position and size of the pancreas is estimated using a regression forest technique. After localization, a patient-specific probabilistic atlas is generated based on a new image similarity that reflects the blood vessel position and direction information around the pancreas. We segment it using the EM algorithm with the atlas as prior followed by the graph-cut. In evaluation results using 147 CT volumes, the Jaccard index and the Dice overlap of the proposed method were 62.1% and 75.1%, respectively. Although we automated all of the segmentation processes, segmentation results were superior to the other state-of-the-art methods in the Dice overlap.

The increasing ubiquity of low-cost wireless sensors in smart homes and buildings has enabled users to easily deploy systems to remotely monitor and control their environments. However, this raises privacy concerns for third-party occupants, such as a hotel room guest who may be unaware of deployed clandestine sensors. Previous methods focused on specific modalities such as detecting cameras but do not provide a generalizable and comprehensive method to capture arbitrary sensors which may be "spying" on a user. In this work, we seek to determine whether one can walk in a room and detect any wireless sensor monitoring an individual. As such, we propose SnoopDog, a framework to not only detect wireless sensors that are actively monitoring a user, but also classify and localize each device. SnoopDog works by establishing causality between patterns in observable wireless traffic and a trusted sensor in the same space, e.g., an inertial measurement unit (IMU) that captures a user's movement. Once causality is established, SnoopDog performs packet inspection to inform the user about the monitoring device. Finally, SnoopDog localizes the clandestine device in a 2D plane using a novel trial-based localization technique. We evaluated SnoopDog across several devices and various modalities and were able to detect causality 96.6% percent of the time, classify suspicious devices with 100% accuracy, and localize devices to a sufficiently reduced sub-space.

By Johnny Diaz The New York Times Company…

Apparatuses and methods of calibrating a memory interface are described. Calibrating a memory interface can include loading and outputting units of a first data pattern into and from at least a portion of a register to generate a first read capture window. Units of a second data pattern can be loaded into and output from at least the portion of the register to generate a second read capture window. One of the first read capture window and the second read capture window can be selected and a data capture point for the memory interface can be calibrated according to the selected read capture window.

Disclosed is a novel computer implemented system, on demand service, computer program product and a method that leverages combined concrete and symbolic execution and several fault-localization techniques to automatically detects failures and localizes faults in PHP Hypertext Preprocessor (“PHP”) Web applications.

Quantum annealing may include applying and gradually removing disorder terms to qubits of a quantum processor, for example superconducting flux qubits of a superconducting quantum processor. A problem Hamiltonian may be established by applying control signals to the qubits, an evolution Hamiltonian established by applying disorder terms, and annealing by gradually removing the disorder terms. Change in persistent current in the qubits may be compensated. Multipliers may mediate coupling between various qubits and a global signal line, for example by applying respective scaling factors. Two global signal lines may be arranged in an interdigitated pattern to couple to respective qubits of a communicatively coupled pair of qubits. Pairs of qubits may be communicatively isolated and used to measure a response of one another to defined signals.

Methods, apparatus, and computer programs for simulating the source of sound are provided. One method includes operations for determining a location in space of the head of a user utilizing face recognition of images of the user. Further, the method includes an operation for determining a sound for two speakers, and an operation for determining an emanating location in space for the sound, each speaker being associated with one ear of the user. The acoustic signals for each speaker are established based on the location in space of the head, the sound, the emanating location in space, and the auditory characteristics of the user. In addition, the acoustic signals are transmitted to the two speakers. When the acoustic signals are played by the two speakers, the acoustic signals simulate that the sound originated at the emanating location in space.

MRI compatible localization and/or guidance systems for facilitating placement of an interventional therapy and/or device in vivo include: (a) a mount adapted for fixation to a patient; (b) a targeting cannula with a lumen configured to attach to the mount so as to be able to controllably translate in at least three dimensions; and (c) an elongate probe configured to snugly slidably advance and retract in the targeting cannula lumen, the elongate probe comprising at least one of a stimulation or recording electrode. In operation, the targeting cannula can be aligned with a first trajectory and positionally adjusted to provide a desired internal access path to a target location with a corresponding trajectory for the elongate probe. Automated systems for determining an MR scan plane associated with a trajectory and for determining mount adjustments are also described.

Apparatus and methods are described including acquiring a first set of extraluminal images of a lumen, using an extraluminal imaging device. At least one of the first set of images is designated as a roadmap image. While an endoluminal device is being moved through the lumen, a second set of extraluminal images is acquired. A plurality of features that are visible within images belonging to the second set of extraluminal images are identified. In response to the identified features in the images belonging to the second set of extraluminal images, a plurality of local calibration factors associated with respective portions of the roadmap image are determined. Other applications are also described.

A calibration system may be provided for calibrating displays in electronic devices during manufacturing. The calibration system may include calibration computing equipment and a test chamber having a light sensor. The calibration computing equipment may be configured to operate the light sensor and the display to gather display performance data. The calibration computing equipment may extract display performance statistics from the display performance data and adaptively select and perform display calibration sequences using the display performance statistics. The calibration computing equipment may be configured to determine whether or not to perform display calibration and whether or not to gather additional display performance data based on display performance statistics extracted during a preceding display calibration sequence. The calibration computing equipment may be configured to iteratively and adaptively perform display calibration sequences until a display is successfully calibrated.

The systems and methods of the present disclosure calibrate impedance loss model parameters associated with an electrosurgical system having no external cabling or having external cabling with a fixed or known reactance, and obtain accurate electrical measurements of a tissue site by compensating for impedance losses associated with the transmission line of an electrosurgical device using the calibrated impedance loss model parameters. A computer system stores voltage and current sensor data for a range of different test loads and calculates sensed impedance values for each test load. The computer system then predicts a phase value for each load using each respective load impedance value. The computer system back calculates impedance loss model parameters including a source impedance parameter and a leakage impedance parameter based upon the voltage and current sensor data, the predicted phase values, and the impedance values of the test loads.

A method for localizing a needle to a nerve, the method comprising: using the needle to electrically stimulate the nerve, with a known current intensity, so as to evoke a nerve response;detecting the nerve response;analyzing the detected nerve response so as to identify at least one attribute of the same; andconfirming that the needle is in the immediate proximity of the nerve based upon known current intensity and at least one identified attribute of the detected nerve response.

The present invention relates to a novel method for synthesizing a composition of polymers, copolymers, terpolymers and tetrapolymers, and to the use thereof, said composition being made from: cyclodextrins, in particular α-cyclodextrin, β-cyclodextrin, γ-cyclodextrin, the derivatives or corresponding mixtures thereof, and/or calix[n]arene(s) and/or of calix[n]arene derivative(s) and/or a mixture of two or more different calix[n]arenes selected from calix[n]arenes (n=4-20) and/or the derivatives thereof, and to the uses thereof. A method was developed on the basis of direct-melt polycondensation. The invention can be used in the pharmaceutical, human medicine, veterinary medicine, chemistry, separation chemistry, environmental, electronics, biological, diagnostics, phytosanitation, medicinal food, agri-food, and cosmetics fields, and in the nutraceutical field and in the field of molecular imprints (MIP).

A method for calibrating (700) an antenna array comprises a plurality of antenna elements coupled to a plurality of respective receive paths in a wireless communication system. The method comprises, in receive mode, applying a test signal to an individual single receive path (715) of the plurality of receive paths; and feeding back the test signal via a switched coupler network. The method further comprises running a receive calibration measurement routine to determine at least one measurement value used to calibrate the individual signal receive path and waiting for at least one converged measurement value; and extracting (720) the converged measurement value for at least one individual receive path. The steps of applying, running, extracting for a next individual single receive path are repeated until the calibration routine has completed (725). The method further comprises selecting a converged measurement value of at least one individual receive path from a plurality of receive paths (730) to form a reference receiver calibration result (730); normalizing a plurality of at least one measurement values of the plurality of receive paths using the reference receiver calibration result (730); and applying a normalized value to at least one of the plurality of receive paths.

A counter is provided, where, as the number of events that occur increases, the frequency in which the events are counted is scaled.

A method for quickly calibrating a memory interface circuit from time to time in conjunction with operation of a functional circuit is described. The method uses controlling the memory interface circuit with respect to read data capture for byte lanes, including controlling CAS latency compensation for the byte lanes. In the method control settings for controlling CAS latency compensation are determined and set according to a dynamic calibration procedure performed from time to time in conjunction with functional operation of a circuit system containing one or more memory devices connected to the memory interface circuit. In the method, determining and setting the control settings for controlling CAS latency compensation is performed independently and parallely in each of the byte lanes.

An integrated circuit (10) has an internal RC-oscillator (20) for providing an internal clock signal (CLI) having an adjustable oscillator frequency. The integrated circuit (10) further comprises terminals (101, 102) for connecting an external LC tank (30) having a resonance frequency and a calibration circuit (40) which is configured to adjust the oscillator frequency based on the resonance frequency of the LC tank (30) connected during operation of the integrated circuit (10). An internal auxiliary oscillator (46) is connected to the terminals (101, 102) in a switchable fashion and is configured to generate an auxiliary clock signal (CLA) based on the resonance frequency. The calibration circuit (40) comprises a frequency comparator (47) which is configured to determine a trimming word (TRW) based on a frequency comparison of the internal clock signal (CLI) and the auxiliary clock signal (CLA). The LC tank (30) to be connected is an antenna for receiving a radio signal.

In a signal communication device, a frequency-selective filter has at least one component that is biased by a control signal to establish a center frequency of the frequency-selective filter. A closed-loop bias generator is provided to generate the control signal and to adjust the control signal based, at least in part, on a comparison of the control signal and a reference signal.

A RFID transponder includes a resonant circuit for providing a clock signal at a predetermined clock frequency, a self-calibration stage for calibrating the resonant circuit's current clock frequency towards the predetermined clock frequency. The self-calibration stage is adapted to compare a first clock frequency of the resonant circuit determined during an interrogation period, during which the resonant circuit is excited by an external RF signal, with a second clock frequency determined during a frequency maintenance period, during which the resonant circuit is excited internally through an oscillation maintenance circuit of the RFID transponder and to calibrate the resonant circuit towards the predetermined clock frequency based on the comparison result.

A method and apparatus for the calibration of neutron flux monitoring devices used in a nuclear reactor core. The apparatus includes a transverse in-core probe (TIP) cable with a neutron absorber located a fixed distance apart from a TIP detector. The neutron absorber may be passed within close proximity of the neutron flux monitoring device such that a perceived drop in measured neutron flux occurs, whereupon the cable may be repositioned relative to the monitoring device to ensure that the TIP detector is within close proximity of the monitoring device for purposes of calibrating the monitoring device.

A wind turbine rotor includes a hub with a rotor blade mounted to a bearing of the hub wherein the rotor blade has a longitudinal axis extending in a radial direction relative to an axis of rotation of the hub, and the rotor blade is rotatable about its longitudinal axis whereby the pitch of the rotor blade is adjustable. The rotor blade has a tag such as an RFID tag fixed on the rotor blade at a predetermined angular position about the longitudinal axis of the rotor blade; and a sensor is fixed on the hub for contactless sensing of the tag when the tag is in a predetermined angular position about the longitudinal axis of the rotor blade. Repeated and accurate calibration of rotor blade pitch is hereby made possible.

A computer-implemented method for gain calibration is provided. The method includes sorting the calibration data of each pixel location from the offset-corrected X-ray image data into a sequence. The method also includes removing part of the calibration data from one end or both ends of the respective sequence for each pixel location. The method further includes averaging the calibration data remaining within each respective sequence to obtain an average pixel value for each pixel location. The method yet further includes generating a gain map based on the average pixel value for each pixel location.

A method is disclosed for energy calibrating quantum-counting x-ray detectors in an x-ray installation including at least two x-ray systems turnable around a center of rotation. A target, for producing x-ray fluorescence radiation, is positioned between the first x-ray source and first x-ray detector and irradiated with x-radiation of the first x-ray source in such a way that x-ray fluorescence radiation which strikes the second x-ray detector from the target is produced by the x-radiation of the first x-ray source. The second x-ray detector is then energy calibrated by way of the x-ray fluorescence radiation of the target. The first x-ray detector can be energy calibrated in the same way with the aid of the x-radiation of the second x-ray source. With the proposed method, the x-ray detectors of a dual-source CT x-ray installation can be calibrated with little expenditure under conditions close to those of the system.

A method and system provides for execution of calibration cycles from time to time during normal operation of the communication channel. A calibration cycle includes de-coupling the normal data source from the transmitter and supplying a calibration pattern in its place. The calibration pattern is received from the communication link using the receiver on the second component. A calibrated value of a parameter of the communication channel is determined in response to the received calibration pattern. The steps involved in calibration cycles can be reordered to account for utilization patterns of the communication channel. For bidirectional links, calibration cycles are executed which include the step of storing received calibration patterns on the second component, and retransmitting such calibration patterns back to the first component for use in adjusting parameters of the channel at first component.

A method of calibrating an envelope tracking system for a supply voltage for a power amplifier module within a radio frequency (RF) transmitter module. The method includes deriving a mapping function between an instantaneous envelope of a waveform signal to be amplified by the power amplifier module and the power amplifier module supply voltage to achieve a constant power amplifier module gain based on a gain compression factor, setting an envelope tracking path of the transmitter module into an envelope tracking mode in which mapping between the instantaneous envelope of the waveform signal and the power amplifier module supply voltage is performed using the derived mapping function, applying a training signal comprising an envelope that varies with time to the RF transmitter module, measuring a battery current, modifying the gain compression factor based on the measured battery current, and re-deriving the mapping function based on the modified gain compression factor.

In one example, a method includes receiving an indication of an input gesture detected at a presence-sensitive input device, where the input gesture includes one or more input points and each input point is detected at a respective location of the presence-sensitive input device. The method may also include determining a focal point of the input gesture, and determining a radius length. The method may also include determining a shape centered at the focal point and having a size determined based on the radius length. The method may also include responding to a change in a geometric property of the shape by scaling information included in a graphical user interface, where the scaling of the information being centered at the focal point.

Implementations for exciting two or more modes via modal decomposition of a pulse by a wave launcher are generally disclosed.

A phase-locked loop double-point modulator may include a frequency divider having a ratio which can be changed by a first modulation signal, and an oscillator, a frequency of which can be changed by a second modulation signal correlated to the first modulation signal. A calibration circuit may be configured, in a calibration mode, to match the gains of the first and second modulation signals based on frequency measurements of the oscillator for two different calibration values of the second modulation signal. The phase-locked double-point modulator may also include an attenuator having a constant ratio greater than 1 and placed in the path of the second modulation signal, and a selector switch configured to be controlled by the calibration circuit to reduce the ratio of the attenuator in the calibration mode.

Embodiments include systems and methods for accurately controlling gain of a high-speed variable-gain amplifier (VGA) without adversely impacting bandwidth performance. Embodiments include a VGA with a variable resistor, for which resistance is a function of a control level. A gain calibration system controls the control level by using a gain control feedback subsystem to sample outputs of a duplicate VGA, which includes a duplicate variable resistor. The sampled duplicate outputs are compared to a target gain generated by a reference generator. The control level can be fed back to control the gain of the duplicate VGA until the target gain is reached. The control level can also be fed to the actual VGA to control its gain. By performing gain control on the duplicate VGA without interfering with the output signal path of the actual VGA, the actual VGA's gain can be accurately controlled without impacting its bandwidth.

In a method for correcting a calibration table T(n,k) of a CT apparatus that contains calibration values, the CT apparatus having a detector system with N≧2 rows of detector elements following one another in the z-direction that include a first active row of detector elements in the z-direction and a last active row of detector elements in the z-direction, for correcting the calibration values of the aforementioned first and last active rows of detector elements, a reference vector R(k) is produced, the error is determined with respect to the first and last active rows of detector elements, and the error F(n,k) of the first and last active rows of detector elements is subtracted from the corresponding calibration values of the calibration table T(n,k) for determining corrected calibration values Tcor(n,k) with respect to the first and last active rows of detector elements.

In one implementation, a method for providing a fluid at a target pressure may include providing a fluid at a velocity to a supply line through a dispenser, measuring a pressure of the fluid flowing through the supply line, comparing the measured pressure with the target pressure, and adjusting the velocity based on the results of the comparison.

A method for calibrating a moving object impact detector is disclosed. A controller may receive input indicative of movement of an impact element from a first position to a second position. The controller may also receive an activation signal corresponding to the movement of the impact element. The controller may further receive input indicative of instructions to correlate the activation signal with the movement of the impact element. The controller may selectively set the activation signal as a reference signal for the detector, with the reference signal being indicative of an impact the moving object impact detector is set to detect.

Systems and associated methods for reciprocity calibration of MIMO wireless communication are disclosed. In one embodiment, a method includes receiving, by a base station, a first set of pilot symbols by receivers (RXes) of the base station based on a first pilot symbol transmitted from a transmitter (TX) of at least one reference antenna, transmitting, by the base station, a second pilot symbol by TXes of the base station, wherein the transmitted second pilot symbol is received by an RX of the at least one reference antenna as a second set of r0,i pilot symbols calculating non-reciprocity compensation factors based on the first set of pilot symbols and the second set of pilot symbols.

Methods and apparatus to calibrate rod pump controllers are described. An example method includes obtaining initial values related to a pumping unit, determining parameters based on the initial values, the parameters including at least one of a leaked off load value, a residual friction value, and a buoyant rod weight value, and based on one or more of the initial values and the parameters, calculating one or more dimensions of a rod string, the one or more dimensions to be used to determine a pump card of the pumping unit.

Technologies for controlling timing calibration of a dedicated inter-integrated circuit data bus by a primary microcontroller are disclosed. The primary microcontroller performs a data transfer with a secondary integrated circuit using the dedicated inter-integrated circuit data bus, and determines a duration of the data transfer. If the duration is outside of an acceptable range, the primary microcontroller updates one or more data transfer timing parameters so that the duration of future data transfers are closer to the acceptable range.

A method is provided for producing a large-calibre explosive projectile having a projectile casing with an ogival front part, which surrounds an internal area filled with a plastic-bonded explosive charge and, at a nose end, has a mouth closed by a nose fuze, wherein an elastic liner is arranged between the explosive charge and the inner wall of the projectile casing. The projectile casing is produced in two parts, such that, in the direction of the longitudinal axis of the projectile casing, a tail-end projectile casing section and an annular front projectile casing section, which contains the mouth, can be connected to one another in the area of the ogival front part, via a screw connection. The liner is introduced into the tail-end projectile casing section and the explosive charge is introduced into the liner before the two projectile casing sections are connected to one another.

Embodiments relate to unidirectional TPMS utilizing information from a corresponding vehicle system in order to correlate with vehicle speed information to be used in a tire localization methodology. In an embodiment, the vehicle system is an anti-lock brake system (ABS), and the vehicle speed can be used in a localization scheme that reconstructs a +/−1 g ripple with waveform, amplitude, frequency and phase parameters. Because the waveform is known to be sinusoidal (due to the wheel rotation), the amplitude is known to be 2 g peak-to-peak (due to the gravitational +/−1 g), the frequency depends on vehicle speed (which can be estimated from centrifugal force measurements), and an algorithm is discussed herein for determining the phase by correlation, the +/−1 g ripple can be reconstructed and the wheels localized therefrom.