766 results about "Noise measurement" patented technology

A method of estimating the navigational state of a system entails acquiring observation data produced by noisy measurement sensors and providing a probabilistic inference system to combine the observation data with prediction values of the system state space model to estimate the navigational state of the system. The probabilistic inference system is implemented to include a realization of a Gaussian approximate random variable propagation technique performing deterministic sampling without analytic derivative calculations. This technique achieves for the navigational state of the system an estimation accuracy that is greater than that achievable with an extended Kalman filter-based probabilistic inference system.

A method of monitoring an element in wireless communication system is provided. An operational noise measurement is obtained by measuring a noise value outside of a bandwidth of a first device, but within a bandwidth of a second, subsequent device. The operational noise measurement is alternatively obtained by tuning an input band of the element to shift the input band partially or completely outside of a bandwidth of a first device to create an open band or by suppressing an input of the antenna and measuring noise within the open bandwidth of the element of the wireless communication network. A stored parameter is retrieved and compared to the measured operational noise. Alternatively, a leakage signal of the element may be received at a signal receiver and compared to a reference. The reference is a function of components of the wireless communication system in a leakage path of the leakage signal.

Neural networks for optimal estimation (including prediction) and / or control involve an execution step and a learning step, and are characterized by the learning step being performed by neural computations. The set of learning rules cause the circuit's connection strengths to learn to approximate the optimal estimation and / or control function that minimizes estimation error and / or a measure of control cost. The classical Kalman filter and the classical Kalman optimal controller are important examples of such an optimal estimation and / or control function. The circuit uses only a stream of noisy measurements to infer relevant properties of the external dynamical system, learn the optimal estimation and / or control function, and apply its learning of this optimal function to input data streams in an online manner. In this way, the circuit simultaneously learns and generates estimates and / or control output signals that are optimal, given the network's current state of learning.

A method and apparatus that automatically tracks, monitors and schedules the shipping of objects through carriers such as delivery trucks, ships, or planes is disclosed. A tracking tag is attached to each shipped object. The tracking tag and transportation system uses such techniques as GPS, cellular technology, and bar coding, and sensors such as those that make temperature, pressure, and noise measurements as sources of tracking information. Logic rules and hierarchical weights are given to each source, for any given condition so that the most accurate tracking is made. Tracking is continuous throughout the object's trip. Another set of logic rules is applied to take actions to intervene in the shipping process. For example if it seems the object is off schedule, upgrades or downgrades to the shipping are made. The transportation system can be integrated within a customer's company to facilitate easy scheduling, and production management. A user-friendly graphical user interface is available which displays item, time and distance related information.

Improved pilot signal sequences which facilitate multiple channel quality measurements, e.g., through the use of different signal pilot transmission power levels, are described. In various implementations the transmitted pilot sequences facilitate determining the contribution of interference from other sectors of a cell using the same tones, e.g., in a synchronized manner, as the sector in which the pilot signal measurements are being made. To measure noise contributions from neighboring sectors a sector NULL pilot, e.g., a pilot with zero power, is transmitted in an adjacent sector at the same time a pilot signal with a pre-selected, and therefore known, non-zero power is transmitted in the sector where the received pilot signal measurement is made. To facilitate background noise measurements, a cell NULL is supported in some embodiments. In the case of a cell NULL, all sectors of a cell transmit a Null pilot, on a tone that is used to measure background noise. Since no power is transmitted in the cell on the tone during the measurement, any measured signal on the tone is attributable to noise, e.g., background noise which may include inter-cell interference.

A method of estimating the navigational state of a system entails acquiring observation data produced by noisy measurement sensors and providing a probabilistic inference system to combine the observation data with prediction values of the system state space model to estimate the navigational state of the system. The probabilistic inference system is implemented to include a realization of a Gaussian approximate random variable propagation technique performing deterministic sampling without analytic derivative calculations. This technique achieves for the navigational state of the system an estimation accuracy that is greater than that achievable with an extended Kalman filter-based probabilistic inference system.

A spread-spectrum preamble synchronization peak detection system performs multiple statistical tests based on instant and time-averaged channel condition measurements to identify the synchronization peak. In a normalized peak-to-average test, a peak-to-average ratio measurement is normalized by a signal-to-noise ratio measurement to form a new statistical measure which effectively eliminates the impact of the wide dynamic range of the signal-to-noise ratio of the received samples. A transition SNR test is used to eliminate potential false alarms caused by spurious PARN peaks during the transition period at the onset of preamble arrival. Code-phase aligned time-averaging is used to estimate the signal and noise levels over a sliding window. The code-phase alignment of samples effectively separates signal and noise samples in the averaging process, and resulting in more accurate signal and noise measurements. In estimating noise levels, the system takes multi-path interference into account by excluding both the peak signal and the side-lobe signals caused by multi-path wireless channels, resulting in more accurate estimation of noise level.

The presence or absence of objects is determined by interrogating or exciting transponders coupled to the objects using pulsed wide band frequency signals. Ambient or background noise is evaluated and a threshold adjusted based on the level of noise. Adjustment may be based on multiple noise measurements or samples. Noise detection may be limited, with emphasis placed on interrogation to increase the signal to noise ratio. Match filtering may be employed. Appropriate acts may be taken if detected noise is out of defined limits of operation, for example shutting down interrogation and / or providing an appropriate indication.

In a capacitive sensor of the type having X electrodes which are driven and Y electrodes that are used as sense channels connected to charge measurement capacitors, signal measurements are made conventionally by driving the X electrodes to transfer successive packets of charge to the charge measurement capacitors. However, an additional noise measurement is made by emulating or mimicking the signal measurement, but without driving the X electrodes. The packets of charge transferred to the charge accumulation capacitor are then indicative of noise induced on the XY sensing nodes. These noise measurements can be used to configure post-processing of the signal measurements.

An inter-cell interference coordination method comprises: measuring an interference over thermal noise of a first subcarrier resource block in an uplink direction and obtaining an interference over thermal noise measurement value by a first base station; judging whether a first high interference indicating message is received from a second base station when the interference over thermal noise measurement value is larger than a first preset threshold value by the first base station; sending an overload indicator message to the second base station which has sent the high interference indicating message or shielding the first subcarrier resource block by the first base station when the first high interference indicating message is received; and sending the overload indicator message to base stations to which all the neighboring cells belong by the first base station when the first high interference indicating message is not received. The overhead at X2 interface is reduced according to the present invention.

Neural networks for optimal estimation (including prediction) and / or control involve an execution step and a learning step, and are characterized by the learning step being performed by neural computations. The set of learning rules cause the circuit's connection strengths to learn to approximate the optimal estimation and / or control function that minimizes estimation error and / or a measure of control cost. The classical Kalman filter and the classical Kalman optimal controller are important examples of such an optimal estimation and / or control function. The circuit uses only a stream of noisy measurements to infer relevant properties of the external dynamical system, learn the optimal estimation and / or control function, and apply its learning of this optimal function to input data streams in an online manner. In this way, the circuit simultaneously learns and generates estimates and / or control output signals that are optimal, given the network's current state of learning.

Provided is an apparatus for automatically inspecting a road surface pavement condition, includes: a road surface photographing unit; a road surface rutting measuring unit; a flatness measuring unit; a data analysis and storage unit; a traveling noise measuring unit; and an auxiliary unit for supplying electric power. The automatic road surface pavement condition inspection apparatus is equipped in a vehicle and thus automatically inspects a road surface pavement condition and a state of surrounding circumstances of a road, when the vehicle runs along the road, to thereby make up and offer objective data that everyone can easily grasp and thus provide a road inspector with the objective data for maintenance and repair and post-control and pre-control of the road.

A method for the measurement of the stresses and pressure perturbations surrounding a well, and a system for computing the optimum location for initiating a hydraulic stress fracture. The technique includes using sensors attached to the wellbore casing connected to a data analyzer. The analyzer is capable of analyzing the stresses on the well system. Using an inverse problem framework for an open-hole situation, the far field stresses and well departure angle are determined once the pressure perturbations and stresses are measured on the wellbore casing. The number of wellbore measurements needed for the inverse problem solution also is determined. The technique is also capable of determining the optimal location for inducing a hydraulic fracture, the effect of noisy measurements on the accuracy of the results, and assessing the quality of a bond between a casing and a sealant.

A method of monitoring an element in wireless communication system is provided. An operational noise measurement is obtained by measuring a noise value outside of a bandwidth of a first device, but within a bandwidth of a second, subsequent device. The operational noise measurement is alternatively obtained by tuning an input band of the element to shift the input band partially or completely outside of a bandwidth of a first device to create an open band or by suppressing an input of the antenna and measuring noise within the open bandwidth of the element of the wireless communication network. A stored parameter is retrieved and compared to the measured operational noise. Alternatively, a leakage signal of the element may be received at a signal receiver and compared to a reference. The reference is a function of components of the wireless communication system in a leakage path of the leakage signal.

A passive microwave thermography apparatus uses passive microwave antennas designed for operation, for example, at WARC protected frequencies of 1.400 to 1.427 GHz and 2.690 to 2.70 GHz (for core body gradient temperature measurement) and 10.68 to 10.700 GHz or higher microwave frequency (for surface body gradient temperature measurement) and a related directional antenna or antenna array to measure microwave radiation emanating from an animal, especially, a human body. The antennae may be radially directed toward a point within or on the surface of a human body for comparison with known temperature distribution data for that point and a given ambient temperature. Each frequency band may provide a plurality of adjacent noise measuring channels for measuring microwave noise naturally emitted by the human body. The apparatus measures short-term changes in, for example, core and body surface temperatures to establish a basal metabolic rate. Changes in core body temperature may be stimulated by the administration of food or certain organic and drug-related substances or stress to induce a change in basal metabolic rate over time. These changes correlate directly with a human subject's metabolism rate at rest and under certain dietary constraints and can be used to determine courses of treatment for obesity, metabolic disease, and other disorders. The apparatus can also be used to remotely monitor patients and subjects without physical contact.

Methods and apparatuses for noise management are disclosed. In one example, a method includes receiving a plurality of noise level measurements taken at a plurality of headsets. The method includes receiving a plurality of location data, including receiving a location data associated with each headset in the plurality of headsets. In one example, the method further includes adjusting an environmental parameter utilizing the noise level measurements. In one example, the method further includes providing location services to a user directing the user to a geographical area having a lower noise level.

Phase noise detection systems for a device under test (DUT) are provided that can be embedded within a chip. According to one embodiment, the embedded phase noise detection system can include an active delay line cell, a phase shifter, and a phase detector. The active delay line and phase shifter separately receive the output signal of the DUT. The phase detector can include a double-balanced mixer followed by an active RC filter. The double-balanced mixer receives, as input, the outputs from the active delay line and phase shifter and can produce different dc voltages proportional to the difference from the input phase quadrature. An auto-adjustment circuit can also be included to help the input signal from the phase shifter to the mixer maintain quadrature.

An automatic, electromechanical microwave tuner, used for load pull transistor testing, employs three horizontally and vertically adjustable RF probes; the tuner creates very low mechanical vibrations, because it is capable of generating all microwave reflection factors required for complete load pull and noise measurement operations, using only vertical probe movement; it also provides high tuning dynamic range, large frequency bandwidth and continuous choice of tuning target areas.

The present invention provides digital subscriber line noise mitigation techniques, and applications thereof. In an embodiment, the present invention provides a toolbox of methods and techniques for mitigating the effects of noise in xDSL systems. These methods and techniques are controllable and locatable at one or both ends of a DSL communication link (e.g., within a central office transceiver unit or a remote transceiver unit). These novel methods and techniques include: (1) per tone noise margin modification, (2) data framer constraints modification, (3) improved noise measurements; (4) more robust on-line reconfiguration processes, (5) worst case noise monitoring, (6) induced bit rate limitations, and (7) distortion noise mitigation. These methods and techniques are particularly useful for mitigating the effects of time-varying noise and impulse noise.

The invention discloses audible noise measuring circuit and method of a power capacitor. The audible noise measuring method comprises the following steps of: selecting a noise-eliminating test area; mounting a power capacitor to be measured in the noise-eliminating test area; setting a power capacitor to be measured in accompany; building the power capacitor to be measured and the power capacitorto be measured in accompany into a bridge-type power capacitor loading circuit; respectively loading an external high-voltage alternating current power source and an external harmonic power source attwo ends of the bridge-type power capacitor loading circuit, wherein the whole bridge-type circuit achieves resonance state under the common action of power frequency voltage generated by the high-voltage alternating current power source and various time harmonic voltage generated by the harmonic power source; and obtaining various noise values generated by the power capacitor to be measured in an actual work state according to data which are measured by a noise sensor arranged around the power capacitor to be measured and are related to the noise. The invention reduces the random of the noise measuring operation of the power capacitor, so that a measuring result has more comparability and a set of noise measuring method of the power capacitor with systematicness, completeness, science and reasonability is formed.

The presence or absence of objects is determined by interrogating or exciting transponders coupled to the objects using pulsed wide band frequency signals. Interrogation is broken down into a number of subsample scan cycles each having interrogation cycles a start time forward in time by a fraction of a period of an expected transponder response signal. Ambient or background noise is evaluated and a threshold adjusted based on the level of noise. Adjustment may be based on multiple noise measurements or samples. Noise detection may be limited, with emphasis placed on interrogation to increase the signal to noise ratio. Matched filtering may be employed. Presence / absence determination may take into account frequency and / or Q value to limit false detections. Appropriate acts may be taken if detected noise is out of defined limits of operation, for example shutting down interrogation and / or providing an appropriate indication.

The present invention relates to method and system for distinguishing speech from music in a digital audio signal in real time. A method for distinguishing speech from music in a digital audio signal in real time for the sound segments that have been segmented from an input signal of the digital sound processing systems by means of a segmentation unit on the base of homogeneity of their properties, comprises the steps of: (a) framing an input signal into sequence of overlapped frames by a windowing function; (b) calculating frame spectrum for every frame by FFT transform; (c) calculating segment harmony measure on base of frame spectrum sequence; (d) calculating segment noise measure on base of the frame spectrum sequence; (e) calculating segment tail measure on base of the frame spectrum sequence; (f) calculating segment drag out measure on base of the frame spectrum sequence; (g) calculating segment rhythm measure on base of the frame spectrum sequence; and (h) making the distinguishing decision based on characteristics calculated.

The present disclosure is directed to iterative regularized reconstruction methods. In certain embodiments, the methods incorporate locally-weighted total variation denoising to suppress artifacts induced by PSF modeling. In certain embodiments, the methods are useful for suppressing ringing artifacts while contrast recovery is maintained. In certain embodiments, the weighting scheme can be extended to noisy measures introducing a noise-independent weighting scheme. The present disclosure is also directed to a method for quantifying radioligand binding in a subject without collecting arterial blood. In certain embodiments, the methods incorporate using imaging data and electronic health records to predict one or more anchors, which are used to generate an aterial input function (AIF) for the radioligand.

The invention relates to a double-channel digital phase noise detection device and a phase noise detection method. An input sinusoidal signal from 1 to 100MHz is subjected to work distribution and phase shift, then double-channel quadrature sampling and digital signal processing technologies are utilized to extract phase noise in real time, so that the problem that the Fourier frequency is required to be corrected and calibrated and subjected to other testing links in the traditional measurement method is solved, an orthogonal reference source with the same frequency as a source to be tested is not required, and through utilizing a fixed reference source, the phase difference between the source to be tested and the reference source can be accurately measured in real time.

Provided is an apparatus for automatically inspecting a road surface pavement condition, includes: a road surface photographing unit; a road surface rutting measuring unit; a flatness measuring unit; a data analysis and storage unit; a traveling noise measuring unit; and an auxiliary unit for supplying electric power. The automatic road surface pavement condition inspection apparatus is equipped in a vehicle and thus automatically inspects a road surface pavement condition and a state of surrounding circumstances of a road, when the vehicle runs along the road, to thereby make up and offer objective data that everyone can easily grasp and thus provide a road inspector with the objective data for maintenance and repair and post-control and pre-control of the road.

The invention discloses an RSSI and TOA distance measurement based WIFI indoor positioning method. The RSSI and TOA distance measurement based WIFI indoor positioning method comprises the steps of acquiring an RSSI signal and establishing a database, adopting a positioning matching algorithm to perform data processing, adopting arrival time or colored noise elimination to perform distance measurement, establishing and rotating a planar rotating frame and performing searching, positioning and judgment. The RSSI and TOA distance measurement based WIFI indoor positioning method adopts united RSSI and TOA distance measurement to perform positioning, overcomes the defects existing when an RSSI and TOA are independently positioned and improves positioning precision and accuracy. Especially, a measurement error adapts to change of distance measurement data by establishing a target state equation and a colored noise measurement equation, and large-deviation data filtering-out effect is good. In addition, the planar rotating frame diagram established by means of the method enables the positioning process to be accurate and enables a positioning result to be high in accuracy and approximate to an actual result, and the RSSI and TOA distance measurement based WIFI indoor positioning method can be widely applied to WIFI based indoor positioning.

In a display device having a pixel circuit including an electro-optical element in which brightness is controlled by a current, and including a drive transistor for controlling a current to be supplied to the electro-optical element, a drive method therefor includes: a noise measurement step of measuring noise; characteristic detection steps of detecting characteristics of the drive transistor and the electro-optical element; a correction data update step of updating correction data, which serves for correcting a video signal, based on detection results in the characteristic detection step; and a video signal correction step of correcting the video signal based on the correction data. When noise with a standard value or more is detected in the noise measurement step, processing of the correction data update step is not performed.

Phase noise in a first clock signal is measured using a time to digital converter (TDC) by determining variations in the phase delay between the first clock signal and a second clock signal. The TDC can include first and second series interconnections of delay elements, first and second sets of latches, and processing circuitry coupled to the latches and configured to determine the phase delay. The TDC can include a series interconnection of delay elements, latches, and circuitry configured to selectively adjust the control signal connected to the delay elements based on the output of the latches. The phase noise measurement can be used in a sampling circuit, so as to produce a second data signal from a first data signal based on the first clock signal and the measured phase noise.

A method of detecting interference in a received sample vector using hidden Markov modelling by first estimating noise variance, where estimating noise variance comprises the steps of receiving a sample vector of noise and interference, sorting the sample vector in the frequency domain by order of increasing magnitude to produce an ordered vector, finding a sub-vector of the ordered vector that minimises the distance from a noise measure, and estimating the noise variance.