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104 results about "Dynamic noise" patented technology

Dynamic noise limiter and dynamic noise reduction. Dynamic noise limiter (DNL) is an audio noise reduction system originally introduced by Philips in 1971 for use on cassette decks. Its circuitry is also based on a single chip. It was further developed into dynamic noise reduction (DNR) by National Semiconductor to reduce noise levels on long ...

Speech recognition by dynamical noise model adaptation

The invention provides a Hidden Markov Model (132) based automated speech recognition system (100) that dynamically adapts to changing background noise by detecting long pauses in speech, and for each pause processing background noise during the pause to extract a feature vector that characterizes the background noise, identifying a Gaussian mixture component of noise states that most closely matches the extracted feature vector, and updating the mean of the identified Gaussian mixture component so that it more closely matches the extracted feature vector, and consequently more closely matches the current noise environment. Alternatively, the process is also applied to refine the Gaussian mixtures associated with other emitting states of the Hidden Markov Model.
Owner:GOOGLE TECH HLDG LLC

Apparatus and method for speech segment detection and system for speech recognition

Provided are an apparatus and method for speech segment detection, and a system for speech recognition. The apparatus is equipped with a sound receiver and an image receiver and includes: a lip motion signal detector for detecting a motion region from image frames output from the image receiver, applying lip motion image feature information to the detected motion region, and detecting a lip motion signal; and a speech segment detector for detecting a speech segment using sound frames output from the sound receiver and the lip motion signal detected from the lip motion signal detector. Since lip motion image information is checked in a speech segment detection process, it is possible to prevent dynamic noise from being misrecognized as speech.
Owner:HYUNDAI MOTOR CO LTD +1

Method and apparatus for canceling fan noise in a computer system

ActiveUS7693292B1Improving fan operability assuranceEasy to operateEar treatmentNoise generationSpectral patternDynamic noise
One embodiment of the present invention provides a system that cancels fan noise in a computer system. During operation, the system obtains a fan noise signal using a microphone. Next, the system generates a spectral pattern based on the obtained fan noise signal. The system then uses the spectral pattern to identify a corresponding cancellation spectrum in an anti-spectra library. Next, the system generates a noise-canceling signal using the cancellation spectrum. Note that the amount of computation required to cancel fan noise is reduced because generating the noise-canceling signal using the anti-spectra library requires less computation than generating the noise-canceling signal using dynamic noise-cancellation techniques.
Owner:ORACLE INT CORP

Multi-system dynamic PPP resolving method based on robust self-adaption Kalman smoothing

The invention discloses a multi-system dynamic PPP resolving method based on robust self-adaption Kalman smoothing. The method includes the steps that receiving machine outline coordinates and receiving machine clock bias of all systems are solved through selecting-weight-iteration pseudo-range single-point positioning, and accordingly all positioning error correction values are calculated according to an error correction model in combination with the satellite precise ephemeris and satellite precise clock bias; strict data quality control is conducted on observation data. Due to the fact that dynamic PPP accuracy is easily affected by undetected small cycle slips or the gross error and the like, an observation equation weight matrix is adjusted according to the observation value residual vectors, and the undetected small cycle slips or the gross error and other influence factors are removed; self-adaption factors are determined according to the state predictive information, and thus the influence on parameter estimation of the predictive information is controlled. By means of the method, when multi-system dynamic PPP is conducted through a single receiving machine, the feature that the number of multi-system satellites is increased greatly, on the basis that the stability of the satellite structure is guaranteed, the influence of the gross error is weaken effectively, the dynamic noise abnormity in dynamic positioning is improved, and finally the high-precision and high-stability multi-system dynamic PPP result is achieved.
Owner:SOUTHEAST UNIV

Method and apparatus for image noise reduction using noise models

A method and apparatus for processing imager pixel signals to reduce noise. The processing includes receiving a target pixel signal, receiving at least one neighboring pixel signal, formulating a dynamic noise signal based at least in part on a value of the target pixel signal, and controlling a noise reduction operation using the dynamic noise signal.
Owner:MICRON TECH INC

Distance dependent error mitigation in real-time kinematic (RTK) positioning

A method for mitigating atmospheric errors in code and carrier phase measurements based on signals received from a plurality of satellites in a global navigation satellite system is disclosed. A residual tropospheric delay and a plurality of residual ionospheric delays are modeled as states in a Kalman filter. The state update functions of the Kalman filter include at least one baseline distance dependant factor, wherein the baseline distance is the distance between a reference receiver and a mobile receiver. A plurality of ambiguity values are modeled as states in the Kalman filter. The state update function of the Kalman filter for the ambiguity states includes a dynamic noise factor. An estimated position of mobile receiver is updated in accordance with the residual tropospheric delay, the plurality of residual ionospheric delays and / or the plurality of ambiguity values.
Owner:DEERE & CO

Dynamic noise reduction

A speech enhancement system improves the speech quality and intelligibility of a speech signal. The system includes a time-to-frequency converter that converts segments of a speech signal into frequency bands. A signal detector measures the signal power of the frequency bands of each speech segment. A background noise estimator measures a background noise detected in the speech signal. A dynamic noise reduction controller dynamically models the background noise in the speech signal. The speech enhancement renders a speech signal perceptually pleasing to a listener by dynamically attenuating a portion of the noise that occurs in a portion of the spectrum of the speech signal.
Owner:MALIKIE INNOVATIONS LTD

Homomorphic evaluation including key switching, modulus switching, and dynamic noise management

Homomorphic evaluations of functions are performed. The functions include operation(s). Variants of key switching and modulus switching are described and are performed prior to or after the operation(s). A key switching transformation converts a ciphertext with respect to a first secret key and a first modulus to a ciphertext with respect to a second secret key and a second modulus. A key switching transformation converts a first version of a ciphertext with respect to a first secret key and with some number r bits of precision to a second version of the selected ciphertext with respect to a second keys and with some other number r′ bits of precision. The ciphertexts may be operated on as polynomials represented using evaluation representation, which has benefits for multiplication and automorphism. Further, ciphertexts are associated with an estimate of noise, which is used to determine when to perform modulus switching on the ciphertexts.
Owner:INT BUSINESS MASCH CORP +1

Method and apparatus for recognizing speech in a noisy environment

An apparatus and a concomitant method for speech recognition. In one embodiment, the present method is referred to as a “Dynamic Noise Compensation” (DNC) method where the method estimates the models for noisy speech using models for clean speech and a noise model. Specifically, the model for the noisy speech is estimated by interpolation between the clean speech model and the noise model. This approach reduces computational cycles and does not require large memory capacity.
Owner:SRI INTERNATIONAL

Adaptive extended kalman filtering-based road slope estimation method

ActiveCN106840097AOvercoming Estimation Divergence ProblemAdjust noiseIncline measurementRelational modelData acquisition
The invention discloses an adaptive extended kalman filtering-based road slope estimation method which comprises the following steps: acquiring vehicle state data through a data acquisition device, and calculating model parameters according to the vehicle state data and fixed parameters of a vehicle; then building an extended kalman filtering estimation model based on a relation model between a slope and the vehicle state data; finally, improving the kalman filtering estimation model into an adaptive extended kalman filtering algorithm model. According to the method provided by the invention, by the use of an adaptive extended kalman filtering algorithm capable of realizing rapid convergence and real-time estimation, the road slope can be dynamically estimated in real time according to the vehicle driving state data, so that real-time road slope information can be supplied to a driver, and important basis can be supplied for automatic driving assistant decision making, green driving and automatic transmission gear shifting control, to realize safe, economical and comfortable driving; the slope estimation precision under uncertain dynamic noise influence is improved, and the application range is extended.
Owner:重庆大学溧阳智慧城市研究院

On-chip decoupling capacitance and power/ground network wire co-optimization to reduce dynamic noise

A semiconductor power network (100) decoupling capacitance (decap) budgeting problem is co-optimized with a wiring enhancement problem, wherein the solution is formulated to minimize the total decap to be added or wiring changes (addition of wires (420)) to be made to the network (100). Voltage constraints, available white space and other constraints determine the amount of decap to be added. Wire enhancements and / or added decap can be distributed throughout a violation region (120) of the semiconductor circuit (100) design to reduce dynamic supply voltage noise so that dynamic network voltages are at all times maintained greater than a user-specified threshold voltage level (220).
Owner:NXP USA INC

High-speed low-kickback-noise dynamic comparer and circuit

The invention discloses a dynamic comparator with high speed and low kick noise, which belongs to the field of analog integrated circuits. Its structure includes: pre-amplification stage, current compensation branch for suppressing kickback noise, positive feedback regeneration stage composed of N-channel transistor and P-channel transistor cross-coupling unit, current between pre-amplification stage and positive feedback regeneration stage A control unit, a reset control unit, an offset calibration unit, and an inverter output driver stage. The two current compensation branches that suppress the kickback noise compensate the current attenuation of the main channel to ensure a constant working current of the input pair tube, thereby suppressing the influence of the kickback noise on the input signal, thereby increasing the size of the input pair tube and reducing offset voltage, increasing the response speed. Compared with the traditional comparator, the invention satisfies the requirement of high speed and low power consumption, and exhibits excellent kickback noise suppression ability.
Owner:SHANGHAI RES INST OF MICROELECTRONICS SHRIME PEKING UNIV

High-precision successive approximation type analog-digital converter and performance lifting method based on DNL (dynamic noise limiter)

The invention provides a high-precision successive approximation type analog-digital converter and a performance lifting method based on a DNL (dynamic noise limiter). The high-precision successive approximation type analog-digital converter comprises a redundancy weight capacitor array, a comparator, a coding and reconstructing circuit, a weight storage circuit and a control logic circuit, wherein the redundancy weight capacitor array is used for acquiring an input voltage on a sampling stage to generate an output voltage, and realizing voltage addition and subtraction operation by controlling the corresponding weight capacitor of the redundancy weight capacitor array according to the comparator output results on the conversion stage; the comparator is used for comparing the output voltage of the redundancy weight capacitor array; the coding and reconstructing circuit is used for calculating an output code of the successive approximation type analog-digital converter according to the comparator output results and the capacitor weight in the weight storage circuit; the weight storage circuit is used for capacitor weight; the control logic circuit is used for controlling the sampling and conversion stage of the redundancy weight capacitor array. The invention further provides the performance lifting method based on the DNL (dynamic noise limiter). According to the high-precision successive approximation type analog-digital converter provided by the invention, the digital correction of capacitor mismatch errors is realized by adopting the capacitor array with the redundancy weight, and the conversion speed and the linear speed are increased.
Owner:CHONGQING GIGACHIP TECH CO LTD

Fast Dynamic Noise Detection/Adaptation System For DSL Modems

A systems and a method for a DMT-based DSL modem to detect time-varying noise dynamically during transmission and adapt to its rapid changes promptly by increasing or reducing data rate while maintaining the transmission and utilizing maximum channel capacity. A DMT-based modem reserves a first set of sub-channels to detect and measure the time-varying noise. The modem further provides reliable communications for control messages through a second set of sub-channels. The control messages are used to adjust communication to adapt to the new noise conditions over all sub-channels.
Owner:IKANOS COMMUNICATIONS

Simulation image signal processing method for CMOS imaging sensor and circuit thereof

ActiveCN101132486AImplement color gain controlNot affected by exposure gain controlTelevision system detailsTelevision system scanning detailsSignal processing circuitsDynamic noise
This invention discloses a method for precessing analog image signals and its circuit of CMOS image sensor, which divides a pixel matrix into two symmetric odd and even arrays and sends related double sample values of each pixel signal to related two symmetric odd and even aray pixel simmulation image signal process circuits composed of a primary switch capacitance difference operation amplifying circuit only orderly at positive and negative half cycles of a line clock to carry out subtraction operation to eliminate dynamic noise and fixed mode noise of the circuit generated by the difference of sample circuits in different ranks and their drive circuit devices and realize control of color gain, exposal gain and dark background not influenced by the exposal background contol.
Owner:BYD SEMICON CO LTD

Localized dynamic element matching and dynamic noise scaling in digital-to-analog converters (DACS)

Methods and systems are provided for using localized dynamic element matching (DEM) and / or dynamic noise scaling (DNS) in digital-to-analog converters (DACs). Adaptive (localized) DEM may be applied in a DAC, by selecting one or more of a plurality DAC elements in the DAC, forcing the selected one or more of the plurality of DAC elements not to switch during digital-to-analog conversions, and scrambling remaining one or more of plurality of DAC elements when generating an output of the DAC. The adaptive DEM may be applied when the DAC input is backed off from full-scale. DNS may be applied in a DAC, by adaptively selecting one or more of a plurality DAC elements in the DAC and switching off the selected one or more of the plurality DAC elements such that the selected one or more of the plurality DAC elements do not contribute to generating an output of the DAC.
Owner:MAXLINEAR INC

Dynamic noise filter and sigma filtering method

A dynamic noise filter is disclosed, which includes a noise estimation circuit, a TNR filtering circuit, a SNR filtering circuit, a blending circuit and a motion estimation circuit. By performing noise estimation for each image, the invention dynamically adjusts the strengths of the TNR filter and the SNR filter as well as a blending ratio between the outputs of the TNR filter and the SNR filter, thereby obtaining the best image quality.
Owner:SILICON INTEGRATED SYSTEMS

Time-domain self-adaptive speech detection method based on dynamic noise estimation

The invention relates to the field of information processing technology and sensor signal processing, and particularly relates to a time-domain self-adaptive automatic speech detection method based on dynamic noise estimation. According to the invention, based on time-domain short time energy of sound and frequency-domain short time energy variation in a certain range, speech detection is carried out; and finally, the optimal result is selected according to dynamically estimated magnitude of background noise energy. The accuracy of speech recognition is greatly improved. The adaptability of speech recognition to environmental change is improved.
Owner:成都启英泰伦科技有限公司

Dynamic noise filter and sigma filtering method

A dynamic noise filter is disclosed, which includes a noise estimation circuit, a TNR filtering circuit, a SNR filtering circuit, a blending circuit and a motion estimation circuit. By performing noise estimation for each image, the invention dynamically adjusts the strengths of the TNR filter and the SNR filter as well as a blending ratio between the outputs of the TNR filter and the SNR filter, thereby obtaining the best image quality.
Owner:SILICON INTEGRATED SYSTEMS

Multi-microphone noise reduction method, apparatus and terminal device

Disclosed are a multi-microphone noise reduction method, an apparatus and a terminal device. The method includes: performing harmonic detection on a primary microphone signal to obtain frequency bin VAD flag information; controlling, according to the frequency bin VAD flag information, a Kalman filter to filter out a target speech signal from a secondary microphone signal, to obtain a secondary microphone noise signal; mapping the secondary microphone noise signal to the primary microphone signal through dynamic noise spectrum mapping, to obtain a primary microphone noise spectrum of the primary microphone signal; and calculating a noise reduction gain for the primary microphone signal according to at least the primary microphone noise spectrum of the primary microphone signal, and outputting a noise-reduced primary speech signal. The method has good robustness to location changes, various noises and application scenarios, and can be applied to both the handheld and hands-free modes.
Owner:HUAWEI TECH CO LTD

Dynamic adjustment of noise separation in data handling, particularly voice activation

InactiveUS7146314B2Improves voice signal detection abilityData detection is convenientSpeech recognitionDynamic noiseConsecutive frame
Data handling dynamically responds to changing noise power conditions to separate valid data from noise. A reference power level acts as a threshold between dynamically assumed noise and valid data, and dynamically refers to the reference power level changing adaptively with the background noise. The introduction of dynamic noise control in VOX (Voice Activated Transmission) improves a VOX device operation in a noisy environment, even when the background noise profiles are changing. Processing is on a frame by frame basis for successive frames. The threshold is adaptively changed when a comparison of frame signal power to the threshold indicates speech or the absence of speech in the compared frame repeatedly and continuously for a period of time involving plural successive frames having no valid speech or noise above the threshold to correspondingly reduce or increase the threshold by changing the threshold to a value that is a function of the input signal power.
Owner:RENESAS TECH CORP

Acoustic control method of active structure of sealed cavity

The invention discloses an acoustic control method of an active structure of a sealed cavity. The method comprises the following steps that firstly, the acoustic control problem of the structure of the sealed cavity is resolved; secondly, a local control problem solution scheme is provided; thirdly, coordination between controller bodies is carried out. According to the method, the bodies can be conveniently added or removed, and the rest of a system do not need to be redesigned, and it is indicated that a surface system has high expandability. In addition, the method has the self-governing performance, flexibility and sociality, and dynamic noise in the sealed cavity can be effectively treated. In other words, the method has the advantages of being capable of meeting intelligence, strong robustness and expandability needed by large-scale engineering application and the like.
Owner:SOUTHEAST UNIV

Voice enhancement method based on deep neural network

The invention discloses a voice enhancement method based on a deep neural network in order to overcome the shortcomings that a traditional DNN (deep neural network) voice enhancement method based on characteristic mapping is poor in noise-robustness and inaccurate in characteristic mapping, enhanced voice has spectral distortion, and the like. The voice enhancement method includes the steps: firstly, proposing and building a characteristic mapping deep neural network model (DNAT-DSAT-DNN) based on dynamic noise and voice joint sensory training, and learning the characteristic mapping relationship between a noisy voice signal and a pure voice signal to obtain the log power spectrum characteristic value of an enhanced voice signal; secondly, acquiring phase information of the enhanced voicesignal according to the geometrical relationship among the noisy voice signal, the pure voice signal and the noise signal; finally, restoring time domain expression of the enhanced voice signal by theaid of an overlap-add principle.
Owner:CHONGQING UNIV OF POSTS & TELECOMM

System and Method for Dynamic Noise Adaptation for Robust Automatic Speech Recognition

A speech processing method and arrangement are described. A dynamic noise adaptation (DNA) model characterizes a speech input reflecting effects of background noise. A null noise DNA model characterizes the speech input based on reflecting a null noise mismatch condition. A DNA interaction model performs Bayesian model selection and re-weighting of the DNA model and the null noise DNA model to realize a modified DNA model characterizing the speech input for automatic speech recognition and compensating for noise to a varying degree depending on relative probabilities of the DNA model and the null noise DNA model.
Owner:CERENCE OPERATING CO

Refrigerator dynamic noise reduction control method

The invention discloses a refrigerator dynamic noise reduction control method. According to the method, a human body infrared sensor detects whether a person exists around a refrigerator or not, and asignal is transmitted to a controller; a noise sensor collects the noise value around the refrigerator, and the signal is transmitted to a controller; the controller has three compressor parameters,three condensation fan parameters and three timer parameters, according to the environment noise level and the human body infrared signal, whether the running rotating speed of a compressor and a condensation fan is adjusted or not is analyzed, and when a user is not nearby the refrigerator, a control program analyzes and determines the running rotating speed of the compressor and the condensationfan. The human body infrared sensor is arranged to induce whether the person is nearby the refrigerator or not, through the noise sensor, the environment noise around the refrigerator is collected, through the controller, according to the signals of the human body infrared sensor and the noise sensor, running power of the compressor and the condensation fan of the refrigerator is controlled, dynamic noise reduction of the refrigerator is achieved, and the user experience is improved.
Owner:CHANGHONG MEILING CO LTD

Self-biasing circuit

ActiveCN106026975AEliminate a componentAvoid sound quality static noiseElectric pulse generatorDifferential amplifierCurrent source
The invention provides a self-biasing circuit. The self-biasing circuit comprises a biasing unit suitable for generating a bias voltage and inputting the bias voltage to a differential amplifier circuit so as to keep inputting a constant current source to the differential amplifier circuit; a copying unit circuit suitable for copying a bias current source as same as that in a tail current tube in a delay unit and generating an excitation signal which is output to the differential amplifier circuit; and the differential amplifier circuit suitable for outputting an adjustable grid voltage of the tail current tube of the delay unit based on a control voltage of an annular voltage-controlled oscillator and the excitation signal in the presence of the constant current source. Through the biasing circuit, the output swing of the delay unit is ensured to change along with the change of a control voltage, so that the current-voltage characteristic of a symmetrical load in the delay unit is kept, and elimination of the one-order component of dynamic noise is facilitated. At the same time, as the bias voltage of the tail current tube in the delay unit is adjusted continuously, adoption of a common-source and common-grid structure not only can be prevented from suppressing static noise, but the influence from finite output impedance also can be counteracted.
Owner:NO 24 RES INST OF CETC
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