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90 results about "Nonlinear noise" patented technology

Method for establishing nonlinear noise model of GaN HEMT

The invention relates to the field of manufacturing of semiconductor integrated circuits, in particular to a method for establishing a nonlinear noise model of a GaN HEMT (high electron mobility transistor). The method is characterized by comprising the following steps: S1, establishing a nonlinear equivalent circuit model of the GaN HEMT; S2, introducing noise sources into an intrinsic area in the nonlinear equivalent circuit model of the GaN HEMT to obtain expression formulae of three noise sources; S3, under different drain-source current bias conditions, acquiring a change relationship of a channel noise coefficient in the nonlinear equivalent circuit model of the GaN HEMT along with drain-source current; S4, according to the change relationship of the channel noise coefficient along with the drain-source current, acquiring an intact expression formula of a drain noise current source along with the drain-source current, and according to the three noise sources introduced into the nonlinear equivalent circuit model of the GaN HEMT, establishing the nonlinear noise model of the GaN HEMT. The nonlinear noise model of the GaN HEMT can simulate noise characteristics of a GaN HEMT device in a nonlinear state, namely, change of noise parameters of the device along with input power, and can be used for designing a GaN HEMT low-noise power amplifier.
Owner:CHENGDU HIWAFER SEMICON CO LTD

System and method for reducing environmental noise as well as device applying system

The invention provides a system and a method for reducing environmental noise as well as a device applying the system, and is particularly applied to a stereo radio module with at least two input terminals. The method comprises the following steps: respectively receiving audio frequency including a main audio frequency part and most part of the environmental noise; executing signal calibration in the system so as to reduce the difference between the input terminals; respectively obtaining an environmental noise part with less main audio frequency and a main audio frequency part with less environmental noise by virtue of adaptive beam forming and speech extraction technologies; after frequency domain transformation, estimating the environmental noise received by the system by virtue of a nonlinear noise suppression technology; obtaining a gain; denoising by means of the gain; and finally generating the continuously output audio frequency through carrying out domain transformation again. The system and the method as well as the device applying the same have the beneficial effects of effectively suppressing the environmental noise during call, improving the intelligibility and comfortability during the audio or speech communication process, preventing the call from being affected by too much noise, ensuring instant signal calibration, and maximally reducing the noise included in the audio frequency.
Owner:C-MEDIA ELECTRONICS INC

OFDM channel estimation method based on depth feature fusion network

The invention provides an OFDM channel estimation method based on a depth feature fusion network, which comprises the following steps: S1, inserting a pilot into an original transmission signal; S2, the serial data stream of the transmission signal obtained in the step S1 is changed into a parallel data stream, and the transmission signal is OFDM modulated by the IDFT; 3, chan a transmission signal from a parallel data stream to a serial data stream; Transmitting to a receiving end via an OFDM channel; 4, aft receiving that transmission signal, the receive end changes the transmission signal from the serial data stream to the parallel data stream, and then demodulates the transmission signal by using the DFT; 5, chan a transmission signal from a parallel data stream to a serial data stream, inputting that transmission signal into a channel estimation model of a depth characteristic fusion network, and output the transmission signal fused by the channel estimation model; The invention can effectively recover the transmission signal in the OFDM channel under the condition of limited pilot frequency, CP removal and non-linear noise while ensuring the performance of channel estimation,thereby reducing the influence of data distortion and channel noise.
Owner:STATE GRID CORP OF CHINA +2

Noise suppression method based on phase continuous swept-frequency fiber laser

The invention discloses a noise suppression method based on a phase continuous swept-frequency fiber laser. The method comprises the steps: in an open-loop state, obtaining a group of control voltagesignals through a pre-distortion algorithm, and carrying out preliminary correction on the response linearity of the swept-frequency fiber laser under the drive of the control voltage signals; on thebasis, adding a phase-locked system to form a closed-loop state, a beat frequency signal with sweep frequency information generated after the sweep frequency optical signals pass through a Mach-Zehnder interference structure and a reference signal being compared by a phase discriminator, and outputting an error signal; inputting the error signal into a high-order loop filter, and driving an optical fiber laser to output an optical signal of which the frequency is modulated after the error signal is filtered and amplified; analyzing the modulated optical signal through a real-time spectrum analyzer, and verifying a phase locking result; and after the beat frequency signal and the reference signal are locked, the modulated optical signal being a swept-frequency optical signal after noise suppression. According to the method, the influence of sweep frequency noise, nonlinear noise and inherent noise of the laser on the system is effectively suppressed.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Sigma-delta modulator

InactiveCN102882528AImprove the signal-to-noise-distortion ratioImprove performanceAnalogue conversionNoise shapingAnalog signal
The invention is applicable for the field of the signal processing technology and provides a sigma-delta modulator. The sigma-delta modulator comprises a first-class modulation unit, a second-class modulation unit and a noise shaping unit, wherein the first-class modulation unit is used for transforming input analog signals into first-class digital signals; the first-class digital signals comprise quantization noise and multi-bit DAC (Digital-to-Analog Converter) nonlinear noise; the second-class modulation unit is connected with the first-class modulation unit so as to transform the quantization noise and the multi-bit DAC nonlinear noise in the first-class digital signals into second-class digital signals, and feedback the second-class digital signals to the first-class modulation unit; the noise shaping unit is connected with the first-class modulation unit and the second-class modulation unit so as to cancel the quantization noise and the multi-bit DAC nonlinear noise in the second-class digital signals and the first-class digital signals, obtain digital signals without noises and output the digital signals. The sigma-delta modulator counteracts the last-class multi-bit DAC nonlinear errors and upper-class quantization noises in a cascade structure through combining inter-stage feedback with a double quantitative structure.
Owner:SHENZHEN UNIV

Dual-differential type low noise weak magnetic signal collecting and processing device

The invention provides a dual-differential type low noise weak magnetic signal collecting and processing device which comprises a collecting device, a dual-differential device, a bias device and a setting and resetting device. The collecting device comprises a first collecting circuit and a second collecting circuit, and each collecting circuit comprises bridges which are respectively formed by a magnetic sensing resistor and a common resistor. The dual-differential device receives signals collected by the two collecting circuits and carries out differential processing on the signals. The bias device comprises a geomagnetic field measurement device and a magnetic field generating device and is used for generating a counteracting magnetic field according to the intensity of a geomagnetic field. The setting and resetting device comprises a solenoid coil and a setting and resetting power source and is used for generating a strong magnetic field. According to the dual-differential type low noise weak magnetic signal collecting and processing device, influences of the geomagnetic field are eliminated through the bias device, nonlinear noise pulse interference is eliminated through the dual-differential device, and required weak magnetic signals can be effectively measured through a sensor.
Owner:TAIYUAN UNIV OF TECH

Convolutional-fuzzy neural network method for actively controlling global spatial noise of vehicle

The invention discloses a convolutional-fuzzy neural network method for actively controlling global spatial noise of a vehicle. The method comprises the steps of arranging a plurality of secondary paths around a vehicle noise reduction area; acquiring a noise residual signal of each secondary path; adopting a convolutional-fuzzy neural network to firstly perform offline identification to obtain asecondary path model and then serve as an adaptive active noise control algorithm of the secondary path at the same time to correct controller parameters online; and finally, outputting multi-azimuthnoise cancellation signals. According to the invention, the convolutional-fuzzy neural network is used for identifying the inverse model of an object, a very effective method is provided for vehicle global space nonlinear noise identification, and the identification precision of the secondary path is improved by utilizing the nonlinear approximation capability of the convolutional-fuzzy neural network to a function; an active feedback noise elimination system is adopted, and a stable secondary path model is established; and the problems that vehicle global space noise is difficult to control and the frequency band is narrow are solved.
Owner:HUNAN UNIV OF TECH

Collaborative filtering based reliable data fusion optimization method in wireless sensor network

The invention discloses a collaborative filtering based reliable data fusion optimization method in a wireless sensor network. The method adopts a hierarchical logic structure design, and respectively optimizes the network performance from two aspects such as the sensor node data fusion reliability and the link transmission reliability. Noise filtering is carried out on burst nonlinear noise data by adopting a Laplace function rather than a Gaussian function. Under a hostile environment, in order to improve the data fusion accuracy and avoid invasion of mass malicious nodes to interfere real information, the similarity of perception data is calculated by adopting an information amount vector, and weighted averaging is carried out so as to perform data fusion; and in order to enhance the transmission reliability, a link detection model is adopted to carry out prediction on a link. When the link breaks down, the cluster head sends a PROB message to inform a neighbor node of the breakdown link or a breakdown node, the neighbor node perceives important data again so as to prevent loss of the important data. The method disclosed by the invention effectively solves problems of high node deployment density, high data redundancy, limited energy and defect of being vulnerable to attacks in the wireless sensor network.
Owner:ZHENGZHOU UNIV
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