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241results about How to "Effective noise reduction" patented technology

Noise-reducing arrangement and method for signal processing

A communication system uses analog and digital circuits along the same data path in a manner that permits the analog circuitry to avoid adverse affects caused by the digital circuitry. Consistent with one embodiment directed to a signal processing system that detects faint incoming signals, the analog and digital circuits are implemented on a single piece of silicon. In such signal processing systems, noise generated by digital processing blocks can degrade the performance of sensitive analog portions. The effective noise is reduced by causing the analog and digital portions of the system to function during separate time intervals. The noise-generating portions of the system may then be turned off during a first data-communication interval while the analog block operates. The data acquired during this period is stored for subsequent processing by the digital portion during a second shorter data-communication interval. Other aspects are applicable to reception arrangements in which part of the incoming signal may be disregarded without significant degradation in performance of the rest of the system, and other aspects are directed to transmission arrangements in which the inverse of the above reception arrangement is used.
Owner:THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIV

Environment-friendly processing equipment for straw

The invention discloses environment-friendly processing equipment for straw. The equipment comprises a crushing bin, crushing knives, a discharging hopper, a conveying belt, a packaging box and a base; the crushing bin is fixed above the base through a rack; a feeding hopper is arranged on the right side of the top of the crushing bin; a magnetic ring is arranged on the feeding hopper; a group of feeding rollers are further arranged inside the feeding hopper; the top of the crushing bin communicates with a dust suction pipe; the dust suction pipe is connected with a dust collector; two rotating shafts are arranged inside the crushing bin and are connected with motors; knife rests are arranged on the rotating shafts; the crushing knives are arranged on the knife rests; a screen is arranged at the bottom of the crushing bin and is in driving connection with a vibration motor; the discharging hopper is arranged below the screen; a valve is arranged below the discharging hopper; the conveying belt is arranged below the discharging hopper and is fixed above the base through a supporting frame; the right end of the conveying belt directly faces the left end of a downward pressing plate of the packaging box; and the lower side of the downward pressing plate is connected with a gas cylinder. The equipment is simple in structure, good in stability, convenient to maintain, good in packaging effect and high in working efficiency.
Owner:GUANGXI UNIV

Beta algorithm-based multiscale SAR (Synthetic Aperture Radar) image denoising method

The invention discloses a Beta algorithm-based multiscale SAR (Synthetic Aperture Radar) image denoising method, mainly solving the problem that the conventional dictionary learning method is not applicable to SAR image denoising. The Beta algorithm-based multiscale SAR image denoising method comprises the steps of: carrying out pixel classifying on a to-be-denoised SAR image to obtain an edge image A, a texture image B and a homogenous image C; carrying out overlap block extraction and centralization on the images to obtain respective training sample sets; initializing a dictionary into a DCT (Discrete Cosine Transform) dictionary; carrying out sparse coding by using the dictionary to obtain a sparse coefficient matrix; updating kth line of the dictionary by using the sparse coefficient matrix; and repeating the sparse coding step and the dictionary updating step for K times to obtain a final dictionary and a final sparse coefficient matrix, and multiplying to obtain a denoised edge image A', a denoised texture image B' and a denoised homogenous image C', and further obtaining a denoised SAR image of I'=A'+B'+C'. The Beta algorithm-based multiscale SAR image denoising method has the advantages that the noise in the SAR image is effectively removed and texture and edge information of the image can be remained, and the method can be used in SAR image target recognition.
Owner:XIDIAN UNIV

Underwater acoustic signal noise reduction method based on generative adversarial network

The invention provides an underwater acoustic signal noise reduction method based on a generative adversarial network. The method comprises a training stage and a testing stage. The training stage comprises the following steps: inputting a noisy signal training set into a generator to obtain a generator generation signal; splicing the generator generation signal and a target signal without noise with a noisy signal respectively, and then inputting the signals into a decision device in sequence; allowing the decision device to take the noisy signal as condition information and performs true andfalse discrimination on another input signal which is input at the same time; and calculating an error between a judgment result and a real label, then updating and optimizing network parameters of the generative adversarial network by utilizing a back propagation algorithm, and obtaining a trained generator model; the testing stage comprises the following steps: inputting a to-be-tested underwater acoustic signal into the trained generator model, and taking the output of the trained generator model as a denoised underwater acoustic signal. The method is suitable for various types of signals,and has a good noise reduction effect on common underwater acoustic communication signals such as MFSK, MPSK, OFDM, LFM and DSSS.
Owner:PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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