5results about How to "Suppress noise components" patented technology

The invention relates to the technical field of medical information extraction, in particular to an image feature selection method for a schizophrenia medical record Spark model. The method comprises the following steps: acquiring brain magnetic resonance image data and resting state functional magnetic resonance imaging data of a plurality of subjects; performing multi-scale layered segmentation on the brain image of each subject by using a preset layered brain region template for the brain magnetic resonance image data to obtain brain region positioning data including a local level, a regional level and a global level; and performing adaptive hierarchical noise reduction processing on the resting state functional magnetic resonance imaging data in a Spark distributed environment to obtain brain function time sequence data after noise reduction. According to the method, the brain magnetic resonance image data is accurately divided into a local level, a regional level and a global level by using the preset layered brain region template, so that local structure details and global network characteristics of the brain region are considered, and effective integration of multi-scale information is realized.

The invention discloses a self-adaptive damping multi-machine resonance suppression method for a large-scale off-grid optical hydrogen storage system, and the method comprises the steps: 1, sampling a bridge arm side inductive current, and subtracting the bridge arm side inductive current from a given signal to obtain an error signal; 2, performing sliding mode control on the error signal to obtain an output signal; 3, enabling the output signal to pass through a damping adjusting unit to obtain a modulation signal; 4, damping self-adaptive adjustment is carried out according to different working conditions of multi-machine parallel connection; and 5, sending the modulation signal to a space vector modulation unit, and outputting a pulse driving signal of each switching device. According to the method, the problem of multi-machine resonance of the current loop of the grid-following inverter can be solved, the dynamic response is improved while stable operation of the system is ensured, and the method has important theoretical significance and practical value.

The invention discloses an electroencephalogram signal denoising method and system combining SSA and JADE, and the method comprises the following steps: carrying out the preprocessing of an original electroencephalogram signal, extracting a signal mode of oscillation change related to artifacts, combining a preset threshold value with an extreme point of the signal mode, screening and extracting a segment only containing an electrooculogram signal, and carrying out the denoising of the electroencephalogram signal. The rest part is zeroed to serve as an input signal for blind source separation; the method comprises the following steps: decomposing a single-channel electroencephalogram signal into a plurality of components, constructing a trajectory matrix and performing SSA, preliminarily separating main components and noise components of the signal, and further processing the components obtained by singular spectrum analysis and decomposition by using a JADE algorithm; separating a signal and noise by using high-order statistics, processing a source signal of an artifact related source, and suppressing a noise component; and performing inverse JADE on the processed source signal matrix and the mixed matrix, and re-synthesizing the de-noised single-channel electroencephalogram signal. Compared with the prior art, under the condition that the noise level is high, noise and useful signals can still be effectively distinguished, and therefore the signal processing effect is remarkably improved.

The invention provides an audio decoding method and device, an audio coding method and device, electronic equipment and a storage medium, which can be applied to a vehicle-mounted scene. The audio decoding method comprises the steps that a code stream is obtained, and the code stream is obtained by encoding an audio signal; decoding the code stream to obtain a predicted value of a feature vector of the audio signal; label extraction processing is conducted on the predicted value of the feature vector, a label information vector used for signal enhancement is obtained, and the dimension of the label information vector is the same as that of the predicted value of the feature vector; performing signal reconstruction based on the predicted value of the feature vector and the label information vector; and taking a predicted value of the audio signal obtained through signal reconstruction as a decoding result of the code stream. According to the invention, the acoustic interference in the audio signal can be effectively suppressed, and the quality of the audio signal obtained through reconstruction is improved.

The purpose of this invention is to suppress the generation of noise components in audio signals. A transmitter is provided for transmitting a synthesized modulated signal obtained by analog modulation of a synthesized signal composed of a carrier modulated signal and an audio signal. The carrier modulated signal is generated based on a serial data signal storing predetermined information and a carrier signal. The audio signal is generated based on a sound wave from a sound source. The transmitter includes: a storage unit storing the predetermined information; and a control unit generating a serial data signal, the serial data signal including a preamble consisting of alternating specific bits and non-specific bits, wherein the width of the non-specific bits is a reference bit width, and the width of the specific bits is MN times the reference bit width (M and N are any integers from 1 to 9).