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4 results about "Filter impulse response" patented technology

Method for non-integer multiple sampling rate conversion based on digital matched filter

ActiveCN117134743BCommunications systemDigital filter design
This invention discloses a method for non-integer multiple sampling rate transformation based on a digital matched filter. The method includes the following steps: calculating the phase adjustment value related to the non-integer multiple sampling rate transformation based on the input-output sampling frequency relationship; determining the phase adjustment accuracy based on the input-output sampling frequency relationship; designing a digital filter based on the phase adjustment accuracy to obtain the digital matched filter impulse response value; and using the phase adjustment value as an index of the digital matched filter impulse response value to perform matched filtering calculations, thereby realizing the non-integer multiple sampling rate transformation. This invention significantly reduces the complexity of digital filter design, saves development time and costs, and offers high flexibility and effectiveness for systems requiring fractional multiple transformation and matched filters in communication systems.
Owner:NANJING UNIV OF SCI & TECH

Arbitrary rate conversion method and device

The embodiment of the invention relates to the technical field of communication signal processing, in particular to an arbitrary rate conversion method and device. A specific embodiment of the method comprises the following steps: carrying out transformation processing on a pre-acquired interpolation filter impulse response function to obtain a filter transformation function; determining a target function based on the filter transformation function and a preset ideal frequency domain filter function; performing transformation processing on the ideal frequency domain filter function based on the to-be-solved coefficient matrix and the product matrix to obtain an ideal linear equation; adjusting a target filter based on the target function and the ideal linear equation; and inputting a pre-acquired original signal into the adjusted target filter to obtain a target rate conversion signal. According to the implementation mode, real-time arbitrary rate conversion of the FPGA can be realized.
Owner:Chinese People's Liberation Army Cyberspace Force Information Engineering University

Techniques for identifying gestures using time-series analog signals, and circuits implementing the techniques

An example apparatus for processing biopotential signals includes a plurality of analog correlators, each analog correlator configured to receive time-series analog signals from an electrode of a biopotential-acquisition device and correlate the time-series analog signals with a respective filter impulse response to identify a respective degree of correlation. The example apparatus also includes a plurality of comparators, each comparator coupled to a respective analog correlator and configured to detect peaks in the respective degree of correlation.
Owner:META PLATFORMS TECHNOLOGIES LLC

Industrial image denoising method and system based on cardinal number type polishing spline wavelet

PendingCN121961911AImplement multi-scale sparse representationImage enhancementImage manipulationFilter impulse response
The invention discloses an industrial image denoising method and system based on cardinal number type polishing spline wavelets, and relates to the technical field of image processing. The method comprises the steps that a cubic cardinal number type polishing spline function serves as a scaling function, a cardinal number type polishing spline wavelet function with an explicit analytical expression is constructed, a dual-scale equation is established, and coefficients are derived. And carrying out frequency domain processing on the coefficient, and obtaining a reconstructed filter impulse response coefficient according to a complete reconstruction condition, namely, a dual wavelet dual-scale coefficient. A target industrial image is used as initial data, layer wavelet decomposition and nonlinear adaptive threshold processing are carried out through a reconstruction filter and a Mallat dual-channel filter bank to obtain approximation and detail information, then the image is reconstructed through Mallat inverse transformation, and denoising and detail protection are achieved.
Owner:ZHEJIANG UNIV OF SCI & TECH