Geometrical characteristic filtering method for time-frequency aliasing signal

A technique for geometric features, aliasing signals

Inactive Publication Date: 2006-12-13
SOUTHEAST UNIV
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Problems solved by technology

However, these methods are not simple enough in terms of conceptual understanding or engineering implementation, especially not convenient for ordinary engineers and technicians to avoid debugging "fool" applications and design or hardware implementation using integrated circuits (ICs).

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  • Geometrical characteristic filtering method for time-frequency aliasing signal
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  • Geometrical characteristic filtering method for time-frequency aliasing signal

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[0036]The geometric feature filtering method of the time-frequency aliasing signal of the present invention utilizes the artificial neural network as a nonlinear filter, which saves the usual design and optimization process for the filter frequency characteristics, and only needs to carry out the weight coefficient of the artificial neural network Training, there is no limit to the training method, you can continue to use the BP algorithm that has become a general method, and the artificial neural network itself after the training is the designed geometric feature filter, so as to realize the time-frequency aliasing signal based on geometric features filtering. The design reference signal used to train the weight coefficients of the artificial neural network is usually called the mentor signal, which is the waveform sample of the ideal signal expected to be output by the filter; making the filter meet the required design standards is to make the filter practical The difference...

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Abstract

The invention discloses a geometrical feature filter method of time-frequency composite overlapping signal, which is characterized by the following: utilizing artificial nerve network as non-linear filter; exercising the weight coefficient of artificial nerve network; limiting the exercising method through general BP algorism; regarding signal time-region waveshape as geometrical image or curve to realize non-linear filter for artificial network.

Description

technical field [0001] The invention relates to a method for performing nonlinear filtering on signals with aliasing of time waveform and frequency spectrum components, and belongs to the technical field of electronic and communication engineering and signal processing. Background technique [0002] Filtering out or overcoming the effects of various noises and interferences has always challenged the level of human knowledge and technological development. If the useful signal can be distinguished from the harmful interference or noise in the frequency spectrum, the classical filtering technology can effectively filter out the unwanted spectral components in the frequency domain. However, if the useful signal and harmful interference or noise have aliasing in time waveform and spectral components, then the linear filters used in electronic systems and engineering at present, whether they are analog filters or digital filters, or finite impulse Whether it is a filter with an i...

Claims

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Application Information

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IPC IPC(8): H03H17/02G06N3/02
Inventor 吴乐南吕久旭张士凯朱仁祥
Owner SOUTHEAST UNIV
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