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Fast Fourier transform filtering method

A Fourier transform and fast technology, applied in impedance networks, digital technology networks, electrical components, etc., can solve problems such as signal deviation, and achieve the effect of overcoming deviation and convenient use.

Active Publication Date: 2019-06-28
SHANGHAI JIAO TONG UNIV
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  • Application Information

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Problems solved by technology

[0003] In order to solve the problem of deviation in the filtered signal, the present invention provides a fast Fourier transform filtering method in which the filtered signal does not appear deviation

Method used

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Embodiment Construction

[0022] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0023] see figure 1 , a fast Fourier transform filtering method in an embodiment of the present invention is applied to such as figure 1 In the shown filter, the filter includes two FFT filter units with the same structure and a time-domain signal selection / synthesis module, wherein the time-domain signal to be filtered is input to the FFT filter unit, and the filtered time-domain signal is selected from the time-domain signal / Synthesis module output; two FFT filter units with the same structure are FFT filter 1 and FFT filter 2 respec...

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Abstract

The invention discloses a fast Fourier transform filtering method, which aims to solve the problem of deviation of filtered signals and comprises the following steps of: copying to-be-filtered time domain signals to obtain N to-be-blocked time domain signals; obtaining a data block time domain signal of each to-be-blocked time domain signal; and performing Fourier transform, filtering and Fourierinverse transform on each data block time domain signal to obtain an inverse transform data block time domain signal, and synthesizing the inverse transform data block time domain signal according tothe time sequence to obtain a synthetic time domain signal. The method comprises the following steps of: obtaining a plurality of data block time domain signals from a to-be-filtered time domain signal according to a staggered time block technology; then, the data block time domain signals are subjected to Fourier transform, filtering and Fourier inverse transform respectively to obtain inverse transform data block time domain signals, and finally, the synthetic time domain signals are obtained by combining the inverse transform data block time domain signals according to the time sequence ofthe to-be-filtered time domain signals, so that the problem of deviation of the filtered signals is solved.

Description

technical field [0001] The present invention relates to the field of digital signal processing, in particular, the present invention relates to a fast Fourier transform filtering method. Background technique [0002] Filters are widely used, and their common types include infinite impulse response (IIR) filters, infinite impulse response (IIR) filters, Fourier transform filters, etc. The design process of filters with infinite impulse response (IIR) and infinite impulse response (IIR) filters is more complicated, and there is no ideal filter characteristic, and the characteristics of the ideal filter can only be approached by increasing the order of the filter. The Fourier transform filter has ideal filter characteristics, but due to the so-called "energy leakage" that occurs during the Fourier transform process because the entire cycle sampling cannot be guaranteed, some deviations appear in the filtered signal. Contents of the invention [0003] In order to solve the pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03H17/02
Inventor 张执南
Owner SHANGHAI JIAO TONG UNIV
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