Software component for processing digital signals IFFT-NOISE GATE

Виктория Викторовна Шведова, Евгений Владимирович Семенов

Abstract


The paper deals with the issue of digital signal processing, aimed at their filtration from noise terms. The analysis of modern solutions, namely conventional filtration using FIR (finite-impulse response) and IIR (infinite-impulse response) filters, has shown their incapability for signal processing, as they exert great influence on a signal, thus distorting its AFR (amplitude-frequency response) and PFR (phase- frequency response), that leads to some problems and audio and video signal quality loss. Therefore, the paper gives the algorithm for digital filtration of various wanted signals from noise terms based on direct and indirect FFT-conversion. The specific feature of the algorithm lies in using a filtration adaptive threshold, its multiplying by frequency characteristics of initial signal allows receiving purified output signal. The choice of filtration threshold is based on priori properties of input signal. Software component for processing digital signals “iFFT-Noise Gate” has been developed based on the proposed method; the results of noise filtration modeling and comparative analysis of noise suppression properties of the new algorithm and the known analogues with respect to the most significant parameters THD, SINAD, SNR have been given. Thus, the algorithm allows obtaining a suppression ratio not worse than known analogues within the frequency range of 10-22050 Hz; does not change the initial signal phase, and virtually does not bring any sinusoidal distortions into a signal

Keywords


noise suppression; filtration; digital signal processing; range; algorithm; software

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ISSN (print) 1729-3774, ISSN (on-line) 1729-4061