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  • In Jour Smart Sensing And Intelligent Systems

 

Research paper

PERCEPTUAL HASHING ALGORITHM FOR SPEECH CONTENT IDENTIFICATION BASED ON SPECTRUM ENTROPY IN COMPRESSED DOMAIN

This paper proposes a new perceptual hashing algorithm for speech content identification with compressed domain based on MDCT (Modified Discrete Cosine Transform) Spectrum Entropy. It aims primarily to solve problems of large computational complexity and poor real-time performance that appear when applying traditional identification methods to the compressed speeches. The process begins by extracting the MDCT coefficients, which are the intermediately decoded results of compressed speeches in

Zhang Qiu-yu, Liu Yang-wei, Huang Yi-bo, Xing Peng-fei, Yang Zhong-ping

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 283–300

Article

CREDIBILITY EVALUATION FOR BLIND PROCESSING RESULTS OF BPSK SIGNALS BY USING PHASE SPECTRAL ENTROPY

A credibility test method based on the features of frequency domain entropy of a phase is proposed to evaluate the blind processing results of a BPSK signal. Initially, a reference signal was constructed depending on the certain identified modulation results. By analyzing the differences of the phase of the correlation series between the observed signal and the reference signal, a reliability test problem for the BPSK signal is performed by calculating the phase spectrum entropy and comparing

Wang Shuwang, Hu Guobing

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1900–1917

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