This paper presents a new subband adaptive filter(SAF)algorithm for system identification scenario under impulsive interference,named generalized continuous mixed p-norm SAF(GCMPN-SAF)algorithm.The proposed algorithm ...This paper presents a new subband adaptive filter(SAF)algorithm for system identification scenario under impulsive interference,named generalized continuous mixed p-norm SAF(GCMPN-SAF)algorithm.The proposed algorithm uses a GCMPN cost function to combat the impul-sive interference.To further accelerate the convergence rate in the sparse and the block-sparse system identification processes,the proportionate versions of the proposed algorithm,the L0-norm GCMPN-SAF(L0-GCMPN-SAF)and the block-sparse GCMPN-SAF(BSGCMPN-SAF)algorithms are also developed.Moreover,the convergence analysis of the proposed algorithm is provided.Simulation results show that the proposed algorithms have a better performance than some other state-of-the-art algorithms in the literature with respect to the convergence rate and the tracking capability.展开更多
By using the modernly developed techniques of possibility and set-valued statistics, this paper determined the thresholds of various categories of noise annoyance and defined the dose-response relation between the lev...By using the modernly developed techniques of possibility and set-valued statistics, this paper determined the thresholds of various categories of noise annoyance and defined the dose-response relation between the levels of noise and their annoyance. Three factors controlled in the experiment were types of noise: impulse and traffic; level of noise: 5Leq from 45 - 85 dB (A); and performance task: with and without speech recognition. Noise interference with speech recognition was measured with the SDT method. Our ex-perimental results showed that Leq of impulse noise should be higher than that of traffic noise to get equal annoyance; the speech recognition task might lighten the experience of annoyance; the higher the level of noise, the more its interference with the speech recognition, that is. the less the value of d '.展开更多
文摘This paper presents a new subband adaptive filter(SAF)algorithm for system identification scenario under impulsive interference,named generalized continuous mixed p-norm SAF(GCMPN-SAF)algorithm.The proposed algorithm uses a GCMPN cost function to combat the impul-sive interference.To further accelerate the convergence rate in the sparse and the block-sparse system identification processes,the proportionate versions of the proposed algorithm,the L0-norm GCMPN-SAF(L0-GCMPN-SAF)and the block-sparse GCMPN-SAF(BSGCMPN-SAF)algorithms are also developed.Moreover,the convergence analysis of the proposed algorithm is provided.Simulation results show that the proposed algorithms have a better performance than some other state-of-the-art algorithms in the literature with respect to the convergence rate and the tracking capability.
文摘By using the modernly developed techniques of possibility and set-valued statistics, this paper determined the thresholds of various categories of noise annoyance and defined the dose-response relation between the levels of noise and their annoyance. Three factors controlled in the experiment were types of noise: impulse and traffic; level of noise: 5Leq from 45 - 85 dB (A); and performance task: with and without speech recognition. Noise interference with speech recognition was measured with the SDT method. Our ex-perimental results showed that Leq of impulse noise should be higher than that of traffic noise to get equal annoyance; the speech recognition task might lighten the experience of annoyance; the higher the level of noise, the more its interference with the speech recognition, that is. the less the value of d '.
