2015•Computer Knowledge and TechnologyRequires access

Enhancement of Voice Signal Based on Monostable Stochastic Resonance

Zhifan Liu

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Abstract

Due to the bistable stochastic resonance system has two structural parameter which is not easy to be adjusted, a method based monostable stochastic resonance which has only one structural parameter to process voice signal has been proposed. In order to achieve the optimal output and enhance the voice signal we just need to monitor the only structural parameter. The simulation indicates that the voice signal which submerged in noise has been boosted and the rate of Signal to Noise(SNR) also has been raised 4.4d B.

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What this paper is about

Due to the bistable stochastic resonance system has two structural parameter which is not easy to be adjusted, a method based monostable stochastic resonance which has only one structural parameter to process voice signal has been proposed. In order to achieve the optimal output and enhance the voice signal we just need to monitor the only structural parameter. The simulation indicates that the voice signal which submerged in noise has been boosted and the rate of Signal to Noise(SNR) also has been raised 4.4d B.

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Available abstract

Due to the bistable stochastic resonance system has two structural parameter which is not easy to be adjusted, a method based monostable stochastic resonance which has only one structural parameter to process voice signal has been proposed. In order to achieve the optimal output and enhance the voice signal we just need to monitor the only structural parameter. The simulation indicates that the voice signal which submerged in noise has been boosted and the rate of Signal to Noise(SNR) also has been raised 4.4d B.

Key concepts: Multivibrator, Stochastic resonance, Computer science, Bistability, SIGNAL (programming language), Noise (video), Process (computing), Control theory (sociology)

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