[1]王 杰,王友国,翟其清.语音信号传输过程中的阈上随机共振现象[J].计算机技术与发展,2021,31(02):155-160.[doi:10. 3969 / j. issn. 1673-629X. 2021. 02. 029]
　WANG Jie,WANG You-guo,ZHAI Qi-qing.Suprathreshold Stochastic Resonance in Speech Signal Transmission[J].,2021,31(02):155-160.[doi:10. 3969 / j. issn. 1673-629X. 2021. 02. 029]
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语音信号传输过程中的阈上随机共振现象()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年02期
页码:
155-160
栏目:
应用前沿与综合
出版日期:
2021-02-10

文章信息/Info

Title:
Suprathreshold Stochastic Resonance in Speech Signal Transmission
文章编号:
1673-629X(2021)02-0155-06
作者:
王 杰; 王友国; 翟其清
南京邮电大学 理学院,江苏 南京 210046
Author(s):
WANG Jie; WANG You-guo; ZHAI Qi-qing
School of Science,Nanjing University of Posts and Telecommunications,Nanjing 210046,China
关键词:
阈上随机共振; 语音传输; 相关系数; 拉普拉斯信号; 多阈值系统
Keywords:
suprathreshold stochastic resonance; speech signal transmission; correlation coefficient; Laplace signals; multithreshold system
分类号:
TP391
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 02. 029
摘要:
对利用阈上随机共振现象来改善语音信号的传输进行了研究。 在理论上,选取输入输出互相关系数作为测度,用拉普拉斯信号模拟语音信号,研究了拉普拉斯信号在多阈值系统中受到加性高斯噪声和乘性高斯噪声作用下的阈上随机共振现象。 在实际应用中,同样选取输入输出互相关系数作为测度, 用真实的语音信号作为输入信号, 在受到加性高斯噪声和乘性高斯噪声共同作用下的多阈值系统中进行仿真。 理论研究结果表明,在受加性噪声和乘性噪声共同作用情况下的多阈值系统中,当噪声强度在一定范围内变化时,该系统中出现了阈上随机共振现象。 仿真结果表明,语音信号在上述系统中传输时,也发生了阈上随机共振现象,即验证了利用阈上随机共振可以改善语音信号的传输。
Abstract:
The use of suprathreshold stochastic resonance to improve speech signals transmission is studied. In theory,the suprathreshold stochastic resonance phenomenon of Laplace signals under the action of additive Gaussian noise and multiplicative Gaussian noise in multithreshold system is studied by using Laplace signals to simulate speech signals by taking the correlation coefficient of input and output as a measure. In practical application,the input-output correlation coefficient is also selected as the measure,and the real speech signals areused as the input signal to simulate in a multithreshold system under the combined action of additive Gaussian noise and multiplicative Gaussian noise. The theoretical results show that suprathreshold stochastic resonance occurs when the noise intensity changes within acertain range in a multithreshold system under the combined action of additive and multiplicative noises. The simulation results show that suprathreshold stochastic resonance also occurs when the speech signals are transmitted in the above system,that is,it is verified that su鄄prathreshold stochastic resonance can improve the transmission of speech signals.

相似文献/References:

[1]王友国 刘沁雨.多阈值系统中高斯混合噪声改善信息的传输[J].计算机技术与发展,2011,(04):120.
　WANG You-guo,LIU Qin-yu.Gaussian Mixture Noise to Improve Information Transmission in Multi-threshold System[J].,2011,(02):120.
[2]王友国,郑克,陆望.一类非线性网络系统中噪声改善信号的相关性[J].计算机技术与发展,2014,24(05):95.
　WANG You-guo,ZHENG Ke,LU Wang.Noise-improved Signal Correlation in a Nonlinear Network System[J].,2014,24(02):95.
[3]王友国,姜梦琦,翟其清. 多阈值神经网络系统中的随机共振研究[J].计算机技术与发展,2015,25(12):32.
　ANG You-guo,JIANG Meng-qi,ZHAI Qi-qing. Research on Stochastic Resonance in Multi-threshold Neural Network System[J].,2015,25(02):32.

更新日期/Last Update: 2020-02-10