A De-noising Method for Non-stationary Signal
The paper proposed a de-noising method for nonstationary signals received by a small-size antenna array. By taking into consideration of the correlation of signals received by antennae which compose the antenna array, we could improve greatly the discovery probability of signal coefficients in time-frequency domain through taking advantage of the method of integration for signal detection. Meanwhile, under the assumption of Gaussian noise environment, the probability density functions of noise and signal after integration were also presented. In order to extract the coefficients for signal and reduce the Type I error further, an algorithm based False Discovery Rate (FDR) was put forward. Finally, a comparison between the detection performances before and after integration was made: under same rate of Type I error, the detection performance of signal after integration is improved significantly. And the effectiveness of the method was showed by experimental results as well.
de-nosing multiple hypothesis wavelet packet detection integration Type I error non-stationary
Yanhai Shang
Telecommunication College, Hangzhou Dianzi University, Hangzhou, China
国际会议
大连
英文
309-312
2011-10-19（万方平台首次上网日期，不代表论文的发表时间）