MULTICHANNEL ADAPTIVE BLIND DECONVOLUTION USING THE COMPLEX CEPSTRUM OF HIGHER-ORDER CROSS-SPECTRA

被引:11
作者
BROOKS, DH [1 ]
NIKIAS, CL [1 ]
机构
[1] UNIV SO CALIF,DEPT ECE SYST,SIPI,LOS ANGELES,CA 90089
基金
美国国家科学基金会;
关键词
D O I
10.1109/78.236514
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We describe an adaptive cross-spectral blind deconvolution method, cross-TEA, for the case where data is available from several sensors. Unlike ordinary cross-spectra, higher order cross-spectra are separable, and we use this fact to identify and deconvolve each system. We tested cross-TEA on four-channel QAM signals and compared the results to TEA, an autospectral method.
引用
收藏
页码:2928 / 2934
页数:7
相关论文
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