文件名称:system-identification
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采用时频聚集性较好的线性调频信号作为线性时不变系统输入激励，采用Gabor字典作为过完备原子库。在利用传统系统辨识法之前先利用稀疏分解算法将输出信号进行去噪处理，显著提高系统辨识精度。
具体包括互谱算法，信号的Gabor稀疏分解的详细代码-Space can be a time for sparse decomposition to solve the problem of huge memory needed。This approach, combined with the rapid decomposition of FFT for signal ,so as to achieve satisfactory results.
具体包括互谱算法，信号的Gabor稀疏分解的详细代码-Space can be a time for sparse decomposition to solve the problem of huge memory needed。This approach, combined with the rapid decomposition of FFT for signal ,so as to achieve satisfactory results.
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下载文件列表
代码\xishu.m
....\dic_a.m
....\ldnum.m
....\photos.m
....\produce.m
....\resultphoto.m
....\select_best.m
....\systemm.m
....\pandinghuitu.m
基于稀疏表示的系统辨识算法设计与仿真.doc
代码
....\dic_a.m
....\ldnum.m
....\photos.m
....\produce.m
....\resultphoto.m
....\select_best.m
....\systemm.m
....\pandinghuitu.m
基于稀疏表示的系统辨识算法设计与仿真.doc
代码