窗函数对信号稀疏特性的影响 关键词：窗函数；频谱泄漏；稀疏特性；评判依据 [gap=1146]Key words：window function；spectrum leakage；sparse characteristics；criterions
基于12个网页-相关网页
The model of underdetermined blind signal separation(BSS) is put forward,and the sparsity of signals on time domain and frequency domain are stated briefly.
给出了欠定情况下的盲分离模型,从时域和频域对信号的稀疏特性做了简要的陈述。
参考来源 - 基于稀疏特性的欠定盲分离矩阵A的估计方法·2,447,543篇论文数据，部分数据来源于NoteExpress
最后，在参数空间中，应用基于信号稀疏特性的线性盲分离方法对信号进行分离。
Finally, the linear blind source separation algorithm based on signal sparse property is applied to the parameterized mixing signals.
实验结果表明，新算法在对具有稀疏特性的多维关联规则的挖掘中体现了良好的性能。
The experimental results show that this new algorithm has proven its significant performance in the sparse multidimensional association rule mining.
针对高速水声通信中信道的稀疏特性，提出了一种基于常数模准则的稀疏水声信道判决反馈盲均衡算法。
A blind equalization algorithm based on constant modulus and sparse underwater acoustic channel is presented according to the sparse characteristic of the high rate underwater acoustic communications.
应用推荐