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ast Algorithm estimating the number of sinusoids in a white Gaussian noise. This algorithm use a sub-space method based on chi-square statistics of eigen values of the Autocorrelation Matrix.

matlab中的symerr函数可以求得误码率 只要看下文件中最后那个例子，这个函数你就会用了(matlab in symerr function as long as the error rate can be obtained see next document in this last example, this function you will use the)

Iterative algorithm for minimum cross entropy thresholding

说明：  ARMA模型的构建、预测、示例数据及详细讲解(ARMA modeling forecasting data)

matlab文件，适用于matlaB初学者，有关模糊控制的程序(failed to translate)

基于matlab实现语音信号的采集和处理，包括频谱分析，显示实时A声级(Based on matlab realize the voice signal acquisition and processing, including spectral analysis, display real-time A sound level)

基于遗传算法的TSP算法的Matlab程序实现(Matlab program TSP algorithm based on genetic algorithm to achieve)

通过小波矩提取车牌的特征，绝对可以运行，写了很久啊(License plate by extracting the characteristics of wavelet moment, absolutely can run and write for a long time ah)

光纤耦合器中光孤子传输的仿真研究，计算物理实习，很不错的。（转）(Fiber Coupler Simulation of optical soliton transmission, computational physics internships, very good. (Rpm))

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)