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压缩感知中有名的SLEP算法，用来对数据进行稀疏表达的。(SLEP in the compressed sensing algorithm is known, for the expression of the data sparse.)

face detector face detector face detector

MATLAB6_0基础及应用 _ 清源计算机工作室编著_ - [出版地不详]_ 机构_0(the basic knowledge of matlab6.0)

主要功能是对数据进行自相关处理，然后通过带通滤波后进行解调，得到数据的主要特征。(The main function is to carry on the data correlation processing, and then through the band-pass filter after demodulation, get the main features of the data.)

此函数中详细介绍了如何现代功率谱估计法中的AR模型来妒忌信号的功率谱；(This function is described in detail how modern power spectrum estimation of AR model to envy the power spectrum of the signal )

创建一个CIFAR10DATA需要用到的一个matlab基础函数，可能系统版本中没有需要自行编写。(CREAT a CIFAR10DATA set,it may not excise in u matlab,need edit by youself.)

说明：  一个双向LSTM程序 Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型，可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出，并在近期被Alex Graves进行了改良和推广。在很多问题，LSTM 都取得相当巨大的成功，并得到了广泛的使用。 LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为，而非需要付出很大代价才能获得的能力！ 所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中，这个重复的模块只有一个非常简单的结构，例如一个 tanh 层。(A bidirectional LSTM program Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used. LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost! All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)

说明：  非瑞利混响和杂波信号的产生及其统计特性的仿真程序(Simulation of non-Rayleigh reverberation and clutter)

Chapter 1 - Dieletric Sullivan

Simulink interface blocks with serial