PCA-matlab

这个文档包含了正弦调频信号的波恩约翰分布和赵-阿特拉斯-马克思分布(This document contains a sinusoidal FM signal Boenyuehan distribution and Zhao- Atlas- Marx Distribution)

一维无序随机信号的小树变换处理，小树变换即treelet，是一种有效的高维的，无序的，杂乱的数据进行降维，特征提取的方法(One-dimensional disorder random signal processing, the saplings transform treelet tree transform namely, is a kind of effective high-dimension, disorder, messy data dimension reduction, feature extraction method)

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.)

802.11的OFDM系统方针程序，比较全面详细。(802.11 OFDM systems approach procedures, more comprehensive details.)

orthogonal frequency division multiplexing using wireless networks

matlab stk链接函数库。介绍了链接的各种函数以及其用法(The connextion functions of matlab and stk. It include all the functions that can be used in development of stk with matlab。)

peec电路电感和互感计算的解析公式，精确解，适用于peec等效电路，分布式电网络(Peec circuit inductance and mutual inductance calculation of analytical formulas, the exact solution, apply to the peec equivalent circuit, a distributed electric network )

采用小波对信号分解和去噪。分解层数和使用的小波可以自己定义然后阈值去噪(Wavelet is used to decompose and denoise signals. The decomposition level and the use of wavelet can be defined by itself and then threshold denoising)

涵盖了完整的SVM程序代码，唯一缺憾没有代码解释，分享了。。。(SVM covering the complete code, the only shortcoming is no code interpreter, shared. . .)

An Adaptive Bimodal Recognition Framework using Sparse Coding for Face and Ear