Novel

3－1 型sigmoid网络的matlab原程序，可以直接运行(3-1 type sigmoid network matlab original procedures, can be directly run)

用matlab编写的十进制的遗传算法程序，用来实现实数编码遗传算法。()

说明：  生存分析，学习总结资料和SAS实验.ppt(Survival analysis, study summarizes experimental data and SAS. Ppt)

un model forte foarte completed model of the regular pilot comand section

a fuzzy washing machine controller which control the machine using the amount of being dirty and the volume!

Outage probability is a crude measure of performance. It is defined as the probability when mutual information is less than the given threshold. The importance of outage probability is that when outage occurs, there is more likely to have decoding failure. In other words, it is a typical error. In fading channels, the received signal has no constant power which be depending on the channel, can be described by probability models. Thus, signal to noise ratio will also becomes a random variable. and Thus the maximum capacity of the channel becomes a random variable. Outage probability says according to the variable signal to noise ratio at the received end, what is the probability that a rate is not supported due to variable signal to noise raito.

Sparse in Time Program Compressive Sensing

本书较详细地论述了信号的线性检测、假设检验理论、已知信号的检测，随机信号的检测、色高斯噪声中信号的检测、序列检测、恒虚警处理、非参量检测以及在线性处理时信号参量的估计和信号参量估计的一般理论等。(This book discusses in detail the signal linear detection, hypothesis testing theory, known signal detection, random signal detection, color gaussian noise of signal detection, sequence detection, constant false alarm processing, non parameter detection and the linear processing signal parameter estimation and signal parameter estimation of the general theory, etc.)

本教程提供了使用MATLAB的实践性指导，它基于MATLAB6.0版，内容由浅入深，特别是本书对每一条命令的使用格式都作了详细而又简单明了的全英文说明(This tutorial provides a practical guide to using MATLAB, which is based MATLAB6.0 version of the content digest, especially for the book using the format of each command are detailed yet simple and clear instructions in English)

Its a document which describes about the methods of feature extraction