energy-totale

说明：  神经网络 西安电子科技大学出版社 侯媛彬 全书程序夹 CH10(Neural network)

renix文件的读取，以及一些相关的资料！(renix document read, and some relevant information!)

这个程序再matlab2012b版本上调试成功，以前在毕业设计的时候在网上找到的资料，希望对大家有用，SOM算法,matlab程序,是经典的教科书的例子程序(This program debug version then matlab2012b success in graduate design information previously found on the Internet when we want to be useful, SOM algorithm, matlab program, is a classic textbook example of program)

Adaptive filter 三种演算法RLS,LNS sign error LMS(three RLS algorithm. LNS sign error LMS)

基于稀疏表示的人脸识别，里面有9种求1范数的方法(Face recognition based on sparse representation, there are nine kinds of seeking a method of norm)

maximum likelihood identification method

To find the contrast of an image locally.

在径向基函数拟合、径向基函数神经网络和小波神经网络中的几种常用的基函数。包括高斯基函数、逆二次基函数、小波基函数等。(Several basis functions in radial basis function fitting, RBF neural network and wavelet neural networks. Including Gauss function, inverse quadratic basis functions, wavelet function and so on.)

We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.

Butterworth hih/low and band pass filters are applied to image