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The esiest way to learn the backpropagation algorithm and theory.

基于小波变换的分开—合并图像分割matlab．采用多尺度小波变换系数作为四分树结构的分开一合并法图像分割的一致性度量 从而在大的图像块中。。去除噪声的影响，在小的图像块中，以小波变换的局部极大值精确定位边缘，根据边缘信息进行分开一合并法图像分割 ．实验表明．算法得到满意的结果 ． (Separately based on wavelet transform- merge image segmentation Matlab. Multi-scale wavelet transform coefficients as the quadtree structure separate consolidation method of image segmentation consistency measure large image block. . To remove the effects of noise, in small image blocks, the local maxima of the wavelet transform precise positioning edge, to separate a combined method for image segmentation according to the edge information. Experiments show. Algorithm to obtain satisfactory results.)

基于MATLAB的小波变换，源码很有用,可以直接运行(using VC++ Wavelet image enhancement)

Alamouti code, 2*1 MIMO, 2 transmitter 1 reciever, use MRC techniques.(Alamouti code, 2* 1 MIMO, 2 transmitter 1 reciever, use MRC techniques.)

PN Codes Correlation Properties

matlab发声程序 matlab sound函数应用(matlab sound function)

Simulink 仿真环境基础学习的教程文档。对于初学者来说是很好的入门。(Simulink simulation environment based learning tutorial document. For beginners it is a good entry.)

matlab代码 迭代法求解非线性方程 用不动点迭代法求非线性方程组的一个根(matlab code iterative method for solving nonlinear equations using fixed point iteration method for solving nonlinear equations of a root)

matlab平台ICA独立成分分析源代码。用法：[icasig,W] = Fasticadef(x) 输入量：x 输出量：icasig（独立成分），W（分离矩阵）(matlab platform independent component analysis ICA source code. Usage: [icasig, W] = Fasticadef (x) input: x output: icasig (independent component), W (separation matrix))

说明：  BAM是一种两层的异联想，内容可寻址存储器组成的反馈网络。 分类：离散，连续 和自适应BAM等。 1987年和1988年由Kosko提出的BAM型。 网络运行是双向的。对网络的一端输入信号，则可在另一端得到输出，该输出又反馈回来，经过多次反复，直到网络达到稳态为止(BAM is a two-tier Heteroassociation, content addressable memory component of the feedback network. Classification : discrete, continuous and adaptive BAM other. In 1987 and 1988 by the BAM Kosko type. The operation of the network is a two-way. The network side input signal can be received at the other end output, the output feedback to come back again, repeatedly, until the network reached so far Steady)