md5_matlab

OFDM系统仿真程序和论文，包括系统的构造，及各部分的仿真(OFDM system simulation program and papers, including the system' s structure, and the part of the simulation)

生成多点地震动，多点激励，地震动的空间变异性。(spatial variation of earthquake ground motion，non-uniform excitation。)

能够从磁盘中读入指定格式的视频图片； 比如bmp,jpg,png,gif(This method can load the inmage which given format from disk .)

无约束最优化~龚纯精通matlab最优化计算(unrestraint optimize)

MATLAB中S函数编写通俗易懂,初学者适合学习。(very simple for fish，valuable sfunction)

Substation panel electrical parameters comptation

采用了小波去噪的思想，课程设计时编写的matlab程序代码，基于分段非线性权重值的Pso算法，搭建OFDM通信系统的框架，进行逐步线性回归，进行波形数据分析,最大似然（ML）准则和最大后验概率（MAP）准则，采用偏最小二乘法。( Using wavelet denoising thought, Course designed to prepare the matlab program code, Based on piecewise nonlinear weight value Pso algorithm, Build a framework OFDM communication system, Stepwise linear regression, Waveform data analysis, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Partial least squares method.)

online identification using neural network

The main idea behind this book, and the incentive for writing it, is that strong connections exist between adaptive filtering and signal analysis, to the extent that it is not realistic—at least from an engineering point of view—to separate them. In order to understand adaptive filters well enough to design them properly and apply them successfully, a certain amount of knowledge of the analysis of the signals involved is indispensable. Conversely, several major analysis techniques become really efficient and useful in products only when they are designed and implemented in an adaptive fashion. This book is dedicated to the intricate relationships between these two areas. Moreover, this approach can lead to new ideas and new techniques in either field.

说明：  神经网络进行产量的Matlab源代码 BP 神经网络用于预测 (Neural network output of Matlab source code for BP neural network to predict)