Bar_Plot_3D

纵横向拉开档次法的MATLAB实现，对于动态评价方法的编程实现(Vertical and horizontal method of MATLAB implementation, evaluation method for dynamic programming)

本程序给出了两种通信调制方式的matlab代码，可以提供给大家参考(This procedure gives the two communication modulation of matlab code that can be provided for your reference)

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)

PSO和GA的结合算法，对PSO中效果较差的粒子进行交叉和变异操作。(The combination of PSO and GA algorithm, PSO particles in the less effective cross and mutation.)

matlab source code from mathworks

说明：  思源科技出版 matlab基础与提高 4-6章 源代码(Springsoft matlab based publishing the source code and improve the chapter 4-6)

Block Matching Algorithm Motion Estimation Three step search and some method

说明：  利用经典BP网络逼近一个多输入多输出的函数(The classical BP network to approach a multi-input multi-output function)

针对光伏电池电路直流部分的MPPT算法所设计的PWM脉宽调制模型。(MPPT algorithm for the DC portion of the photovoltaic cell circuit design of the PWM pulse width modulation model.)

张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。(Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.)