particle-optimum

数字信号处理(matlab版)随书源代码，作者维纳K英格尔，柳树堂译，本书提供大量的数字信号处理matlab程序，讲解数字信号处理知识，使得学习很容易上手(Digital signal processing (matlab version) source code with the book, the author Wiener K Ingle, Liushu Tang translation, the book provides a large number of digital signal processing matlab program, explain the knowledge of digital signal processing, makes learning very easy to use)

matlab实例教程，很多经典的程序实例及代码。(matlab tutorial examples, many of the classic examples of procedures and code.)

Stud. Appl. Math. 118, 153-197 (2007)关于solitons的一篇文章，位图figure5的编程(Stud. Appl. Math. 118, 153-197 (2007) on the solitons in an article, bitmap figure5 Programming)

在matlab与SystemGenerator的平台下实现零阶时延数字正切锁相环。此模块最终能达到与输入信号同频率。(In the matlab, and SystemGenerator the platform, zero-order delay tangent digital phase-locked loop. This module is ultimately to reach input signal with the same frequency.)

基于MATLAB软件的有关雷达杂波的的很多个程序，相信对初学入门者很有帮助 (Based on MATLAB software on the radar clutter of many programs, I believe that is helpful for beginners beginners)

用来生成LDPC的H矩阵，并采用BP译码，很不错的程序(Used to generate the LDPC H-matrix, and the use of BP decoding, very good program)

please give matlab coding

空气质量降维B-P神经网络评价法及其MATLAB实现 简介: 用主成分分析将多维空间的样本数据降维到低维空间，将其作为BP网络的输入。BP网络的算法采用LM优化法。描述了该网络的MATLAB程序语言实现过程。(Air quality dimension reduction BP neural network uation method on MATLAB Introduction: Using principal component analysis will drop the sample data in multidimensional space dimension to low-dimensional space, as the input of BP network. BP network algorithm using LM optimization method. The network describes the MATLAB programming language implementation process.)

最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)

模糊步长LMS算法及其性能分析，希望有帮助(Fuzzy step-size LMS algorithm and its performance analysis)