recognition-matlab-moving-objects

利用窗函数法实现FIR滤波器的设计，包括各种常见的窗口函数 (Window function method using FIR filter design, including a variety of common window function)

matlab书籍类的创建一章，有理多项式对象类型的构造、显示、运算符和函数重载等一些列程序代码(matlab class to create a chapter book, the construction of rational polynomial object type, display, operator and function overloading and some out code)

Arnold变化~~~matlab 含逆变换及周期计算(Arnold)

提供HSMM隐半马尔科夫的前向后向算法。可用于模式识别(Hidden semi-Markov providing HSMM back to the first algorithm. Can be used for pattern recognition )

matlab 仿真最大比合并分集与选择式合并分集接收性能比较(matlab simulation maximal ratio combining diversity with selective combining diversity receiver performance comparison)

说明：  运用自回归算法，对数据进行预测，附带案例。(The data are predicted by using autoregressive algorithm.)

这是本人下载和编译过的关于大津法二值化的matlab代码，效果比较好，可以作为分割的有效辅助(This is, I downloaded and compiled on the Otsu binarization method of matlab code, the effect is better, can be used as an effective auxiliary partition)

有限元差分解偏微分方程的函数,能设置初值，边界值(Difference solution of partial differential equations finite element function can set the initial value, boundary value)

基于GA-PSO算法，包含程序和数据，还有word说明！！！(Based on the GA-PSO algorithm for prediction! ! !)

本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。 (This book is one of MATLAB application technology Series on the latest MATLAB Wavelet toolbox in Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multi-resolution analysis and orthogonal wavelet transform, wavelet transform and multi-sampling filter banks, two dimensional wavelet transform and image processing and the basic principle of wavelet packet etc part 2 highlights in detail using wavelet analysis toolbox, including a graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform MATLAB implementation of wavelet packet transform MATLAB realize, signal and image noise reduction and compression, as well as to enhance the latest signal and image of the wavelet transform and other content part 3 introduces the application of bas)