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MATLAB例子，执行与Integra系列热电偶扫描( Matlab Example to Perform a Thermocouple Scan with Integra Series )

贪婪算法，用于优化调度，本算法为通用性算法 可以进行细微修改即可用于自己的编程使用(Greedy Algorithm (GA) is used for the uation of the same case presented for the Branch and Bound method in Section 5.2. Particular heuristic criteria are created to choose the new solution point for each step of the algorithm.)

毕设内容，高光谱图像基本处理，匹配追踪和正交匹配追踪，采用偏最小二乘法。( Complete set content, basic hyperspectral image processing, Matching Pursuit and orthogonal matching pursuit, Partial least squares method.)

使用matlab语言实现的时域有限差分算法(finite differentiate time domain)

相参脉冲串复调制信号，基于互功率谱的时延估计，预报误差法参数辨识-松弛的思想。( Complex modulation coherent pulse train signal, Based on the time delay estimation of power spectrum, Prediction Error Method for Parameter Identification- the idea of relaxation.)

各方调制方式，例如bpsk、qam、fak等，在高斯白噪信道下误码对比结果(MATLAB awgn)

遗传算法基本理论 经典应用实例 非数值并行算法：遗传算法(The basic theory of classical genetic algorithm application examples The numerical algorithm of parallel genetic algorithms. )

基于图像处理的HOG特征提取，可根据参数设置来确定自己设定的HOG特征(determined according to its own set of parameter settings)

五种常用的粒子滤波算法，里面有ekf算法的比较 欢迎大家下载学习，含注释(five kinds of pf filter. it will help you to study pf filter.)

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 "MATLAB application technology" Series on one of the latest MATLAB Wavelet toolbox in the 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, multiresolution analysis and orthogonal wavelet transform, wavelet transform and multirate filter banks, 2-dimensional wavelet transform and image processing and the basic principles of wavelet packets, etc. Part 2 highlights the detailed use of wavelet analysis toolbox methods, including graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform of the MATLAB implementation of the MATLAB implementation of wavelet packet transform, signal and image noise reduction and compression, and the latest signal and image enhancement of wavelet transform content Part 3 introduces the wavele)