Hvdc_12pulse

一个简单的小波变换的图像去噪的matlab程序的源代码(Wavelet transform image denoising Matlab program s source code)

Compute log(sum(exp(x),dim)) while avoiding numerical underflow. By default dim = 1 (columns).

compressive sensing 新版本MMA14( This is an example using the Subspace Pursuit Algorithm of Wei Dai and Olgica Milenkovic "Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity" and the Re-weighted algorithm of Rick Chartrand and Wotao Yin "Iteratively Reweighted Algorithms for Compressive Sensing" In order to run this example you need to install all these m.files in the same directory and type trialSP2 at the prompt. Written by Igor Carron http://nuit-blanche.blogspot.com Creative Commons Licence with attribution)

实现了基于mean-shift的图像检索，实现了比较两图像的相似度，选择最相近的图片(To achieve mean-shift based image retrieval, to realize the similarity of two images, the selection of the most similar image)

说明：  通信信号相干调制解调源码 Fc=10 ％载频 Fs=40 ％系统采样频率 Fd=1 ％码速率 N=Fs/Fd df=10 numSymb=25 ％进行仿真的信息代码个数 M=2 ％进制数(Coherent modulation and demodulation of communication signal source Fc = 10 carrier frequency Fs = 40 systematic sampling frequency Fd = 1 code rate N = Fs/Fd df = 10 numSymb = 25 of the information code to simulate the number of M = 2 hexadecimal number)

Power system state estimation for monitoring power flows and voltages on a transmission system.

该m文件为克里金插值程序，m文件里面附上了英文注释及例子。(The m file Kriging m file inside enclosed English notes and examples.)

MATLAB GUI设计学习手记（第二版）源程序 第9章 本书推荐的学习方法： 1）若您是一个MATLAB初学者，且有充裕的时间来学习GUI设计，您可以从本书的第1章开始循序渐进地学习。 2）若您是一位MATLAB初学者，且时间非常紧迫，建议您先学好第1章，然后依次学习第4章、第5章和第6章，其他章节请根据项目需要有选择性地学习。 3）若您已经掌握了MATLAB的基础语法知识，有一定的MATLAB编程基础，也请浏览一下第1章的内容，尤其是专题分析部分。然后先学习本书第4、5和6章，其他章节请根据项目需要有选择性地学习。 4）若您是一位MATLAB GUI方面的专家或老师，您可以将本书作为一本教学的参考书，本书内容全面、讲解详实、代码精炼，是不可多得的GUI宝典。 (MATLAB GUI design learning Hearts (second edition) source learning methods recommended in Chapter 9 of the book: 1) If you are a MATLAB beginners, and there is plenty of time to learn GUI design, you can start from Chapter 1 of the book The step-by-step learning. 2) If you are a MATLAB beginners, and the time is very tight, it is recommended that you first learn to Chapter 1, followed by learning Chapter 4, Chapter 5 and Chapter 6, in other sections based on project needs selective learning . 3) If you have mastered the basic grammar of the MATLAB, the MATLAB Programming Fundamentals, please visit the Chapter 1, in particular thematic analysis section. First learning book chapters 4, 5 and 6, then the other chapters selective learning based on project needs. 4) If you are an expert or teacher of a MATLAB GUI, you can book as a teaching reference books, the book is comprehensive, explain the detailed, refined code, is a rare GUI canon.)

em algorithm - Find approximate solution to Sf = conv(s,f) = d using EM iteration. EM seeks to minimize the Poisson negative log likelihood function J(f) = sum_i {[Sf]_i - (d_i + sigma^2)*log([Sf]_i + sigma^2)}.

AR自适应滤波器，用Kalman滤波器跟踪AR模型的吸收变化(adaptive AR model，use kalman filter to trace the variance of ar coeffience)