AdaptiveHistogram

用Matlab编写的功率谱估计，输入数据是100年太阳黑子活动记录，用周期图法、最大熵值估计（AR法及Burg法），画出信号功率谱进而算出太阳黑子活动周期。(Matlab prepared using power spectrum estimation, input data is 100-year record of sunspot activity, using periodogram method, the estimated value of maximum entropy (AR Law and Burg method), draw the signal power spectrum and then calculate the sunspot activity cycle.)

利用newmark方法计算无阻尼系统，并作图(newmark calculated without damping system)

系统辨识及其matlab仿真 《系统辨识及其MATLAB仿真》附带的光盘注释: 打开系统辨识及其MATLAB仿真程序与剖析夹 ： 1）“ch2,ch5,ch7辨识程序夹”文件夹为第2章、第5章、第7章的7个MATLAB辨识仿真源程序，可直接在MATLAB6.I环境下运行；对应“*.doc文件”是ch2,ch5,ch7的各程序的注释与剖析。 2）“ch3,ch4,ch6辨识程序”文件夹为第3章、第4章、第6章的6个MATLAB辨识仿真源程序，可直接在MATLAB6.I环境下运行；另一部分“*.doc文件”是ch3,ch4,ch6的各程序的注释与剖析。 3) 两个rar压缩文件解压时密码在本书的前言部分。(System identification and matlab simulation system identification MATLAB simulation that came with CD-ROM Note: open system identification MATLAB simulation program and analysis of the folder: 1) " ch2, ch5, ch7 recognition program folder" folder for Chapter 2 Chapter 5, Chapter 7 of 7 MATLAB simulation identification source, can be directly run MATLAB6.I environment corresponds to the " *. doc files ch2,, ch5, ch7 the program annotation and analysis of 2) " ch3, ch4, ch6 identification procedures" file folder for Chapter 3, Chapter 4, Chapter 6 of 6 MATLAB simulation identification source, can be run directly in MATLAB6.I environment another part of the " *. Doc Document ch3, ch4, the ch6' s program annotation and analysis of 3) extract the compressed files in two rar password in the foreword to the book section.)

波束形成，主要是对初学者有较大的帮助，是常规波束形成的最简单的方法。(Beamforming, mainly a great help for beginners, the easiest way to conventional beamforming.)

该实例程序的作用是奇异值分解，输入预进行奇异值分解的矩阵，便可以直接运行(The sample program is the role of singular value decomposition, the singular value decomposition of the input pre-matrix, we can run)

power factor improvement by flyback dc to dc converter by controlling the output voltage

摘 要：本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗（汉明窗）、端点检测；特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW)，研究对象是特定人的语音识别，并在MATLAB平台上实现。为了进行后续研究，首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件，并转化成 “.wav”格式的文件。(Abstract: This thesis mainly studied the basic principle of speech recognition, to analyze the composition of the speech recognition system, including the preprocessing, feature extraction, to set up the module library, identify several most matches. Pretreatment, including speech sampling, pre-emphasis, add window (hamming window), endpoint detection Feature extraction of MFCC MEL frequency cepstrum coefficient. The voice system USES a dynamic time scale (DTW) algorithm, the research object is the speaker-dependent speech recognition, and realized in MATLAB platform.To carry out the follow-up study, the first to use the recording in a computer system to record the audio files of Arabic Numbers 0-9, and translated into . Wav format file.)

Implementation of fulkerson alghoritm, graph theory. Full source code in C++.

说明：  matlab实用程序百例，对于想学习matlab的编程人员是个很好的资料，例程都很经典(matlab utility hundred cases, for programmers who want to learn matlab is a very good information, the routine are the classical)

Contourlet变换思想，选用拉普拉斯塔式滤波器结构对图像多分辨率分解来捕捉奇异点。(Contourlet transform thinking, the choice of Laplace tower filter structure for multi-resolution images to capture the singularity exploded.)