main_test1

此程序是基于MATLAB的采用窗函数设计法设计FIR滤波器，内有多种窗函数，包括海明窗，汉宁窗，布拉克曼窗等等(This procedure is based on the use of MATLAB window function design FIR filter design with a multi-window function, including the Hamming window, Hanning window, Blackman window, etc.)

本工具包给出了反问题计算常用的正则化参数确定，求正则化解等方法。非常有效，是难得的一款好软件包(The kit gives the calculation of inverse problem regularization parameter commonly used to determine, find the regularized solution and other methods. Very effective, a good package is a rare)

lms算法的MATLAB实现。采用LMS算法对一段SIN+RANDOM的噪声滤除RANDOM后显示SIN。(lms algorithm MATLAB implementation. LMS algorithm using a SIN+ RANDOM then SIN displayed after noise filtering.)

MATLAB的一些关于MR阻尼器的程序 总共好几个程序 不知道能不能一次上传 (Some of MATLAB programs on the MR damper)

向量机算法中的核函数向量机算法中的核函数向量机算法中的核函数(SVM kernel function)

3 triangular connected buses system, solving the load flow using Newton Raphson.

统讲述MATLAB6.5 的集成工作平台，引导读者初会MATLAB 基本用法。 第二、三章系统叙述MATLAB6.1 的四大基本数据类型（数值数组、字符串数组、元胞数组、 构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit 数组、稀疏类） 则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数 和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同 软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章 深入浅出地阐明SIMULINK 的分层建模、仿真功能、与MATLAB 交互的功能。(The the integration work platform on the system tells MATLAB6.5 the guide readers to the beginning of MATLAB basic usage. The second and third chapters system described the MATLAB6.1 four basic data types (numeric array, string array, cell array, the array architecture), as extended data types (function handle symbol data, inline functions, unit array , the sparse class) are covered in separate chapters specifically mentioned. Since then, with nine separate chapter book are as MATLAB6.5 the numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application generation, different software platform to interact The data graphics API, M-book text environment integration Eight generic function. Book special chapter layman' s language to clarify SIMULINK hierarchical modeling, simulation capabilities, and MATLAB interaction.)

source code for SVC(Support Vector Clustering) plot,支持向量聚类画图工具，作者daewonlee(source code for SVC(Support Vector Clustering) plot,by daewonlee)

Estimating Adaptive AutoRegressive-Moving-Average-and-mean model

JPEG DCT based baseline method which divides the image into 8x8 blocks and quantize anthen entropy coded.