vioce-signal-processing

cpml thechnique for finite difference time domain

用各种尺寸的掩模平滑图像,matlab源代码(Mask of all sizes with a smooth image, matlab source code)

Code source of Distribution Wigner ville

MATLAB·各种命令都有，可随意查询。(MATLAB has a variety of command, are free to query.)

《数字图像处理(MATLAB版)》是把图像处理基础理论论述与软件实践方法相结合的第一本书，它集成了冈萨雷斯和伍兹所著的《数字图像处理》一书中的重要内容和MathWorks公司的图像处理工具箱。本书的特色在于它重点强调了怎样通过开发新代码来增强这些软件工具。本书在介绍MATLAB编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等。(Digital image processing (the MATLAB Version) " is the first book of the combination exposition of the basic theory of image processing software practices, integrated Gonzalez and Woods book" Digital Image Processing " book of important content and MathWorks Image Processing Toolbox. The features of this book lies in its emphasis on how to develop new code to enhance these software tools. Introducing MATLAB programming basics, the book tells the story of the main contents of the image processing, including brightness transform, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.)

Hough Transformation in Matlab

matlab GUI示例程序，内有详细说明(Matlab GUI sample program, described in detail)

screen capture utility for matlab

说明：  根据随机给出的二进制信号进行统2ASK调制,画出各个阶段的波形.(According to random binary signals given 2ASK modulation system, draw the various stages of waveform.)

Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved． Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer simulation results show that this algorithm converges more quickly than the origina1．Furthermore，better antinoise property is exhibited under Low—SNR environment than the original one．(variable step size of a LMS daptive filtering are studied. The VS-LMS algorithm is improved. Another new non-linear function between anus and e (/ t) is established. The theoretic analysis and computer simulatio n results show that this algorithm converges mo 're quickly than the origina1. Furthermore, better antinoise property is exhibited under L ow- SNR environment than the original one.)