里面含有vhdl和verilog 版本,很好用!dct变换用得很多啊!

二维新的粒子群算法matlab程序，希望对大家有有帮助。-The new two-dimensional particle swarm optimization matlab program, and they hope to help everyone.

flash导航条，大家在网站设计的时候经常会遇到如何设计自己导航条的问题，一些精美的导航条实例给大家-flash navigation bar, web design in the U.S. often encounter how to design their own navigation bar, some fine examples of the navigation bar to the U.S.

一个运动估计运算的MATLAB文件，本人已经测试过，非常有用。-A motion estimation MATLAB file operations, I have been tested, very useful.

这是一个关于jpeg2标准的英文原版说明,里面详细介绍了jpeg2的算法,对大家很有帮助- This is explained about the jpeg2 standard English first edition that, inside in detail introduced the jpeg2 algorithm, has very much to everybody helps

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.

VC++6.0下十分好用的图像处理库ImgLib-err

此程序是用于图像处理中，图像去噪，并且考虑角点存在的情况-This program is used for image processing, image denoising, and consider the existence of corner

高斯背景建模的C++程序，里面有用到OPENCV。-Gaussian background modeling C++ Procedures, which useful to OPENCV.

用vb开发的,载入图像,然后对图像进行二值化的处理.-Developed using vb, loading image, and then image binarization processing.

八值图像连通区域标记，为每个连通区域分配一个唯一的标号，处理后的图像按照从左到右，从上到下的顺序获得连续的标号-Binary image connected region eight marks, for each connected region a unique label distribution deal with in accordance with the image from left to right, from top to bottom order of access to continuous labeling