Trans-wl[dB]-withDelay

一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除。(Image Compression A collection of simple routines for image compression using different techniques. BTCODE: Image compression Using Block Truncation Coding. PYRAMID: Image compression based on Gaussian Pyramids. DCTCOMPR: Image compression based on Discrete Cosine Transform. IMCOMPR: Image compression based on Singular Value Decomposition. The given codes can be also used in 2D noise suppression. Notes: The function "conv2fft" performs a 2D FFT-based convolution. Type "help conv2fft" on Matlab command window for more informations.)

knn算法程序，它是一种基于matlab的模式识别算法，用于文本或其他数据样本的分类。(KNN algorithm based on matlab, the pattern recognition algorithm, the use of classification and identification.)

Two quardrand chooper, four quardrant chopper it is simulikn models

该代码为用gabor变换算法提取图像的纹理特征，用matlab编写，可应用于基于纹理的图像检索系统。其中还包含一篇gabor变换相关的文献(The code for the transformation algorithm using gabor texture features extracted using matlab preparation, can be applied to image retrieval system based on texture)

svm源码 支持向量机 文本分类算法(the svm source text classification algorithm Support Vector Machine)

AR_interpolation for interpolate the images, which is recoganized as the best one

针对防空作战中空中目标航迹预测的问题,提出一种基于灰色理论的空中目标航迹预测方法.该方法通过建立等维新息残差修正GM预测模型,实现了航迹的实时在线预测,从而提高了预测精度.(method for predicting aerial target tracks in air defense warfare was put forward based on grey theory．establishing the predicting GM model of corrected residual error，on—line prediction of the target track could be realized in real time，and thus could improve the prediction precision.)

this code implemented for ICA algorithm and can be use for face recognition

This section of MATLAB source code covers 802.11a WLAN Channel Model.

matlab 7.0 书籍中的部分程序（Java部分等） 分别是：addslide；cdemo；getbox；getn；netsearch；javatest；whoami；(matlab 7.0 books in the part of the program (Java part, etc.) are: addslide cdemo getbox getn netsearch javatest whoami )