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用matlab的LAPACE算子原理对图像进行了吧。是源图像更加的清晰。(Operators using matlab' s LAPACE principle of the image instead. Is the source image is more clear.)

这是关于va检测的程序。 仿真参数为: 帧数：1000 帧长：100 调制方式：bpsk 信道：3径rayleigh慢衰落信道 接收：VA检测 文件有：bpsk.m；dec_bpsk.m；trellis.m；viterbi_my.m；main.m(This is about the va testing procedures. Simulation parameters: number of frames: 1000 Frame Size: 100 Modulation: bpsk Channel: 3 Path slow rayleigh fading channel receiver: VA inspection documents: bpsk.m dec_bpsk.m trellis.m viterbi_my.m main.m)

说明：  matlab的svm工具箱,感觉还不错。支持向量机在识别方面很常用的。(matlab svm toolbox~)

滤波器，关于均值和几何滤波器，以及去椒盐噪声的代码(Filter mean and geometry filter, as well as salt and pepper noise code.)

模糊C均值聚类算法工具箱 总有一种程序适合你(Fuzzy C-means clustering algorithm toolbox there a program for you)

基于小波变换的图像去噪的matlab程序的源代码，很好用！(based on wavelet transform image denoising the Matlab program's source code, easy to use!)

Comparison of estimates: Pisarenko method, ESPRIT, MUSIC, AR

模拟PS软件，使用渐变方式，改变图象背景(PS simulation software, using the gradual approach to change the background image)

一种未知信源数的高分辨DOA 估计算法：众多性能优良的超分辨波达方向(DOA)估计算法通常需要预先判定信源数目，然而，现有的信源数估计 算法在有限采样快拍条件下，估计性能随着信噪比的降低而下降，错误概率也相应增加，最终导致DOA 估计失败。 该文提出一种超分辨的DOA 估计算法，此算法不需要预判信源个数和进行特征值分解，同时在时变环境中，针对 快拍数较少的情况下，依然保持较高的角度分辨能力，可以被认为是综合了Capon 法和MUSIC 法的优点。(Algorithm on High Resolution DOA Estimation without Sources Number：Many of the super resolution DOA(Direction-Of-Arrival) estimation algorithms presume the number of signal sources. Since the sample snapshot is limited, however, the available algorithms on source number estimation may fail at lower SNR. In this paper, a novel algorithm for high resolution DOA estimation is proposed, which not only skips sources number estimation and EVD, but also behaves satisfactorily with a few snapshot, it may be viewed as a combination of merit of conventional Capon and MUSIC method.)

caculates the ber for CBPSK, DPSK, and Coherent GMSK for fading and no fading usinganalytical means.