MATLABstudy

数字滤波的例子，巴特沃斯与切比雪夫的横向和纵向对比，及阶数分析(Digital filter example, Butterworth and Chebyshev comparison of horizontal and vertical, and the order of)

用蚁群算法优化BP神经网络，然后用于预测，非常实用，适合初学者。(This is the aco-bp code in matlab)

图像融合，实现两幅图像的特征融合.该程序使用小波分解的方法先对两幅图像进行小波分解，然后进行多种方法对图像进行特征融合(Fusion, feature fusion of two images to achieve. The method uses wavelet decomposition of the two images before wavelet decomposition, and then features a variety of methods of image fusion)

基于最小错误概率和最小风险的贝叶斯分类器(Based on the minimum probability of error and minimum- risk Bayesian classifier )

这是IEEE上一篇比较不错的论文：关于低复杂度解决OFDM 系统中降低papr的新技术(This is the IEEE paper on a relatively good: low complexity solutions for OFDM systems in new technologies to reduce papr)

cnv_encd.m　卷积编码程序 viterbi.m　　卷积译码程序 其它的是viterbi.m中用到的子函数(cnv_encd.m convolution coding procedures viterbi.m other convolution decoding process is used in viterbi.m Functions)

这是一个matlab程序，用互信息法求混沌重构时延的主程序(This is a matlab program, the main delay for chaotic reconstruction method using mutual information)

LBP算子，用matlab实现，在本机上成功运行。(LBP operator, using matlab to achieve, on this machine to run successfully.)

通过降噪自动编码器对心电信号的单心拍进行降噪，效果良好。(By noise automatic encoder ECG single heart beat for noise reduction, to good effect.)

RNA 和 DNA序列模拟 基因建模 数值模拟 采用matlab 编写 能计算几千个 基因点的特性和行为(In one type of gene expression analysis, fluorescently tagged messenger RNA from different cells are hybridized to a microscopic array of thousands of complimentary DNA spots that correspond to different genes. Illuminated spots emit different color light, indicating which genes are expressed (e.g., green=control, red=sample, yellow=both). In this case study, MATLAB, the Image Processing and Signal Processing toolboxes were used to determine the green intensities from a small portion of a microarray image containing 4,800 spots. A 10x10 pattern of spots was detected by averaging rows and columns to produce horizontal and vertical profiles. Periodicity was determined automatically by autocorrelation and used to form an optimal length filter for morphological background removal. A rectangular grid of bounding boxes was defined. Each spot was individually addressed and segmented by thresholding to form a mask. The mask was used to isolate each spot from surrounding background. Individu)