jc-specs

使用MATLAB实现卷积码的编译码，信源为随机产生数，进行软判决译码(Convolutional code using the MATLAB implementation of the codec, source for the randomly generated number, to soft-decision decoding)

说明：  手写英文字母识别:主要是基于mtlab的程序。对手写的大写字母进行识别(alphabet recognition)

提升法97经典程序此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 为了保证正交，所有边界处理，全部采用循环处理(upgrade classic procedures of this process is to achieve matrix, So images of horizontal component and the vertical component is estimated to be exchanged orthogonal position to ensure that all borders, the use of cycles)

Efficient Face Detection

基于matlab的BPSK-AWGN编程(hbfghgfhngfhgfjnhgjhg)

说明：  谢非尔大学编的遗传算法工具箱，里面包含了完整遗传算法实例和经典的算(Xie National University series of genetic algorithm toolbox, which contains a complete and classic examples of genetic algorithm operators)

帮助分割图像的程序 能从目标图像中取出对象 This program segments and extracts objects from an image.(help the image segmentation process images from the target object Retrieve This program segme nts and extracts objects from an image.)

The travelling salesman problem (TSP) or travelling salesperson problem asks the following question: Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city? It is an NP-hard problem in combinatorial optimization, important in operations research and theoretical computer science.

单个的MIMI-OFDM系统的MATLAB的仿真，有英文注释(Single MIMI-OFDM system MATLAB simulation, with English notes)

提出了一种多迸制频移键控(M娲K)信号调制分类及解调方法，选取截获接收机输出的MFSK信 号的时频脊线作为分类特征，利用无监督聚类算法求取最佳聚类数M．利用时频脊线的Ham：小波变换 估计码元宽度，并且利用对应最佳聚类数的聚类中心确定抽判门限，通过对时频脊线抽样判决，实现了 MFSK信号的解调．理论分析和对实际信号的处理结果证明了此算法的可行性．(new algorithm is proposed for elassillcation and demodulation of MFSK signals．The ridge of time— frequency representation of MFSK signals is analyzed．Modulation elassi_fieation is realized by using the unsupervised clustering algorithm to determine the optimal nulnllt2r of clusters．In order to demodulate MFSK signals，the Haar wavelet transform is used to estimate the code—width and the centers of optimal clusters are used to determine thresholds．Theoretical analysis and practical signal processing results justify the robusticity and the efficiency of the new classification and demodulation Mgorithm．)