svm3

说明：  《MATLAB在电子信息课程中的应用》中的辅助程序，包含单位阶跃序列生成函数、单位脉冲序列生成函数、多项式补零相加，等( MATLAB curriculum in electronic information application of auxiliary procedures, contains the unit step sequence generating function, unit pulse sequence generating function, polynomial zero-sum premium, etc.)

基于matlab采用mpeg压缩原理，实现对avi格式文件的解压缩(Matlab mpeg compression used on principle, to realize the decompressor avi format)

小波分解用在信号识别上面。所用信号有，单载波信号和OFDM信号以及另一种多载波信号WPM。对做信号处理和识别方面的朋友会很有帮助。(Wavelet decomposition used in the signal recognition above. Signals are used, single-carrier signals and OFDM signals, and other multi-carrier signal WPM. Do signal processing and identification of areas friend would be helpful.)

导航制导率的matlab模拟M文件，非比例制导率。(Rate Matlab simulation of navigation-guided M-file)

给出了一种新的自适应非线性滤波历程，该方法计算量小而且使用方便(Presents a new adaptive nonlinear filtering process, the method is small and easy to use)

这是一个关于BPSK信号的产生和调制的详细过程 。(his is a detailed process regarding the generation and modulation BPSK signal.)

MATLAB中GUI的学习，建立界面，添加按钮，设置功能等(gui of MATLAB is important)

Low Energy clustering Protocol that is implemented in MATLAB

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．)

在matlab环境中自动识别连通区域的大小,时间序列数据分析中的梅林变换工具，用MATLAB实现的压缩传感。( Automatic identification in the matlab environment the size of the connected area, Time series data analysis Mellin transform tool, Using MATLAB compressed sensing.)