CPM调制与解调

用SVM实现人脸特征提取和识别，用matlab编写，和结果分析(A matlab code of SVM for face recognition)

compute mel spectrum speech recongintio in matlab program 1m

协作通信中放大转发（AF）和译码转发（DF）协议理论和仿真曲线对比(The comparison of theoretical and simulation curves for AF and DF protocol in cooperative communication)

当文件的某一行存在某一个字符串时，就删除该文件的那一行，并适应于多文件的批量处理。(When a file on a row exists a string, delete the line of the file, batch processing and is suitable for multiple file.)

应用背景在分析基于滤波器组的OFDM系统时候，要对滤波器组的时频特性进行一个分析，这就需要用来该分析程序。研究常见的高斯、IOTA和EGF等滤波器,经常的研究包括与CP-OFDM系统中的矩形窗函数进行对比分析。 关键技术从抗 ISI 和 ICI 的角度讲,总是希望能量集中在时频格点附近,而扩散到其它格点的能量越小越好。TFL 正是描述这一特性的最直接方法。从滤波器的角度看,TFL 特性描述了两个滤波器之间的相关性。描述 TFL 特性的方法包括 TFL 函数和TFL 参数两大类。TFL 函数又包含瞬时相关函数、模糊函数和干扰函数,而 TFL参数包括 Heisenberg 参数和方向参数(direction parameter, DP)

基于 MATLAB 的语音信号分析与处理的课程设计.录制一段自己的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；给定滤波器的性能指标，采用窗函数法或双线性变换设计滤波器，并画出滤波器的频率响应；然后用自己设计的滤波器对采集的语音信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号(MATLAB-based voice signal analysis and processing of the curriculum. Record a voice signal itself, and the recorded signal is sampled draw sampled speech signal time-domain waveform and frequency spectrum filter performance given by using window method or the bilinear transformation to design a filter, and draw the filter frequency response then filter of their own design collection of the speech signal is filtered, the filtered signal to draw the time domain waveform and frequency spectrum, and filter the signal before and after comparison, analysis of signal changes playback voice signal)

An implementation of Convolutional coding and Viterbi decoding with step by step

一种基于HILBERT数字滤波的无功功率测量方法.pdf(HILBERT digital filtering based on the reactive power measurement method. Pdf)

说明：  提出了一种综合采用ButterWorth低通滤波器和平均值低通滤 波器的低通滤波器设计新方法. (Presents a comprehensive low-pass filter and using ButterWorth average low-pass filter low-pass filter design of the new method.)

1. 图像二值化 2. 边界跟踪，去除离散点 3. 边界提取 4. 删除短边 5. 区分河流与道路 先找到桥梁，利用桥梁上的种子点 对道路进行跟踪，从而提取整条主干道。 (1 image binarization 2boundary tracking, removal of discrete points 3 boundary extraction 4 Remove the short side 5 distinguish rivers and roads the curvature is too large) First find the bridge, the bridge on the use of seed points on the road to follow, thereby extracting the whole trunk.)