signal2

program for solving a set of differential algebraic equations

在MATLAB下使用Doolittle算法对矩阵进行LU分解(Doolittle algorithm in MATLAB using the matrix LU decomposition)

基于互功率谱的时延估计，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，有较好的参考价值。( Based on the time delay estimation of power spectrum, ofdm system simulation including 16qam modulation fft windowing modules plus cp, There are good reference value.)

模糊控制，的基本源程序，主要用于决策判断模糊控制，的基本源程序，主要用于决策判断(Fuzzy control, the basic source code, the main judge for decision-making fuzzy control, the basic source code, mainly used in decision making)

MATLAB的主要功能、界面操作基础，对MATLAB软件知识进行总结概括。(MATLAB' s main function, the interface based on MATLAB software knowledge summarized.)

编写的重构程序中，为了比较分解图像和重构图像，首先绘出经过小波分解的图像，然后再进行重构。(Prepared by the reconstruction program, in order to compare the decompose image and image reconstruction, first drawn by Wavelet Decomposition of an image and then refactor.)

实现PPG信号的特征提取，标记PPG信号的波峰和波谷值(Implementing feature extraction of PPG signal)

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

MIMO 检测仿真 ML MMSE ZF 还有OSIC的(MIMO detector simulation ML MMSE ZF OSIC' s there)

说明：  matlab 实现文字提取 及正负面分析(Text Classication and Sentimental Analysis)