LDPC.m

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.))

西北工业大学研究生课程，数字信号处理上机作业三(Northwestern Polytechnical University post-graduate courses, digital signal processing, machine operating)

毕设内容，高光谱图像基本处理，计算多重分形非趋势波动分析matlab程序,使用大量的有限元法求解偏微分方程。

Fir implementation on MATLAB and ccs

使用高斯消元法，在GF（2）域上计算矩阵的逆矩阵，比MATLAB自带方法快！(Use Gaussian elimination in GF (2) matrix inverse matrix calculation on the domain, faster than MATLAB own way!)

这是ROC曲线绘制matlab代码，用于数据分类时，对分类准确率评价的一种方法。(This is MATLAB code of ROC curves which is a uation method of classifying accuracy when the data are classified.)

实现了一个小球自由落体碰撞地面并弹跳的过程，设置了一个碰撞衰减系数c,可以自己调整衰减速度。(The process of collision and bounce of a small sphere falling freely on the ground is realized. A collision attenuation coefficient C is set to adjust the attenuation speed by itself.)

说明：  列与约束算法解决鲁棒经济调度问题，分解成主问题和子问题解决(Column and constraint algorithms solve the robust economic scheduling problem,which are decomposed into main problems and sub-problems)

说明：  Matlab实现对正弦波采样的线性内插，及上采样过程。(Matlab to achieve sampling sinusoidal linear interpolation, and the sampling process.)

实现信号的采样与恢复m文件（在matlab中实现）(Signal sampling and recovery m file (in Matlab))