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将正弦波与宽带噪声分离开来，并提取正弦波信号(The sine wave and separated from the broadband noise, and extract the sine wave signal)

连续隐马尔可夫识别程序。 包含的模块，可以比较完整地进行语言识别。 主要模块： Test.m Train.m viterbi.m baum.m pdf.m recog.m mixture.m mfcc.m (speech recognize using HMM include 11 matlab fuction: Test.m Train.m viterbi.m baum.m pdf.m recog.m mixture.m mfcc.m )

对数字信道容量进行迭代运算，计算在信道容量情况下，最佳的传输概率(On the digital channel capacity for iterative calculation was under the channel capacity, the best transmission probability)

bandlets在去噪中简单应用，实例详细，适合于初学者。(Bandlets in the application to simple noise，It has detailed examples,and is suitable for beginners.)

常用压缩感知恢复算法,OMP,ROMP,gOMP等，压缩感知入手基本算法(Compressive Sensing Reconstrication algorithm)

数学建模中常见的灰度预测程序，能够求解一般的预测性问题，较实用(Mathematical Modeling in the common gray forecasting process, to solve the general problem of predictability, a more practical)

说明：  《MATLAB 7.0编程基础》第8章 （源码实例）主要讲解MATLAB图形用户界面设计("MATLAB 7.0 programming foundation" Chapter 8 (source code examples) mainly on MATLAB graphical user interface design)

clear all clc t=0:1/1000:10-1/1000 s=sin(2*pi*t) snr=20 s_power=var(s) varience of s linear_snr=10^(snr/10) factor=sqrt(s_power/linear_snr) noise=randn(1,length(s))*factor x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù x1=noise Ô ë É ùÔ ´ Ê ä È ë x2=noise w1=0 È ¨Ï µ Ê ý ³ õ Ö µ w2=0 e=zeros(1,length(x)) y=0 u=0.05 for i=1:10000 LMSË ã ·¨ y(i)=w1*x1(i)+w2*x2(i) e(i)=x(i)-y(i) w1=w1+u*e(i)*x1(i) w2=w2+u*e(i)*x2(i) end figure(1) subplot(4,1,1)

自适应阵列波束形成算法研究.kdh 硕士毕业论文(Adaptive array beamforming algorithm. Kdh Master' s Thesis)

加窗变换，信号在高斯窗函数取不同a时的STFT，窗函数是不同值时的stft(Windowed transform the signal in a Gaussian window function to take different when the STFT, the window function is different values ​ ​ of the stft)