wav_analizy

Discrete cosine transform designed using matlab

分数阶傅立叶变换，可用于LFM信号的相干源信号的估计(Fractional Fourier Transform can be used for LFM signal of the coherent source signal estimate)

基于LMS算法和RLS算法的自适应滤波器设计(Based on LMS and RLS adaptive filter design)

VLSI electronics books for technical studiesVLSI electronics books for technical studiesVLSI electronics books for technical studies

matlab 算法实现包 (matlab algorithm package)

说明：  awgn的各种实现函数，以及每个函数实现的各种功能(awgn)

code of multivariable optimization by yang

分形的练习一 ①Koch曲线 用复数的方法来迭代Koch曲线 clear i 防止i被重新赋值 A=[0 1] 初始A是连接（0，0）与（1，0）的线段 t=exp(i*pi/3) n=2 n是迭代次数 for j=0:n A=A/3 a=ones(1,2*4^j) A=[A (t*A+a/3) (A/t+(1/2+sqrt(3)/6*i)*a) A+2/3*a] end plot(real(A),imag(A)) axis([0 1 -0.1 0.8]) ②Sierpinski三角形 A=[0 1 0.5 0 0 1] 初始化A n=3 迭代次数 for i=1:n A=A/2 b=zeros(1,3^i) c=ones(1,3^i)/2 A=[A A+[c b] A+[c/2 c]] end for i=1:3^n patch(A(1,3*i-2:3*i),A(2,3*i-2:3*i), b ) patch填充函数 end (Fractal Exercise One The ① Koch curve Plural iteration Koch curve clear i to prevent i is reassigned A = [0 1] initial A is a connection (0,0) and (1,0) of the segments t = exp (i* pi/3) n = 2 n is the number of iterations for j = 0: n A = A/3 a = ones (1,2* 4 ^ j) A = [A (t* A+ a/3) (A/t+ (1/2+ sqrt (3)/6* i)* a) A+2/3* a] end plot (real (A), imag (A)) axis ([0 1-0.1 0.8])   ② Sierpinski triangle A = [0 1 0.5 0 0 1] initialized A n = 3 the number of iterations. for i = 1: n A = A/2 b = zeros (1,3 ^ i) c = ones (1,3 ^ i)/2 A = [A A+ [c b] A+ [c/2 c]] end for i = 1:3 ^ n patch (A (1,3* i-2: 3* i), A (2,3* i-2: 3* i), b ) patch filled function end)

采用Davenport功率谱密度函数，线性滤波法模拟风荷载(Davenport using power spectral density function, linear filtering method to simulate wind loads)

1. 构造含噪音的振动信号 faultysignal_with_noise， 2. 利用小波变换 Wavelet transform去噪，小波包 Wavelet packet transform 变换去噪， 3. 把两种去噪后的信号，分别用STFT ,FFT ,小波变换三种方法进行错误诊断(1. the vibration signal faultysignal_with_noise, which contains noise, is constructed. 2. using wavelet transform Wavelet transform denoising, wavelet packet Wavelet packet transform transform de-noising, 3. the two kinds of denoising signals are diagnosed by three methods, STFT, FFT and wavelet transform respectively.)