3spots_curve-route_BP-

de-nosie using wavelet

统计与自适应信号处理中的源码，对智能天线的学习有帮助(Statistical and Adaptive Signal Processing source)

this a very good pv model done with mathwork sites

通信系统中的符号调制，包括BPSK，QPSK，8PSK以及QAM的符号调制方式选择源程序。(Modulation symbols in a communication system, including BPSK, QPSK, 8PSK and QAM modulation scheme selection symbol source.)

用MATLAB中SDE框架实现各维度的随机步走(In this demo we use the SDE framework in the Econometrics Toolbox to implement various random walks. )

说明：  小波阈值去噪的基本思想是先设置一个临界阈值λ，若小波系数小于λ，认为该系数主要由噪声引起，去除这部分系数;若小波系数大于λ，则认为此系数主要是由信号引起，保留这部分系数，然后对处理后的小波系数进行小波逆变换得到去噪后的信号。(The basic idea of wavelet threshold denoising is to set a threshold value of lambda first. If the wavelet coefficient is less than lambda, it is considered that the coefficient is mainly caused by noise and this part of the coefficient is removed. If the wavelet coefficient is larger than lambda, it is considered that the coefficient is mainly caused by signal, and this part of the coefficient is retained. Then the denoised signal is obtained by inverse wavelet transform of the processed wavelet coefficient.)

Also used for Homomorphic filtering

递归算法 [1 1 1 1 1 0 1 0 0 0 1 0 0 0 0 1 1 0 0 0 1 1 1 0 0 1 1 1 1 0] t=[0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1] 给权值赋初值 w1=eye(5,10) w2=eye(10,5) wr=eye(10,10)/3 wobias=eye(6,5)/4 wbias=eye(6,10)/3 x=ones(6,10)/3 ww2=zeros(10,5)/6 ww1=zeros(5,10)/6 wwr=zeros(10,10)/6 wwobias=zeros(6,5)/5 wwbias=zeros(6,10)/4 g=[1 1 1 1 1] f=[1 1 1 1 1 1 1 1 1 1] (Recursive algorithm)

ieee papers on image compression

Support Vector Machines solution