in_pend

利用小波的能量距作为特征进行雷达波形的特征提取(From the use of wavelet energy as a radar waveform characteristics of the feature extraction)

Initiation et Introduction à Matlab.

1.二值图像的fft分析 2.显示频谱图像，频谱的零频率系数被移到频谱中间 3.填充矩阵填充后的情况比较 4.绘图直观形象(1. Binary Image fft analysis 2. Image shows the spectrum, Spectrum coefficient of zero frequency spectrum has been moved to the middle three. Filled Filled matrix compared to the situation after four. Mapping visual image)

通过编写该程序，首先输入点，然后点击拟合。(Through the preparation of the program, the first input point, and then click on the fitting.)

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用模最大值法提取小波脊，该例中又两条小波脊，所以是多脊提取。同时又施加惩罚函数，控制lamda的值，可以得到较为平滑的小波脊。( using maximum modulus extract wavelet ridge, the case has two wavelet ridge, it is a multi-ridge extraction. At the same time to impose the penalty function to control the value of lamda,the extracted ridge can be relatively smooth .)

说明：  粒子群优化算法，由粒子群算法实现目标函数的最优解(PSO, particle swarm algorithm from the optimal solution of objective function)

programa que demonstra como usar multi threads

CGSVD Compact generalized SVD of a matrix pair in regularization problems. sm = cgsvd(A,L) [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu] Computes the generalized SVD of the matrix pair (A,L): [ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv(X) [ L ] [ 0 V ] [ 0 eye(n-p) ] [ diag(mu) 0 ] where U is m-by-n , sigma is p-by-1 V is p-by-p , mu is p-by-1 X is n-by-n . It is assumed that m >= n >= p, which is true in regularization problems. Reference: C. F. Van Loan, Computing the CS and the generalized singular value decomposition , Numer. Math. 46 (1985), 479-491. Per Christian Hansen, IMM, 12/19/97. Initialization.

wireless sensor network time synchronization based on TPSN and RBS