get_ARandPDI

论文设计第2部分,设定一个滤波器阶数,比较观察QMF(CQF OQF)在不同量化级下的误差,编码效率等(Thesis design, Part 2, set a filter order to compare observed QMF (CQF OQF) at different level of quantization error, coding efficiency)

matlab code for reading segy files

基于QPSO算法的移动机器人的路径规划程序与结果分析(mobile robot path planning based on QPSO algorithm with results)

里面含有盲识别BCH码的长度的代码，用于matlAB子程序调试，很好用。(BCH code which contains the length of the blind identification code for matlAB subroutine debugging, very good use.)

说明：  利用神经网络实现电磁波信号的波达角预测，MATLAB实现方法(Prediction of Signal Arrival Angle of Arrival Using Neural Network)

基于支持向量机的人脸年龄估计matlab仿真。(Face Age estimated based on support vector machine matlab simulation.)

信号阵列处理，主要是对四元十字阵和五元十字阵进行了对比，结果显示在只增加一个阵元的情况下效果有明显改善，有一定参考意义(Array signal processing, mainly of quaternary cross array and five yuan cross array are compared, the results showed in the case of only add an array yuan effect has improved significantly, have certain reference significance)

数字水印在linux下面运行的代码，内有详细的注释说名(a watermarking program which can run under Linux. Attached with clear instructions.)

此文件是麻省理工大学系统辨识课程，值得一看收藏(system identification courses in Massachusetts Institute of Technology , worth a visit)

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.