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这两个小程序均为matlab的.m文件，08为图像的自适应魏纳滤波，09运用5种不同的梯度增强法进行图像锐化。(these two small procedures are Matlab. M documents, 08 of the images Weiner adaptive filtering, 09 using five different gradient Enhancement Act for image sharpening.)

说明：  对图像进行二值化处理，是图像预处理的重要步骤内含4种不同的方法(The binary image processing, is an important step in image pre-processing consists of 4 different ways)

Folding coefficient technique for DWT

Numerical Mathematic全书程序(the code of Numerical Mathematic)

增广最小二乘的matlab算法，简单易学。注释完全，可以很好理解算法。(broaden the Matlab least-squares algorithm is easy. Notes entirely, a good understanding of algorithms.)

LEARN MATRIX LAB SERVICE PACK 3

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)

voice interference may be show with it.

格兰杰因果检验：检测两个样本之间的因果关系，常用到预测中(Granger causality test: detecting causal relationship between the two samples, used to forecast)

OFDM系统下的信道估计,LS和MMSE算法的区别，比较仿真图像(OFDM systems under channel estimation, the difference between LS and MMSE algorithm to compare simulation image)