ch6

加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法(deepen the Kalman filter algorithm understanding, knowledge Kalman Filter algorithm for the basic features, master Kalman filtering algorithm applied research on the basic steps and methods)

Matlab教程，清华大学出版社，内容详细，简单易学(Matlab tutorial, Tsinghua University Press, detailed and easy to learn)

克里金空间插值算法在matlab上的功能函数(kriging interpolation)

说明：  matlab灰色关联算法，新手入门例程，附代码脚本(Matlab grey association algorithm novice routine, with code script.)

和先前传的程序是配套的，二者对比着看，有好处，可以更深的理解和应用(Chuan previous procedures are complementary, the two contrast look forward to, good, can be a deeper understanding and application of)

It is Radar System design and signal prcessing code based on standard algorithm .this is vey important for biggener those who are working on Radar signal processing area.This code contain various chapter. this is basically chapter No9

说明：  】利用混沌动力学系统中logistic 映射先对水印图像进行置乱预处理以增强其鲁棒性, 在小波域中将原始音频信号按比例分段, 此比例为原始音频信号低频部分与水印信号个数之比, 然后将水印信号加入到音频信号的 低频部分。用StirMark 攻击后的实验结果表明, 该算法对StirMark 的部分攻击具有一定的鲁棒性。(The logistic- map sequences to encrypt the watermark are used. The original audio signal in DWT (Discrete Wavelet Transform) domain is seperated into some pieces determined by the ratio between the length of the low frequency parts and the length of the encrypted watermark. Every bit of the watermark is added into the relevant pieces of the low frequency parts in the DWT domain. Experimental results show that the algorithm is robust against some StirMark attacks.)

Nuclear morphology and structure as visualized from histopathology microscopy images can yield important diagnostic clues in some benign and malignant tissue lesions. Precise quantitative information about nuclear structure and morphology, however, is currently not available for many diagnostic challenges.

y=d2wavelet(x,Fs,level) does the 2nd order Daubechies Wavelet Transform of signal x with a sampling frequency Fs and the DWT is decomposition is done upto a level It returns the matrix of all decompositions and the final approximations. Instead of using the matlab s inbuilt DWT function, this file explains the algorithm for DWT. Mostly useful for learning & academic purposes. For other wavelets, the filter values alone can be changed or WFILTERS can be used. The function basically is for Condition Monitoring of rotating equipments by vibration based bearing fault diagnosis by the author. Example: clear all t=[0:0.0003:8*pi] x=sin(5000*t)+sin(1000*t) x=x(1:2^16) level=5 Fs=1/0.003 d2wavelet(x,Fs,level) Thanks for Downloading. Don t forget to rate or comment.

Caro game system specification Netcetric