li4

lu decomposition using matlab programing

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

本程序介绍了一种PPB滤波算法来去除图像中的加性高斯噪声，09年才提出来的新算法非常的高效，去噪效果相当好(This procedure describes a filtering algorithm to remove the image PPB in additive Gaussian noise, 09 years to put forward a new algorithm is very efficient, very good denoising effect)

Gabor filter is widely used in signal extraction。

calssification algorithm

第7章语音信号的减噪176 7.1自适应滤波器减噪176 7.1.1LMS算法基本原理176 7.1.2基本LMS自适应算法178 7.1.3LMS的自适应陷波器181 7.2谱减法减噪184 7.2.1基本谱减法184 7.2.2改进的谱减法187 7.3维纳滤波法减噪195 7.3.1维纳滤波的基本原理195 7.3.2维纳滤波减噪的具体步骤和函数WienerScalart96197 7.3.3维纳滤波的MATLAB例子199(Noise Chapter 7 of the speech signal noise reduction algorithm for adaptive filters 176 7.1 Fundamentals 7.1.2 Basic LMS adaptive algorithm 176 178 7.1.3LMS of 176 7.1.1LMS adaptive notch filter 181 7.2 184 7.2 spectral subtraction noise reduction 184 7.2.2 .1 basic spectral subtraction improved spectral subtraction method of noise reduction Wiener filter 187 195 7.3 Fundamentals 7.3.1 195 7.3.2 Wiener filtering Wiener filter noise of concrete steps and functions WienerScalart96197 7.3.3-dimensional MATLAB examples Carolina filter 199)

正安全容量概率matlab仿真所有源程序，对于学习无线通信物理层安全的同学有一定的指导意义。( The Monte Carlo simulatiom and accurate curve of Positive Secrecy Probability. The source file are very rare and significant. I hope it will be helpful to somebady who is studing Wireless Communication. )

基于Matlab的异步电机的起动、控制、调速等的仿真(asynchronous motor matlab simulink)

一个UPF的例程，内含matlab源代码和相关的文档资料（英文），对UPF的基本原理有详细的介绍(a UPF of routines, containing Matlab source code and related documentation information (English), UPF of the basic tenets is described in detail)

we will easily find out the agriculture region and man made region using hidden markov model