Statistical-decision

说明：  在QPSK调制方式下，高斯瑞丽信道，对MIMO系统的误码率性能仿真，简单易懂，可以得出误码率曲线(In QPSK modulation, the Gaussian Rui Lixin Road, on the BER performance of MIMO system simulation, easy to understand, bit error rate curve can be drawn)

这是一个改进的SFLA（混合蛙跳算法），使用MATLAB 实现，代码简单并且实用，欢迎下载。(This is an improved the SFLA (shuffled frog leaping algorithm), using MATLAB to achieve, the code is simple and practical, welcome to download.)

Visual C++/MATLAB图像处理与识别实用案例精选 一书的所有程序代码(Visual C++/MATLAB image processing and recognition of practical cases selected all the code book)

creat channel, input, noise for ISI channel

分数阶FOURIER 有关的一些简单程序(FRACTIONAL FOURIER some simple procedures for the)

ch3=softt(h3,thr1 clear clc I=imread( lena512.bmp ) imshow(I) I=double(I) II=I+30*randn(size(I)) figure imshow(II,[]) [a1,h1,v1,d1]=dwt2(II, sym8 ) [a2,h2,v2,d2]=dwt2(a1, sym8 ) [a3,h3,v3,d3]=dwt2(a2, sym8 ) sigma=median(abs(d1(:)))/0.6745 x=3*sigma thr1=x*2^(-1) thr2=x*2^(-0.5) thr3=x 小波图像去噪( ch3=softt(h3,thr1 clear clc I=imread( lena512.bmp ) imshow(I) I=double(I) II=I+30*randn(size(I)) figure imshow(II,[]) [a1,h1,v1,d1]=dwt2(II, sym8 ) [a2,h2,v2,d2]=dwt2(a1, sym8 ) [a3,h3,v3,d3]=dwt2(a2, sym8 ) sigma=median(abs(d1(:)))/0.6745 x=3*sigma thr1=x*2^(-1) thr2=x*2^(-0.5) thr3=x )

FDTD homeworks for waveguides and microstrip 2D

最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

所有图论问题的MATLAB程序，包括最短路等等(MATLAB graph theory problem of all procedures, including the short-circuit, etc.)

卡尔曼滤波的MATLAB实现 卡尔曼滤波的原理和实现代码 (Kalman filter MATLAB and implementation of the principle of Kalman filtering code)