Kalman1960

SVD Source Code, realized on MATLAB Image Compression is the application using Linear Algebra tools

这个源码能够对ofdm系统进行仿真，得出仿真结果，计算误码率(This source can OFDM system simulation, simulation results obtained to calculate the bit error rate)

说明：  离散数据的快速傅里叶变换。读取一段数值模拟得到的时间历程曲线，进行fft变换，得到幅频曲线。(Fast Fourier transform of the discrete data. Read the section of numerical simulation of the time course of the curve, fft transform, the amplitude-frequency curve.)

ios下，一个基于XMPP简单的的通信demo(Under ios, an XMPP-based communication simple demo)

基于压缩感知的MIMO信道估计算法，使用了CoSaMP算法，GBP算法，OMP算法，CE算法，还有ls信道估计算法，MMSE算法，MIMO信道模型，等很全面(Compressed sensing based MIMO channel estimation algorithm, using CoSaMP algorithm, GBP algorithm, OMP algorithm, CE algorithm, and ls channel estimation algorithm, MMSE algorithm, MIMO channel model, etc.)

m序列生成函数，可在matlab环境下调用生成伪随机序列(m sequence generation function can be generated in matlab environment, called pseudo-random sequence)

finding dwt using averaging

数字预失真的MATLAB仿真，有详细说明(MATLAB simulation of digital predistortion, with a detailed description.)

An unsuperwised SOM classificatoin on the wheather data of a metropolis over 40 years

empirical formula with kaiser clc clear all fs=1000 fc=250 df=50 r=0.001 f=fc/fs dw=2*pi*(df/fs) a=-20*log(r) n=floor(((a-8)/(2.285*dw))+1) if a>50 b=0.1102*(a-8.7) elseif a>=21 && a<=50 b=0.5842*((a-21)^0.4)+0.07886*(a-21) elseif a<21 b=0.0 end w=kaiser(n,b) for i=1:n if i~=(n-1)/2 hd(i)= (2*f*sin((i-((n-1)/2))*2*pi*f))/((i-((n-1)/2))*2*pi*f) elseif i==(n-1)/2 hd(i)=2*f end end for j=1:n h(j)=w(j)*hd(j) end subplot(3,1,1), plot(w) subplot(3,1,2), plot(h) subplot(3,1,3), plot(h,n)