prbs.m

A small Blind Source Separation example

说明：  通信始祖山农的1948年的通信开山之作，通信系统的数学理论，具有理论研究意义(Communication before the communication 1948 Zu Shannong pioneer for, the mathematical theory of communication systems, with significant theoretical research)

Maximum likelihood estimator matlab

基于OFDM信道冲击响应和信道估计的matlaB仿真代码。值得借鉴！(Based on OFDM channel impulse response and channel estimation matlaB simulation code. Worth learning!)

频谱分析的GUI界面，基于matlab环境(Spectrum Analysis GUI interface, based on matlab environment)

用数值方法实现2FSK信号的相关型解调。采用的两个2FSK波形信号为：si(t)=cos(2πfit)，i=1,2,0≤t≤Tb。这里f1=1000/Tb, f2=f1+1/Tb。(Digital modulation.)

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.)

合成孔径雷达（SAR)目标成像仿真，LCMV优化设计阵列处理信号，通过matlab代码，已调制信号计算其普相关密度，利用自然梯度算法，包括调制，解调，信噪比计算。( Synthetic Aperture Radar (SAR) imaging simulation target, LCMV optimization design array signal processing, By matlab code, Modulated signals to calculate its density Pu-related, Use of natural gradient algorithm, Includes the modulation, demodulation, signal to noise ratio calculation.)

This function Compute the CIEDE2000 color-difference between the sample between a reference with CIELab coordinates Labsample and a standard with CIELab coordinates Labstd The function works on multiple standard and sample vectors too provided Labstd and Labsample are K x 3 matrices with samples and standard specification in corresponding rows of Labstd and Labsample The optional argument KLCH is a 1x3 vector containing the value of the parametric weighting factors kL, kC, and kH these default to 1 if KLCH is not specified.

1.Ty01 不同占空比，概率的双极性信号功率谱Matlab仿真 2.Ty02 HDB3编码仿真 3.Ty03 码间串扰仿真(1.Ty01 different duty cycles, the probability of a bipolar signal power spectrum Matlab simulation 2.Ty02 HDB3 encoder emulation 3.Ty03 crosstalk between simulation code)