ldpc-ofdm

传统的MVDR算法上加约束能够产生宽零陷，从而抑制动态干扰(In traditional MVDR algorithm, adding constraints can produce wide nulls, thus restraining dynamic interference)

说明：  QPSK调制仿真与分析，使用matlab仿真实现QPSK相干调制与解调，通过AWGN信道，画出误比特率曲线(Generate digital baseband signal, add AWGN Gaussian white noise to transmit in the channel, detect the original baseband signal, draw theoretical and simulation error rate curve, QPSK modulation simulation and analysis, use matlab simulation to realize QPSK coherent modulation and demodulation, draw error rate curve through AWGN channel)

ML Estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples MLEsim.m (ML Estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples MLEsim.m)

只是在闲暇时发现网络上面根本就没有完全公开或者使用方便的程序,(Is only found in your spare time on the network did not fully open or easy to use program,)

说明：  1、基带码型仿真 （1）通过仿真观察占空比为50%、 75%以及100%的单、 双极性归零码波形以及其功率谱，分析不同占空比对 仿真结果的影响。 （2） 通过仿真产生一随机消息码序列，将其分别转换为 AMI码和HDB3码，观察它们的波形及其功率谱密度。 2、数字带通调制系统仿真 设计一个采用2ASK（ OOK） 调制的数字通信系统： 产生二进制随机数据，并仿真其对应的2ASK调制波形， 分析其频谱。所产生的调制波形加入不同信噪比的白噪声， 选取合适的接收方案，画出系统误码率曲线，并与理论误 码率进行对比。(1.Baseband pattern simulation 2. Simulation of digital band-pass modulation system)

for entropy H = entropy(S) this command will evaluate the entropy of S, S should be row matrix H = entropy([X Y Z]) this command will find the joint entropy for the 3 variables H = entropy([X,Y],[Z,W]) this will find H(X,Y/Z,W).. you can use it for any combination of joint entropies Please validate this function before using it

MIMO-OFDM信道估计中对不同信道的对比(MIMO-OFDM channel estimation for different channel contrast)

vc++串口通信 ，可以实现两个串口之间发送字符串(vc++ serial communication between two serial ports that can send a string)

主要是基于mtlab的程序，MinkowskiMethod算法 ,matlab实现了五类灰色关联度模型的计算。( Mainly based on the mtlab procedures, MinkowskiMethod algorithm, matlab implements five gray correlation degree computing model.)

A simulator for wireless sensor networks using omnet ++ framework