mySVPWM.mdl

psk调制，给出了不同抽样速率和信噪比下的仿真结果(psk modulation, given the different sampling rate and SNR of the simulation results)

remove noise from multiple noisy images

基于Matlab对一些简单通信系统进行仿真的说明(Matlab based on some simple instructions communications system simulation)

学习APF过程中的读书笔记和MATLAB仿真模型(Reading notes and MATLAB simulation models in learning APF process)

程序的主要功能是做了一定范围的信噪比下，对每个信噪比：随机信号QPSK调制； 根据Alamouti方案的矩阵进行编码；发送信号经过瑞利信道和加入高斯白噪声； 接收信号采用最大比合并的方法；最后对合并信号进行最大似然判决并求误符号率。 结果表明10^-3对应大约12->13dB(Procedure main function is to do a certain range of SNR for each signal to noise ratio: random signal QPSK modulation program in accordance with Alamouti coding matrix send signals through Rayleigh channel and adding Gaussian white noise received signal using maximal-ratio combining method Finally the combined signal and the maximum likelihood decision for symbol error rate. The results showed that about 10 ^-3 corresponds to 12-> 13dB)

this is Adaline Neural network in matlab.

说明：  PM MUSIC ESPRIT 算法性能比较(Performance comparison of PM music ESPRIT algorithm)

计算水平地震作用的一个算例，适合初学者,希望对大家有所帮做。(it s so useful for fressman. )

The receiver performance is quantified by depicting the receiver operating char- acteristics (ROC) curves. This curves serve as a tool to and study the performance of a sensing scheme. ROC graphs are employed to show trade-of vs between detection probability and false alarm rates, (i.e. PD versus PFA), thus allowing the determination of an optimal threshold. To illustrate the performance of energy detectors, we generate complementary ROC curves (the average probability of miss detection $ P_{md} 1 - P_d$ versus the false alarm probability $P_f$ for different receiver structures and in different fading environments.Fig. 1 illustrates the complementary ROC curves for a single channel reception (no diversity) over AWGN channels. This figure depicts the complementary ROC curves for energy detectors.

GUI CREATING IN MATLAB EASY AND FAST