modified-jakes-working

这里给出了改进了OMP算法的matlab代码，相信能给大家带来一定的帮助(Here are the improvement of the OMP algorithm matlab code, I believe could bring some help)

基于多输入多输出单载波频域均衡信道估计的正交循环序列(Circular Orthogonal Sequences Based Channel Estimation for MIMO SC-FDE Systems)

MATLAB实现简单矩阵中模拟光线的随机游走(MATLAB matrix simple random walk simulation of light)

本设计主要对4PSK调制方式的信号，利用MATLAB的m文件进行最佳接收机的设计与仿真。对输入的叠加噪声的4PSK调制信号进行接收，利用相关解调器来实现信号解调，及最大似然准则来实现检测器。在相关解调器中，接收信号分别与基函数 和 相乘再积分。在检测器中，利用相位来判断输出，从而最终得到接收的数据。采用随机二进制数通过4PSK调制后叠加高斯白噪声再对设计的接收机进行测试，从测试的结果可看出，在信噪比大于-8dB时，误码率为0，说明该接收机较好的实现了抗噪声性能。(The design of the main 4PSK modulation mode of the signal, the use of MATLAB m file for the best receiver design and simulation. The 4PSK modulated signal of the input superimposed noise is received, and the demodulator is realized by the relevant demodulator, and the maximum likelihood criterion is used to realize the detector. In the associated demodulator, the received signal is multiplied by the basis function and multiplied by the basis function. In the detector, the output is judged by the phase, and finally the received data is obtained. Using the random binary number through 4PSK modulation after the superposition of white noise and then the design of the receiver to test the test results can be seen in the signal to noise ratio greater than-8dB, the bit error rate is 0, indicating that the receiver is better The realization of the anti-noise performance.)

说明：  硬阈值去噪的MATLAB算法实现 源程序代码(MATLAB hard threshold denoising algorithm source code)

The code assembles various member stiffness matrices of a Q-4 element

scalar quantization of image and communication over erassure channel and error removal

双向PCS控制仿真，DC-DC部分采用定功率单环控制，DC-AC采用Udc-Q解耦控制，系统直流电压由后级DC-AC实现稳定控制(bi-direction PCS control simulation, DC-DC part using single-loop control, DC-AC part using Udc-Q decoupling control. )

说明：  小波包分解程序，小波基函数db5进行三层分解(Wavelet packet decomposition program, wavelet basis function db5 for three-level decomposition)

阵列信号处理，前向平滑 原创啊。。。。。。。(Array signal processing, prior to the smooth original ah. . . . . . .)