DQPSK

Rayleigh fading channel is simulated is the attachment.

作业题 就是说matlab中的常微分方程问题，是有ode45(operations that Matlab is the ordinary differential equations, have ode45)

MATLAB设计的低通滤波器中的自动生成的C语言头文件,是FIR数字滤波器。(C language header files automatically generated in the MATLAB design of low-pass filter is a FIR digital filter.)

用Matlab编写的关于Volterra级数算法的程序，有正在研究Volterra级数的可以看看并提出改进意见，THk(Using Matlab prepared on the Volterra series algorithm procedures, there are studies Volterra series can look and suggest improvements, THk)

ekf与UKF算法的MATLAB源代码,其中的例子是以stewart六自由度并联机构展开的。(The matlab codes about extended kalman filter and unscented kalman filter， and the demo is about 6 degree of freedom stewart parallel manipulator)

分支定界 MATLAB编程 分支 定界 剪枝 取整数解(Branch and bound MATLAB programming branch and bound pruning rounded solution)

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

通过下面的MATLAB语句可以求解LQG问题，得出LQG控制下的系统响应(By the following MATLAB statement can be solved LQG problem, obtain the system response under LQG Control)

说明：  matlab牛顿迭代方法,上机试验对于初学者又很大的帮助,简单易懂(Matlab Newton iterative method, the pilot on the plane for beginners also very helpful and easily understood)

用MATLAB来实现图像融合的一个简单例子。(Image fusion using MATLAB to implement a simple example.)