RayleighFading_generation

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

particle filter in matlab

matlab视频处理书籍，详细介绍了matlab下的视频处理(matlab video process)

介绍差分运算的工作原理以及每条线的对应连接等使用方法(Use Works introduce differential operation of each line and the corresponding connections)

最大信噪比的独立分量分析算法，一种噪声辅助数据分析方法,ML法能够很好的估计信号的信噪比。( SNR largest independent component analysis algorithm, A noise auxiliary data analysis method, ML estimation method can be a good signal to noise ratio.)

MATLAB 课本实例教程MATLAB 课本实例教程MATLAB 课本实例教程MATLAB 课本实例教程(MATLAB)

Its alamouti code calculating BER performance.

关于阵列天线的资料，适合初学者，不错的资料(Information about the array antenna, suitable for beginners, good information)

两点调制信号源的MATLAB生成，调制方式为CP4FSK，输出两路幅度可调的两点调制型号源(Two modulation signals to generate MATLAB sources, modulation for CP4FSK, the output rate of two-way adjustable two-point modulation type source)

自适应线性预测编码问题，计算LMS迭代时预测误差和系数误差的功率谱，绘出残余能量曲线和学习曲线(Adaptive linear predictive coding problem, when calculating the LMS iterative prediction error and coefficient error power spectrum, plotted the residual energy curve and learning curve)