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对随机序列进行（7,4）汉明码编码，经过bpsk调制解调，然后译码，最后绘出信噪比与误码率的关系曲线(Random sequences (7,4) hamming code encoding, after bpsk modem, and then decoding, and finally draw the signal to noise ratio and bit error rate curve)

the matlab toolbox of nspca

关于MATLAB的一些应用实例，我同学编的，大家可以看一下-(About some application examples of MATLAB, my classmates series, we can look at-)

使用MAtlab演奏最炫民族风，真的可以听到音乐哦。(Use MAtlab played most unusual national wind can really hear the music, oh.)

说明：  光谱的中心化处理算法去除一些噪声信息，使建模更精确稳定。(The center of spectral processing algorithms to remove some noise information, so that more accurate modeling stability.)

数字无线通信系统之有码间干扰的BPSK调制与解调MATLAB仿真(digital wireless communication systems are inter-symbol interference BPSK modulation and demodulation MATLAB)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

本程序为EMD分解程序，包含子程序，可直接运行(EMD decomposition process)

shape from shading with source code of matlab

sepia filter on image sepia.m