tspwt

产生2ASK、4ASK、8ASK的m文件和产生的mat格式的数据文件。(Generated 2ASK, 4ASK, 8ASK of m documents and produced mat format data files.)

ICP算法，matlab源程序。可以实现立体数据间的配准(ICP algorithm, matlab source. Registration can be achieved between the three-dimensional data)

该程序产生MSK和GMSK复基带信号，并在同一图中作出二者的功率谱，对处理实际信号时非常有帮助(The complex base signals of MSK and GMSK are produced, respectively. The power spectral density of the two signals are darwn in the same figure, which really helps for pratical signal processing)

Spread Spectrum Watermarking MATLAB

小波分析基本程序及交叉小波计算,小波功率谱、小波相干谱(wavelet and crosswavelet)

比较了匹配滤波器和FFT对信号的处理效果的异同！(Comparison of the matched filter and FFT signal processing effects on the similarities and differences!)

说明：  认知无线电中基于能量检测的频谱检测方法，matlab实现！(Energy dection,in Cognitive Radio,program by matlab)

现代数字通信系统中的各种调制技术的和高斯白噪传输的matlab实现。(Modern digital communication systems in a variety of modulation techniques and transmission of Gaussian white noise matlab achieve.)

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. )

Robust stability can be investigated in the frequency domain, using the Nyquist stability criterion, defined in section