whitenv

了解MATLAB，能够熟练掌握数学（矩阵）运算，简单编程，简单的数据处理、符号运算及基本图形绘制.对MATLAB面向对象编程与simulink有基本了解。(Learn MATLAB, to master the math (matrix) operator, simple programming and simple data processing, symbolic manipulation, and basic graphics rendering. On simulink MATLAB object-oriented programming with a basic understanding.)

This file is regarding MATLAB, which describes the different models in MATLAB simulation or block which are present and useful for different applications.

mbedded Zerotrees of Wavelet transforms (EZW) is a lossy image compression algorithm. At low bit rates, i.e. high compression ratios, most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). The locations where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme.

就是用MATLAB绘制,一个颜色编码的混淆矩阵。(MATLAB is used to draw a color coded confusion matrix.)

matlab 的小波包分析（Wavelet packet analysis ）及例程(Wavelet packet analysis )

运筹学里的优化算法，源代码，而且经过matlab运行过了(Operations Research in the optimization algorithm, source code, and after a run Matlab)

MSK解调的新方法，除了差分解调，复数滤波器解调，提出了一种基于MSK信号特殊点FFT的实部或虚部比较判决的方法来实现MSK信号的数字解调。(MSK new method of demodulation, in addition to the differential demodulation, complex filter demodulation, this paper proposes a special point FFT based on MSK signal of real or imaginary part of comparative judgment method to realize the MSK signal digital demodulation.)

实现最小二乘滤波器，应用于雷达等信号中，包含实现功能的子程序和主程序(Achieve least-squares filters, used in radar and other signals, including the realization of the function and main subroutine)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

alpha稳定分布的函数。该分布是一种连续概率分布，其概率密度比高斯分布概率密度有更厚的拖尾，是一类适用范围很宽的随机信号模型，比高斯分布有更广泛的适用性。(Alpha stable distribution function. This distribution is a continuous probability distribution, the probability density are thicker than gaussian probability density trailing, random signal model is a kind of very wide application scope, has wider applicability than gaussian distribution. )