codefromgreywithsvm

利用离散小波对图像进行压缩的matlab源程序(Use of discrete wavelet image compression matlab source)

在Matlab应用系统中，创建数据文件，得到符合要求的界面(in Matlab Application System to create data files, to be compliant interface)

A direct search method instead of a coordinate descent iterative LMI algorithm

用matlab实现fec中丢失率和误码率-Using matlab to achieve fec loss rate and bit error rate in

联合信道功率选择穷搜算法 给定信道功率策略数和节点数目下，遍历得出最优(joint channel and power selection exhaustive search)

说明：  是矢量控制的仿真，用matlab6.5做得(Simulation of vector control is used to do matlab6.5)

MUSIC算法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算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

teager能量算子MATLAB代码，应用于信号分析(Teager Energy Operator MATLAB Code)

MATLAB语言程序与设计，本文拟用MATLAB编写应用程序来精确处理测量热敏电阻温度特性得到的数据 (MATLAB language program and design, this article intends to write applications using MATLAB to deal with measurement precision thermistor temperature characteristics of the data)

De Smedt et al 2005, Analytical Solution for transient storage modeling