signal-analysis

matlab training power point

数据降维算法 K_L变换是一种最优正交变换，以矢量信号X的协方差矩阵Ф的归一化正交特征矢量q所构成的正交矩阵Q，来对该矢量信号X做正交变换Y=QX，则称此变换为K-L变换（K-LT或KLT）。(Data reduction algorithm K_L optimal orthogonal transform is a transformation to vector signal covariance matrix Ф X normalized orthogonal feature vector composed of q orthogonal matrix Q, to be orthogonal to the vector signal X transformation Y = QX, called the KL transform transform (K-LT or KLT).)

针对多个通道canny边缘检测然后进行融合的算法(For multiple channels canny edge detection algorithm is then fused...)

This matlab code helps to track color using matlab algortihm. this is a image processing programming code to develop automatic color detection applications.

说明：  Matlab编写的压缩感知的库函数，包括稀疏分解和重构。(Written in compressed sensing Matlab library functions, including the sparse decomposition and reconstruction.)

说明：  本文对指纹特征点的提取，特征点的匹配，用matlab进行了实现(In this paper, the fingerprint feature points extraction, feature point matching, was realized with matlab)

提供HSMM隐半马尔科夫的前向后向算法。可用于模式识别(Hidden semi-Markov providing HSMM back to the first algorithm. Can be used for pattern recognition )

An all-optical regeneration scheme for DQPSK and QPSK signals using phase-sensitive amplifiers (PSAs) is studied and its effectiveness is investigated through numerical simulations. By leveraging the ability of PSAs to provide phase and amplitude regenerative amplification, we show significant simultaneous suppression of both phase and amplitude noises of (D)QPSK signals under optimized conditions. The reduction in the phase noise variance of a noise-corrupted DQPSK signal obtained by one such regenerative amplification can be as large as 5.5 folds, showing its good potential for distributed optical regeneration of (D)QPSK signals.  2008 Elsevier B.V. All rights reserved.

Generalized program for calculation of BER for various wireless system

本文件包含Crank Nicolson算法的matlab源代码，在一定的初始条件下有一定的实用性。(This document contains the Crank Nicolson algorithm matlab source code, under certain initial conditions have a certain practicality.)