EMBC09_mmarkaki_stylianou-(4)

Code to find speech ending using rabiner method

说明：  实现图像旋转功能，针对医学磁共振图像的放转，Matlab编写(Achieve image rotation function, in view of the medical magnetic resonance images of the release switch, Matlab prepared)

matlab在线听音乐程序源码 可供研究(listening music online by matlab)

相控阵系统学习，包含线阵和矩形面阵的仿真，非常有参考价值。(Simulation learning of Phased array system learning,includeing linear and rectangular array，which is very valuable.)

its a matlab program ~~~~~ you can do tit

由于Kalman 滤波算法将被估计的信号看作在白噪声作用下——个随机线性系统的输出， 并且其输入输出关系是由状态方程和输出方程在时间域内给出的， 因此这种滤波方法(Because of Kalman filtering algorithm will be estimated as the signal in white noise-a random under the action of linear systems, and its output input and output relationship is by the state equation and output equation in time domain are within the, so the filtering method )

此文件包含了法国人Gabriel Rilling编写的EMD，EEMD和CEEMD的程序，有例子还有相关的一篇文献。(This file contains the EMD, written in French Rilling Gabriel EEMD and CEEMD program, is one of the examples and related literature.)

说明：  用matlab程序模拟实现cdma系统的整个过程。包括并串、串并转换，m序列的产生，直接扩频、解扩，qpsk的调制解调，载波调制解调等。(Matlab program is used to simulate the whole process of CDMA system. It includes parallel serial, serial parallel conversion, m-sequence generation, direct spread spectrum, despreading, QPSK modulation and demodulation, carrier modulation and demodulation, etc.)

1/2卷积编码的硬判决实现，加awag噪声，bpsk调制·(1/2 convolutional coding realize the hard decision, Canada awag noise, bpsk modulation)

本论文的主要内容包含以下几个方面: 首先，论述了图像融合技术的基本理论、现状和方法，并对多聚焦图像融合 算法及融合结果的评价方法做了分类。 其次，论述了小波理论及其图像的小波分解和重构，研究了小波分解层数及 小波基函数的选择对多聚焦图像融合效果的影响，并给出了在多聚焦图像融合算 法中最佳小波分解层数和小波基函数的选取 再次，研究了基十小波变换的多聚焦图像融合方法，并提出了改进后的基十 小波变换区域对比度的多聚焦图像融合方法，并利用Matlab工具进行算法进行了 仿真实验 最后，总结本论文的研究成果和不足，并指出发展方向。(The following main parts are included. Firstly, this paper discussed the basic theory, present state and means of image fusion technology, classified multi-focus image fusion algorithm and evaluation means of image fusion consequences. Secondly, this paper discussed the wavelet theory and the wavelet decomposition and reconstruction of image, studied the effects on selection of wavelet basis function and wavelet decomposition level to multi-focus image fusion, at last the best choices are proposed. Thirdly, a new method: regional contras of wavelet transformation are proposed for multi-focus image fusion based on wavelet transformation and Matlab is employed to simulation algorithm Finally, this paper summarized the research achievement and insufficient of this paper and pointed out development direction. )