m_map1.4h

说明：  MATLAB小波分析与应用实例(第二版).应用于信号处理和图像处理的原理和基本方法，大量的示例可尽快地了解小波分析，而且在每种分析方法的介绍中同时介绍其问题背景，直接通过Matlab使用小波分析解决实际问题。 (MATLAB Wavelet Analysis and Applications (second edition). Applied to signal processing and image processing theory and the basic method, a large number of sample as soon as possible understanding of wavelet analysis, and analytical methods in each presentation also introduced the background of its problems, directly through Matlab using wavelet analysis to solve practical problems.)

documentclass{beamer} usepackage[frenchb]{babel} usepackage[T1]{fontenc} usepackage[latin1]{inputenc} usetheme{Warsaw} egin{document} egin{frame} Voici votre première page de présentation en LaTeX ! end{frame} end{document}

差分进化算法代码,请下载使用，很有学习价值，我已验证可以使用(Differential evolution algorithm code, please download, it is worth learning, I' ve verified that you can use)

在求解函数优化问题时，为了提升人工蜂群算法局部搜索能力，提出了一种新颖的混沌蜂群算法。(in order to improve the ability of artificial bee colony algotithm at exploitation, a novel chaos-artificial bee colony algorithm is proposed for continuous function optimization problems. )

QAM系统蒙特卡罗仿真，高斯Q函数，误差计算，图形分析，实验要求(QAM system Monte Carlo simulation, the Gaussian Q function, error calculation, graphical analysis, test requirements)

GCC-PHAT algorithm to calculate the maximum TDOA

％realize overlapped-save method ％y:output sequence ％x:input seqence ％h:filter impulse response sequence ％N:length of each segment ％重叠保留法实现分段卷积 ( Realize overlapped-save method y: output sequence x: input seqence h: filter impulse response sequence N: length of each segment overlap to retain sub-convolution method)

matlab下模糊函数工具箱的使用例程，详细解释了若干函数的用法(matlab toolbox under the ambiguity function of the use of routine, detailed explanation of a number of function usage)

说明：  块状导频的OFDM信道估计ofdmchannelest4为2008年本科毕业设计(Pilot block of the OFDM channel estimation ofdmchannelest4 for the 2008 design graduate)

信号系统实验软件，matlab编写，实现时域和频域，离散和连续的各种处理(Signal system experimental software, matlab writing, to achieve time-domain and frequency domain, a variety of discrete and continuous processing )