shoushishibie3

崭新矢量机SVM源码，IEEE上发表，技术有一定帮助(New vector machine SVM source, IEEE published, technology has certainly helped)

单载波频域均衡算法完整Matlab仿真程序(Single-carrier frequency domain equalization algorithm for a complete simulation program Matlab)

这个题目是利用人工神经网络实现对数字调制信号的识别，建立BP网络，并用matlab编程实现仿真。(This topic is the use of artificial neural network to realize the identification of digital modulation signal, the establishment of BP network, and realize simulation matlab programming.)

这部分代码主要实现了TURBO码的编解码，运用max-log-map译码方法进行译码(this code realise the encode and decode function of turbo,the decoding algorithm is by max-log-map)

说明：  三维点云曲率计算，计算网格的高斯曲率、平均曲率及主曲率(Curvature calculation of three-dimensional point cloud)

掌握用MATLAB编写LU分解法与PLU分解法的程序；(The preparation of master LU decomposition method with MATLAB and the PLU decomposition procedure)

说明：  本文在DCT噪声信号模型研究的基础上,提出了一种新的音频水印嵌入位置选择策略和一个应用该策略的自适应音频水印算法. 通过定义DCT系数的噪声敏感度,建立了水印嵌入位置和嵌入水印后的音频信号的听觉感知性之间的关系,根据音频水印的不可听性的要求选择最优的嵌入位置,然后调节水印强度来满足鲁棒性的要求,从而最大程度地保持音频水 印的不可听性和鲁棒性,为解决音频水印嵌入过程中不可听性和鲁棒性之间的矛盾提供了一种策略.(Though m any w orks in the literature agree that w aterm ark should be em bedded in the middle2fre2 quency coefficients or percep tually significant components, how to determ ine the position em bedded has no universal definition. A new em bedding strategy and an algorithm app lying the strategy are p roposed for audio w aterm arking in DCT dom ain based on research of DCT noise m odal. B y defining a noise sensitivity vector, a m ath relationship betw een the w aterm ark em beddable position and the audible quality of the audio file w ith w aterm ark is set up.)

自适应算法ＲＬＳ、ＬＭＳ算法在信道均衡中的应用仿真(The application of simulation of the adaptive algorithm RLS, the LMS algorithm in the channel equalization)

：介绍遣传算法的基本原理和Matlab的遗传算法优化工具箱(GAOT)，分析了优化工具函数。探讨Matlab遗传算法工具箱在 参数优化和非线性规划中的应用。通过优化实例，说明遗传算法是一种具有良好的全局寻优性能的优化方法。用Maflab语 言及Maflab语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比较灵活、编程效率高等特点。(: Removal algorithm introduce the basic principles and Matlab Genetic Algorithm Optimization Toolbox (GAOT), an analysis of function optimization tool. Explore the Matlab Genetic Algorithm Toolbox in the parameter optimization and nonlinear programming applications. Through optimization examples to illustrate the genetic algorithm is a good global optimization method to optimize performance. Maflab language and using language Maflab Optimization Toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency.)

decompression using the lifting