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Matlab code for OFDM for bpsk

Resources for Energy Efficient Mobile Sensing Research (conducted by Yi Wang)

粒子滤波器程序，应用了SIS方法和蒙特卡罗方法(particle filter codes，using SIS method and Monte Carlo method)

声纹识别MATLAB源程序全代码，可以用来做密码锁，声控装置。(Voiceprint identification of all MATLAB source code can be used to make locks, voice-activated device.)

本文将排课五要素绑定、封装成课元、课栈两个向量，并以二维权值矩阵描述课元 和课栈之间的关联系。 提出了最佳匹配和遗传算法的排课算法，以随机生成的二维数字矩阵来反映课元和 课栈的关联权重，对数字矩阵组处理和最佳匹配得到的匹配偶图组为遗传算法的初始种 群，以排课各种原则的加权和为目标函数，在遗传算子控制下迭代来寻求更优的匹配结 果即使目标函数最小的偶图匹配结构，进而得到满意的排课结果。 提出了关联匹配和禁忌搜索的排课算法，以随机二维数字矩阵描述课元和课栈之问 的关联权重，按照重权优先并根据正确性原则进行约简，获得课元和课栈之间的匹配偶 图。在此基础上，引入禁忌搜索算法，以排课的完备性原则、合理性原则和人性化原则 的加权和为目标函数，以随机二维权值矩阵生成的匹配偶图为初始解，对二维权值矩阵 进行扰动构成搜索邻域，以生成的匹配偶图为禁忌对象，采用全局藐视准则，获得最优 的排课方案。 以Matlab为平台，利用Excd数据库和Mallab的互联实现数据交换，编写了两套 算法的应用程序，通过实例来验证两套排课算法，结果表明两套算法是可行的。(Arranging the five elements of this paper, binding, packaging into a class element, class stack of two vectors and matrices described by two classes per Rights And the relationship between class stack link. Offers the best match and Genetic Algorithm Platoon algorithm to randomly generated two-dimensional figures to reflect the class element and matrix Class stack associated with weight, the digital matrix group received treatment and the best matching group bipartite graph matching the initial kind of genetic algorithm Group to the weighted course arrangement of principles and the objective function, under the control of the genetic operator iteration to seek the better match Results Results even if the objective function structure of the smallest bipartite graph matching, and then Timetabling satisfactory results. Match the proposed association Timetabling algorithm and tabu search, a random two-dimensional digital matrix element and the class description class stack of Q)

整数小波变换与图像压缩，逆变换源码，实现行、列逆变换，奇偶行列逆重排(Integer wavelet transform and image compression, inverse transform source code to achieve row, column inverse transform, rearrangement of odd and even ranks of the inverse)

g(x)=f(m,n,L), 其中,m,n,L均服从正态分布,分布情况也在所给的图中. 使用matlab,用蒙特卡罗模拟法 对该函数进行模拟,得出g(x)大于0的概率.(G (x) =f (m, N, L), of which, m, N, L are the normal distribution, distribution is also in the picture. The use of MATLAB, simulates the function by Monte Carlo method, the G (x) greater than 0 probability.)

里边包含了一个如何区分6和9的代码以及用最小距离法、梯度法以及K-NN方法对样本进行的分类代码(Inside contains an example of how to distinguish between 6 and 9, as well as the code with the minimum distance method, the gradient method and K-NN method for sample classification codes)

《matlab编程百例》光盘代码26-30("Matlab programming hundred cases" CD-ROM code 26-30)

windowed burg algorithm