digital comm

精通matlab，教你如何使用matlab。(Proficient in matlab, teach you how to use matlab.)

基于C++程序语言的UDF全英文使用手册(UDF mannual)

Calendar content provider. The contract between this provider and applications.

monte_carlo法求解非线性规划，有中文注释，可以参考学习(monte_carlo method for solving nonlinear programming, a Chinese comments, you can refer to learning)

介绍决策的基本理论、多目标最优化基本概念、求解非劣集的方法、有总体选好信息的求解方法、基于局部选好信息的交互式方法、 多属性问题求解方法、模糊多目标优化问题等(Introduced the basic theory of decision-making, multi-objective optimization of the basic concepts, methods of solving the non-inferior set, overall selected method for solving the local selecting information-based interactive, multi-attribute problem solving method, fuzzy multi-objective optimization problem wait)

FMCW调频连续波雷达的测距测角，基于分段非线性权重值的Pso算法，模拟数据分析处理的过程。( FMCW frequency modulated continuous wave radar range and angular measurements, Based on piecewise nonlinear weight value Pso algorithm, Analog data analysis processing.)

这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，通过比较概率大小判断一个体重身高二维向量代表的人是男是女，放入决策数组中。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Bayesian classifier )

分割插值去除金属伪影的matlab程序。meanshift分割 样条插值(Removal of metal partition interpolation matlab program artifacts. Spline Interpolation meanshift partition)

JBEAM-soft is a software package written in MATLAB. It was used to generate the simulation results, as well as figures, in paper "JBEAM: multiscale curve coding via beamlets" by X. Huo and Jihong Chen. This paper will appear in IEEE Trans. Image Processing, 14 (11), in November 2005

ldpc码matlab实现，恩，应该很好吧(ldpc matlab)