mohuzuoyezhu

ATLAB an integral part of their study of Communication Systems topics and concepts. The books in this new series are designed to promote students problem solving and critical thinking skills through the use of MATLAB as a "virtual laboratory." A 3.5" disk containing supporting MATLAB data

水平集分割算法的C-V模型，matlab源代码(level set segmentation algorithm C-V model, the source code Matlab)

由于通常的通信信道的冲激响应的稀疏性，使得NLMS算法的收敛速度还有待提高。所以，近年来，有学者提出了成比例的归一化的均方误差算法(PNLMS)。PNLMS在自适应过程的开始阶段有着很快的收敛的速度，但是迭代过程越往后，收敛速度越慢。于是，众多学者提出了许多的改进算法。本程序是通过matlab仿真对近年来流行的PNLMS,IPNLMS,MPNLMS等算法进行的仿真程序(As usual communication channel impulse response sparse, making the convergence rate of NLMS algorithm to be improved. Therefore, in recent years, some scholars have proposed a proportional to the normalized mean square error algorithm (PNLMS). PNLMS the beginning of the adaptive process has a fast convergence speed, but the more backward iterative process, convergence slower. Thus, many scholars have made many improvements in algorithms. Matlab simulation of this program is popular in recent years PNLMS, IPNLMS, MPNLMS other algorithms of the simulation program)

David G. Stork，Richard O. Duda，Peter E. Hart《模式分类》Matlab程序工具箱，适合参考教材进行学习(David G. Stork, Richard O. Duda, Peter E. Hart " Pattern Classification" Matlab Toolbox program, suitable reference materials to learn)

在进行谐波抑制过程中，往往用指定次谐波算法来完成，该代码为3次谐波算法。(In process of harmonic suppression, often with a specified harmonic algorithm to complete, the code for three times harmonic algorithm. )

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

说明：  显著区域提取程序，比ITTI的有所提高，很好用。(Significant regional extraction procedure, compared with ITTI' )

some code yes it show it to rxtract accell ata and show it and that all folks hi pls do it

固定资产监测，内含源码，子函数，数字图像处理课程设计，参考冈萨雷斯的《数字图像处理MATLAB版》(Fixed asset monitoring, containing source, Functions, digital image processing course design, with reference to Gonzalez s Digital Image Processing MATLAB Edition )

simulation of communication systems and software defined radio from the book chapter 4