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通过仿真得到 信号误码率与信噪比的关 系, 从而为实际中 调制和解调 系统设计提供一定的理论依据。 同时 , 通过仿真技术的探讨 , 以期能为 专业教学改革提供一些新的思路(Received signal through the simulation bit error rate and SNR, in order to practice the design of modulation and demodulation system to provide a theoretical basis. At the same time, the adoption of simulation technology with a view to a professional teaching reform to provide some new ideas)

本段Matlab是运动员心跳信号检测项目一个心跳信号出噪仿真程序，文件给出了心跳信号的样本，是一完整的数字信号处理应用程序。(This paragraph is an athlete heartbeat detection Matlab project a heartbeat out noise simulation program, document gives a sample of the heartbeat is a complete digital signal processing applications.)

说明：  (径向基函数)神经网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等(rmf netural network matlab)

这是关于智能控制及其MATLAB实现的一本电子书，希望喜欢(This is on the intelligent control and its MATLAB realization of an e-book, hoping like)

This example descibles background subtraction algorithm. video was recorded at sanfrancisco

It is a speckle noise filter using median-average-mean filter. it will remove the speckle noise from images this filter is based on a proposed technique in a paper

说明：  处理数据中有很好的应用，里面有验证函数，可以进行验证。(Processing data has a good application, there are validation functions, can be validated.)

实现多假设跟踪(MHT)算法的MATLAB程序包. 程序使用了Murty提出的求出二分图匹配前N个最优解的算法.(MATLAB implementation of Multi-hypothesis tracking (MHT) algorithm. )

说明：  该程序为用MATLAB编写的一个小波变换工具箱，跟之前的toolbox1程序包实现的功能有所不同(The program prepared for the use of a MATLAB toolbox wavelet transform with the package before toolbox1 function to achieve different)

说明：  基于局部傅里叶变换数据的重构算法的研究,是一种比有效快速的重构算法(New features: Switched to complex computation, fully compatible with complex data Replaced penalty parameter continuation by R. Glowinski and P.L. Tallec s alternating direction method (ADM or ADMM) New parameter/data normalization was added to make parameters rather independent of the image size, pixel intensity range, and number of CS measurements. To find the parameters aTV and aL1 for version 2.0 corresponding to those used in versions 1.1 or 1.0, see Lines 60, 66, and 67 of RecPF.m. )