leitor de ecg

集合emd变换，近年来较为流行的时间序列分析方法(ensomble emd transformation, more popular in recent years, time series analysis)

积分方程的数值解（matlab代码）利用MATLAB求解积分方程的数值解问题(The numerical solution of integral equations (matlab code))

有关水声通信中基于OFDM的多普勒频移的估计与补偿(the underwater communication OFDM-based Doppler frequency shift and the estimated compensation)

从物理的角度看，音乐是不同频率，不同时长声波的组合，声波的频率表示不同的音调，声波的时长反映不同的节奏，根据该原理，将不同频率，不同时长的声波进行有序组合，则能成为音乐，利用MATLAB对不同频路信号的组合及分析功能，能够进行简单的音乐合成。(From a physical point of view, the music is different frequencies, not at the same time the combination of the long acoustic wave, the frequency of the acoustic wave which means that a different tone, sound waves reflect the length of time the type of rhythm, based on the principle of different frequencies, not at the same time long waves are conducted orderly composition, to become the music, using MATLAB combination of signals of different frequencies Road and analysis capabilities, able to perform simple music synthesizer.)

说明：  图像滤波实现中值滤波，自适应，对比结果，图像使用(Image filtering, median filtering, adaptive, comparative results, medical image use)

本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。(In this paper, and design implementation of a freely Offline handwritten numeral recognition system. First, identify the figure of the pre-processing treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the structural features of characters and stroke characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching to identify methods and MATLAB as a programming tool to achieve with a friendly graphical user interface of freely handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance.)

一维无序随机信号的小树变换处理，小树变换即treelet，是一种有效的高维的，无序的，杂乱的数据进行降维，特征提取的方法(One-dimensional disorder random signal processing, the saplings transform treelet tree transform namely, is a kind of effective high-dimension, disorder, messy data dimension reduction, feature extraction method)

不同的相邻分组数目v实现的pts抑制ofdm峰均比的算法,可以仿真出v越大,papr的性能越好()

说明：  本程序实现了粒子滤波基本算法。matlab代码。(failed to translate)

Toolbox in Matlab for pattern recognition