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202

于 2007-03-13 发布 文件大小:2KB
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  1、求冲激函数、阶跃函数及三角函数的小波变换 2、模极大值曲线 3、求它们的李氏指数(one, seeking impulse function, step function and trigonometry two wavelet transform, modulus maxima curve 3, Lee seeking their index)

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254785
......\202
......\...\202.m
......\...\新建 文本文档.txt

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    matlab计算haar 小波各级近似系数和细节系数的频率响应(CA1,CD1,CA2,CD2,CA3),并画出幅频图,便于理解小波变换的意义,(U191 u7197 u5c1 u5c1 u5Fc1 u4Fc u653 u564C u548C u7286 u8282 u7CFB u6570 u7684 u9891 u54CD u5E94 uFF08CA1 uFF0CCD1 uFF0CCA2 uFF0CCD2 UFF0CCA3 uFF09 uFF0C u5E76 u753B u51FA u5E45 u9891 u56FE uFF0C u4FBF u4E8E u7406 u89E3 u5C0F u6CE2 u53D8 u6362 u7684 u610F u4E49 uFF0C)
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    2011-04-22 09:19:59下载
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  • Imagefusion
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    基于小波变换的ECG信号去噪系统设计,在信号采集时,身体的任一微小运动都会产生“基线漂移”,这是一种低频干扰,同时,由于肌电的存在又产生了高频的肌电噪声,由于空间电磁场的存在又使心电信号中混有50Hz的工频干扰。这些噪声不去除,就会影响下一步的信号处理。 综合运用数字信号处理的理论知识进行生物医学信号增强系统设计,实现ECG信号的去噪,从而加深对小波变换及其应用的理解,建立概念多分辨分析的概念,加深理解信号增强的原理、方法和步骤。本设计的主要内容是设计一个基于小波变换的ECG信号去噪系统,实现ECG信号的去噪。 (ECG signal denoising based on wavelet transform system design, signal acquisition, any small movement of the body will have a " baseline drift" , which is a low-frequency interference, while the high frequency due to the existence of the EMG muscle electrical noise due to the presence of electromagnetic field and the ECG signal mixed with a 50Hz power frequency interference. The noise is not removed, it will affect the next step in the signal processing. Use the theoretical knowledge of digital signal processing for biomedical signal enhancement system design to achieve the de-noising of ECG signal, so as to deepen understanding of the wavelet transform and its applications, to establish the concept of multi-resolution analysis of the concept, deepen the understanding of signal enhancement of the principle, the method and steps. The main elements of this design is the design of an ECG signal denoising based on wavelet transform denoising the ECG signals.)
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  • matlab程序
    小波变换(wavelet transform,WT)是一种新的变换分析方法,它继承和发展了短时傅立叶变换局部化的思想,同时又克服了窗口大小不随频率变化等缺点,能够提供一个随频率改变的"时间-频率"窗口,是进行信号时频分析和处理的理想工具。它的主要特点是通过变换能够充分突出问题某些方面的特征,能对时间(空间)频率的局部化分析,通过伸缩平移运算对信号(函数)逐步进行多尺度细化,最终达到高频处时间细分,低频处频率细分,能自动适应时频信号分析的要求,从而可聚焦到信号的任意细节,解决了Fourier变换的困难问题,成为继Fourier变换以来在科学方法上的重大突破。(Wavelet transform (WT) is a new transform analysis method. It inherits and develops the idea of localization of short-time Fourier transform and overcomes the shortcomings that window size does not vary with frequency. It can provide a frequency-dependent The Time-Frequency window is ideal for time-frequency analysis and processing of signals. Its main feature is that by transforming some features that can fully highlight some aspects of the problem, the localization of the time (space) frequency can be analyzed, and the signal (function) can be gradually and multi-scale refined by the scaling operation, finally reaching the high frequency Time subdivision, frequency subdivision at low frequencies, can automatically adapt to the requirements of time-frequency signal analysis, which can focus on any details of the signal to solve the difficulties of Fourier transform has become a major breakthrough in the scientific method since Fourier transform.)
    2018-03-05 14:32:13下载
    积分:1
  • WMAX
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    2008-05-05 12:56:06下载
    积分:1
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