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ZX_TFPF

于 2012-04-11 发布 文件大小:1KB
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下载积分: 1 下载次数: 55

代码说明:

  基础时频峰值滤波程序,为初学者提供参考。(Based time-frequency peak filtering procedures, and provide a reference for beginners.)

文件列表:

ZX_TFPF.m,897,2012-03-31

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  • wavelet_.M
    一维信号的小波去噪,这是一个很好的基于小波变换的小波去噪,是针对一维的,去噪效果非常好!(1DWT wavelet denoide)
    2015-09-22 19:57:53下载
    积分:1
  • thresholdHSI
    采用小波变换的方法实现心电信号的滤波,分别使用了硬阈值、软阈值和改进阈值方法,并实现了滤波效果的评价(均方差和信噪比)(Wavelet transform of ECG signal filtering method, respectively, using a hard threshold and soft threshold and improve the threshold method, and to achieve the filtering effect of the evaluation (both variance and signal to noise ratio))
    2011-07-23 11:03:55下载
    积分:1
  • bpskd
    使用matlab实现的BPSK信号产生和加入噪声前后的频谱对比以及FFT测频和一阶差分法测频对比(Using matlab to achieve the BPSK signal generator and adding noise before and after the spectrum contrast and FFT frequency measurement and first-order differential method to measure the frequency contrast)
    2012-11-07 23:11:33下载
    积分:1
  • stran
    说明:  基本的S变换matlab实现 用于时频分析 为初学者提供基本代码(S transformation for time-frequency analysis to provide basic code for beginners)
    2021-01-13 16:38:48下载
    积分:1
  • STFT_and_wavelet
    用matlab实现的短时傅里叶变换和小波变换。有文档(Using matlab to achieve short-time Fourier transform and wavelet transform. A document)
    2011-06-26 20:21:51下载
    积分:1
  • Wavelet_OMP
    用小波变换和OMP重构的压缩感知算法来重构lena图像。(CS Algorithm with DWT and OMP。)
    2020-12-23 15:19:07下载
    积分:1
  • waveletdecomposition
    a matlab code for applying wavelet decomposition usuful for compression schema
    2010-11-07 04:50:36下载
    积分:1
  • dbconstruction
    任意阶daubechies小波函数的构造,包括尺度函数和小波函数以及滤波器系数的构造(arbitrary order PG wavelet function, including scaling function and wavelet function and the structure of the filter coefficients)
    2020-11-10 20:19:45下载
    积分:1
  • Ahybridwaveletanalysisandsupportvectormachines
    一篇不错的智能算法结合小波的论文,非常不错的论文(goodpapersaboutwaveletandintelligencealgorithm)
    2009-02-04 11:50:16下载
    积分:1
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    生成高斯波形脉冲,并求解高斯脉冲的自相关结果(Gaussian pulse waveform is generated, and solve the results of Gaussian pulse autocorrelation)
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