Description: 基于时频分布的跳频信号分析研究，短时傅立叶变换，魏格纳分布，伪魏格纳分布，平滑伪魏格纳分布-Based on the distribution of time-frequency analysis of frequency hopping signals, short-time Fourier transform, Wigner distribution, pseudo-Wigner distribution, smoothed pseudo-Wigner distribution Platform: |
Size: 208896 |
Author:hehha |
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Description: 这个文件包含了正弦调频信号的魏格纳威利分布以及经过平滑和加窗后的伪魏格纳威利分布和平滑伪魏格纳威利分布-This file contains a sinusoidal FM signal of the Wigner distribution and Na Weili after smoothing processing window of the pseudo-Wigner-Na Weili smoothed pseudo-Wigner distribution and the distribution of Na Weili Platform: |
Size: 2048 |
Author:李海峰 |
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Description: 视频分析方法中的平滑伪Wigner-Ville分布等效于对WVD的结果在时域和频域分别进行一次平滑滤波，有效抑制交叉干扰。-Video analysis methods smoothed pseudo Wigner-Ville distribution is equivalent to the result of the WVD smoothing once were in the time domain and frequency domain, inhibit cross-interference. Platform: |
Size: 1024 |
Author:张楠 |
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Description: 第一部分是关于wigner-ville程序的三个源函数（wigner分布、伪wigner分布、平滑伪wigner分布）；第二部分是关于差分的一阶、二阶导数的子函数、源函数及表达仿真实例，这两部分都是matlab环境下源程序。-The first part is a function of three sources wigner-ville program (wigner distribution, pseudo wigner distribution, smoothed pseudo wigner distribution) the second part is about the first difference, the second derivative of the subroutine, the source function and expression simulation examples These two parts are the source matlab environment. Platform: |
Size: 3072 |
Author:陆杰 |
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Description: matlab时频分析，STFT, CWT，WVD，平滑伪WVD，伪WVD，Rihacazek分布，Margenau-Hill分布，Page分布，伪Page分布，Choi-Williams分布，重排伪Wigner-Ville分布， 重排伪page分布，对时频分析学习的很好资料，对非平稳信号处理有很大帮助，无损检测，振动检测，对学习和处理信号有很大帮助-Matlab time-frequency analysis, STFT, CWT, WVD, smoothed pseudo Wigner Ville distribution (WVD), pseudo WVD, the distribution of Rihacazek, Margenau Hill distribution, distribution page, pseudo page distribution, Choi Williams distribution, rearrangement of pseudo Wigner Ville distribution, rearrangement pseudo page distribution, time-frequency analysis of very good learning materials, for non-stationary signal processing is of great help, nondestructive testing, vibration testing of learning and signal processing is of great help Platform: |
Size: 166912 |
Author:孟祥吉 |
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Description: There a lot of time–frequency methods used for studying the time–frequency distribution of the nonlinear and non-stationary signal, such as short time Fourier transform (STFT) (Zhang and Bao, 1998), Wavelet transform (WT) (Hu et al., 2009), S-transform (ST) (Mohammad, 2009, Strockwell, 2007, Strockwell et al., 1996 and Wang and Orchard, 2009), Wigner–Ville distribution (WVD) (Chen, 2007 and Lokenath, 2002), smoothed pseudo Wigner distribution (SPWD) (Qiao, 2010), matching pursuit (MP) (Chen et al., 2007 and Stéphane and Zhang, 1993), adaptive optimum kernel time–frequency representation (AOK) (Douglas and Richard, 1995 and Liu et al., 2008), and so on. Each method mentioned above has its own advantages and disadvantages. Hilbert–Huang transform (HHT) proposed by Huang et al., 1996, Huang et al., -There are a lot of time–frequency methods used for studying the time–frequency distribution of the nonlinear and non-stationary signal, such as short time Fourier transform (STFT) (Zhang and Bao, 1998), Wavelet transform (WT) (Hu et al., 2009), S-transform (ST) (Mohammad, 2009, Strockwell, 2007, Strockwell et al., 1996 and Wang and Orchard, 2009), Wigner–Ville distribution (WVD) (Chen, 2007 and Lokenath, 2002), smoothed pseudo Wigner distribution (SPWD) (Qiao, 2010), matching pursuit (MP) (Chen et al., 2007 and Stéphane and Zhang, 1993), adaptive optimum kernel time–frequency representation (AOK) (Douglas and Richard, 1995 and Liu et al., 2008), and so on. Each method mentioned above has its own advantages and disadvantages. Hilbert–Huang transform (HHT) proposed by Huang et al., 1996, Huang et al., Platform: |
Size: 110592 |
Author:choigyuho |
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Search - Smoothed Wigner-Ville Distribution