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[Other resourcehosa1

Description: 信号与系统基础知识包括连续信号与模型、离散信号与模型;常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等;离散系统结构包括IIR、FIR和Lattice结构;IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计,以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等;FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计;平稳信号分析包括经典功率谱估计、基于参数模型的功率谱估计和基于非参数模型的功率谱估计;非平稳信号分析包括STFT变换、Gabor展开、Wigner-Ville分布与Choi-Williams分布;非高斯信号分析包括基于非参数法的双谱估计、基于参数模型的双谱估计,以及双谱估计的应用;信号处理的GUI实现包括滤波器设计与分析的FDATool工具和滤波器设计与信号分析的SPTool工具。-signals and systems based on knowledge, including continuous signal with the model, discrete signal and model; Common signals include transform Z transform, chirp Z-transform, FFT transform. DCT and Hilbert transform; Discrete system architecture including IIR, FIR and Lattice structure; IIR filter design, including analog and digital low-pass, high-pass, band-pass and band stop filter design, Based on the impulse response of the same law and bilinear Z transform the IlR filter design; FIR filter design including on the basis of the window function, frequency sampling and snow all over the big approximation of FIR filter design; stationary signal analysis include classical power spectrum estimation, Based on the model parameters of the power spectrum estimation and non - parametric model b
Platform: | Size: 101182 | Author: james | Hits:

[MiddleWarehosa1

Description: 信号与系统基础知识包括连续信号与模型、离散信号与模型;常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等;离散系统结构包括IIR、FIR和Lattice结构;IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计,以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等;FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计;平稳信号分析包括经典功率谱估计、基于参数模型的功率谱估计和基于非参数模型的功率谱估计;非平稳信号分析包括STFT变换、Gabor展开、Wigner-Ville分布与Choi-Williams分布;非高斯信号分析包括基于非参数法的双谱估计、基于参数模型的双谱估计,以及双谱估计的应用;信号处理的GUI实现包括滤波器设计与分析的FDATool工具和滤波器设计与信号分析的SPTool工具。-signals and systems based on knowledge, including continuous signal with the model, discrete signal and model; Common signals include transform Z transform, chirp Z-transform, FFT transform. DCT and Hilbert transform; Discrete system architecture including IIR, FIR and Lattice structure; IIR filter design, including analog and digital low-pass, high-pass, band-pass and band stop filter design, Based on the impulse response of the same law and bilinear Z transform the IlR filter design; FIR filter design including on the basis of the window function, frequency sampling and snow all over the big approximation of FIR filter design; stationary signal analysis include classical power spectrum estimation, Based on the model parameters of the power spectrum estimation and non- parametric model b
Platform: | Size: 101376 | Author: james | Hits:

[matlabstft

Description: 对信号进行短时傅立叶变换以及Wigner-Ville分布分析的matlab程序-The signal short-time Fourier transform and Wigner-Ville distribution analysis matlab program
Platform: | Size: 1024 | Author: bosic | Hits:

[RFIDWigner---Will-

Description: 维格纳-威尔分布三维图面图,跳频信号的stft,跳频信号的维格纳-威尔分布的频谱图-Wigner- Will the distribution of three-dimensional surface maps, frequency hopping signal stft, frequency hopping signal Wigner- Will the distribution of spectrum
Platform: | Size: 586752 | Author: 追风人 | Hits:

[matlabNon_stationary_signal_analysis

Description: 非平稳信号分析。STFT变换及其MATLAB实现,Garbor展开、Choi-Williams分布、Wigner-Ville分布及其MATLAB实现。-Non-stationary signal analysis. STFT transform its MATLAB implementation, Garbor start, Choi-Williams distribution, Wigner-Ville distribution and its MATLAB implementation.
Platform: | Size: 6191104 | Author: cd | Hits:

[matlabtftb

Description: 时频工具箱,以上给了很多函数,但常用的基本就是短时傅里叶变换STFT、Wigner-Ville分布WVD、伪Wigner-Ville分布PWVD和提取瘠ridges、得到理想时频表示tfrideal。-Time-frequency toolbox over to a lot of functions, but the basic is commonly used short-time Fourier transform STFT, Wigner-Ville distribution WVD, pseudo-Wigner-Ville distribution PWVD and extraction barren ridges, when you get the ideal frequency representation tfrideal.
Platform: | Size: 1893376 | Author: 张彦 | Hits:

[matlabMATLAB-super-learning-program-code

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 | Hits:

[Software Engineering111

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 | Hits:

[matlabtfr--时频分析工具箱

Description: matlab时频分析工具箱,包含常用的时频分析算法,STFT,Wigner-Ville分布等,计算效率高,速度快。(Matlab time-frequency analysis toolbox, including the commonly used time-frequency analysis algorithm, STFT, Wigner-Ville distribution, computational efficiency, speed.)
Platform: | Size: 222208 | Author: WSpeng_1 | Hits:

[matlab时频分析工具箱

Description: 法国中央科学研究院和美国RICE大学共同开发了时频分析工具箱(matlab emd) 是一款非常好用的时频分析计算工具,它是分析时变非平稳信号的有力工具,matlab 时频分析工具箱提供了时间域与频率域的联合分布信息,清楚地描述了信号频率随时间变化的关系。 其中主要含有四种函数: 信号产生函数,可以产生不停类型的信号,如Chirp信号,bpsk信号等。 时频分析函数,可以计算线性、Cohen类、仿射类非线性分析值函数,例如短时傅里叶变换(STFT),Gabor变换,谱图,Wigner-Ville(WVD)等。 分析处理函数 图形显示函数,如等高线、三维图等。(Time-frequency analysis toolbox)
Platform: | Size: 2322432 | Author: 伪装者2 | Hits:

[matlabTime-Frequency Toolbox

Description: Time Frequency Toolbox matlab时频分析工具箱,里面有各种时频分析函数,用matlab实现的,小波变换,Gabor变化,短时傅里叶变换等等(AF Ambiguity function AR Auto-regressive (filter or model) ASK Amplitude shift keyed signal BJD Born-Jordan distribution BPSK Binary phase shift keyed signal BUD Butterworth distribution CWD Choi-Williams distribution FM Frequency modulation FSK Frequency shift keyed signal GRD Generalized rectangular distribution HT Hough transform MHD Margenau-Hill distribution MHSD Margenau-Hill-Spectrogram distribution MMCE Minimum mean cross-entropy NAF Narrow-band ambiguity function PMHD Pseudo Margenau-Hill distribution PWVD Pseudo Wigner-Ville distribution QPSK Quaternary phase shift keyed signal RID Reduced interference distribution STFT Short-time Fourier transform TFR Time-frequency representation WAF Wide-band ambiguity function WVD Wigner-Ville distribution ZAM Zhao-Atlas-Marks distribution)
Platform: | Size: 306176 | Author: fisher86 | Hits:

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