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【Graph Drawing】 FT DL : 0: 通过加窗实现短时傅里叶变换使用母小波实现小波变换-stft and wavelet transform
Update : 2024-05-18 Size : 21504 Publisher : zhou
【Editor】 ITFA2 DL : 0: 基于STFT，重写的SST代码，并且对其进行了一定的改进，使其可以适用于强非平稳信号-Based on STFT, SST rewriting code, and it has been some improvement, it can be applied to a strong non-stationary signals
Update : 2024-05-18 Size : 17408 Publisher : 张玉雪
【Software Engineering】 lpc DL : 0: This MATLAB exercise computes the log magnitude of the STFT of a specified frame of speech. Then, using the same frame of speech, the exercise computes LPC log spectral matches to the speech frame, using the autocorrelation method, the covariance method, and the lattice method. The four resulting log magnitude responses ( the STFT of the speech frame and the three LPC analysis methods) are then plotted on a common plot, and compared in terms of how each LPC analysis method approximates the STFT log magnitude response. -This MATLAB exercise computes the log magnitude of the STFT of a specified frame of speech. Then, using the same frame of speech, the exercise computes LPC log spectral matches to the speech frame, using the autocorrelation method, the covariance method, and the lattice method. The four resulting log magnitude responses ( the STFT of the speech frame and the three LPC analysis methods) are then plotted on a common plot, and compared in terms of how each LPC analysis method approximates the STFT log magnitude response.
Update : 2024-05-18 Size : 2709504 Publisher : burak
【Special Effects】 MatlabSIFT DL : 0: STFT算法，用于图像处理中的图像配准。-STFT algorithm for image processing image registration.
Update : 2024-05-18 Size : 1908736 Publisher : 王薇
【Other】 timefrequence DL : 0: 高压断路器振动信号时频特征分析，STFT变换以及功率谱，matlab代码-High voltage circuit breakers，STFT
Update : 2024-05-18 Size : 1024 Publisher : lijianbin
【MacOS develop】 stfth DL : 0: 用于计算声音信号的短时傅立叶变换，默认情况下窗口重叠了50％，计算STFT三个窗口中的矩形并转化为声音信号。-To compute STFT three windows are available in this code Rectangular, Hamming and Hanning. By default window overlapping is set by 50 . One can easily compute the STFT of sound signals.Results are shown by imagesc & surf function in single window.
Update : 2024-05-18 Size : 2048 Publisher : wang
【Audio program】 STFT DL : 0: 数字信号处理的傅里叶变换与逆傅里叶变换经典实现，非常具有实用价值-Fourier transform and inverse Fourier transform of digital signal processing to achieve the classic, very practical value
Update : 2024-05-18 Size : 2048 Publisher : pudnt
【Software Engineering】 111 DL : 0: 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.,
Update : 2024-05-18 Size : 110592 Publisher : choigyuho
【matlab】 Median_filter_stft DL : 0: 基于STFT变换的Median滤波器函数，各参数有注释-Based on Median filter function STFT transform parameters annotated
Update : 2024-05-18 Size : 2048 Publisher : 王明
【matlab】 stsf DL : 0: stft short transform fourier transform
Update : 2024-05-18 Size : 1024 Publisher : fahime
【matlab】 Shipinfenxi DL : 0: 用于进行时频分析计算，需要运用到时频分析工具箱，压缩包里有工具箱及安装方法。时频程序包含短时傅里叶，魏格纳分布，伪魏格纳分布，光滑伪魏格纳分布。-Used for time frequency analysis and calculation, the need to use time-frequency analysis toolbox, compressed package has a toolbox and installation method. Time frequency program contains STFT、WVD、PWVD、SPWVD
Update : 2024-05-18 Size : 2309120 Publisher : 苏洵
【Voice Compress】 STFT DL : 0: 短时傅里叶变换，可以对采集的数据处理，读出信号包络-Short-time Fourier transform, processing the collected data can be read out of the signal envelope
Update : 2024-05-18 Size : 1024 Publisher : 黄倩
【matlab】 STFT_SWT_ST_matlab-files DL : 0: STFT和ST变换的基本函数，和一个stft的一个例程-This code computes the Stockwell transform (S-Transform) of a one dimensional series without for loop, thereby making it computationally fast and simple. S-Transform was proposed in 1996. A nice tutorial on S-Transform can be found here: djj.ee.ntu.edu.tw/S_Transform.pdf? File Information Description The present code is a Matlab function that provides a Short-Time Fourier Transformation (STFT) of a given signal x(n). The algorithm is similar to that of Matlab command “spectrogram”. The result is: 1) stft- a matrix with complex stft coefficients with time across columns and frequency across rows 2) f- frequency vector 3) t- time vector. swt Discrete stationary wavelet transform 1-D. swt performs a multilevel 1-D stationary wavelet decomposition using either a specific orthogonal wavelet ( wname see WFILTERS for more information) or specific orthogonal wavelet decomposition filters.
Update : 2024-05-18 Size : 4096 Publisher : zl
【matlab】 stft DL : 0: 关于短时傅里叶变换进行时间-频率分析的代码，用MATLAB编写的代码。-On short-time Fourier transform time- frequency analysis of the code, the code written in MATLAB.
Update : 2024-05-18 Size : 10240 Publisher : 筱玉
【Other】 TF-analysis DL : 0: 线性调频信号时频分析，自带自己写的STFT函数-FMCW TF analysis, STFT function
Update : 2024-05-18 Size : 2048 Publisher : xin fang
【matlab】 stft DL : 0: 短时傅里叶变化，有结果运行截图，适合初学者-Short-time Fourier transform, the results of running screenshots
Update : 2024-05-18 Size : 19456 Publisher : 桓茉莉
【matlab】 OLA DL : 0: 语音处理OLA算法的函数，stft，fft，窗长，抽取因子-Speech processing OLA algorithm function, stft, fft, window length, extraction factor
Update : 2024-05-18 Size : 1024 Publisher : 杜松
【Other】 chongqing-stft DL : 0: Update : 2024-05-18 Size : 1024 Publisher : vincent
【matlab】 STFTmatlab DL : 0: 利用短时傅里叶算法对语音信号进行分析和研究。-STFT analysis of speech signal
Update : 2024-05-18 Size : 1024 Publisher : huojian
【】 NFEA DL : 0: 张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature Extraction and Applications- Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials, epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and analysis, dimensionality of the data could be augmented due to expression of the data into sparse domain (time-frequency representation) by different transforms such as STFT, wavelets. That means data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze such data by considering them as vectors or matrices might be not suitable due to risk of losing the covariance information among various modes. To discover hidden multilinear structures, features within the data, the analysis tools should reflect the multi-dimensional structure of the data
Update : 2024-05-18 Size : 2438144 Publisher : 李新会

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