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[source in ebooktimefrequencyanalysis

Description: 短时fourier变换 tfrstft计算离散信号x(t)-Short-time fourier transform discrete signals tfrstft computing x (t)
Platform: | Size: 2048 | Author: yangjx | Hits:

[Waveletstft

Description: 一维向量的离散短时Fourier变换函数。函数名:stft,输入:要处理的一维数组,加窗:矩形窗,窗口宽度:20。-One-dimensional vector of discrete short-time Fourier transform function. Function name: stft, enter: To deal with the one-dimensional array, plus a window: rectangular windows, window width: 20.
Platform: | Size: 1024 | Author: 高言 | Hits:

[AI-NN-PRshijianxulie

Description: 时间序列的时频特性分析研究时间序列的傅里叶变换及逆变换,快速梅林变换及逆变换,短时离散傅里叶变换,得到瞬时频率。 研究时间序列的Born–Jondan时频分布图,Butterworth时频分布图,Choi–Williams时频分布图,得到瞬时频率。 -Time series analysis of time-frequency characteristics of time series of Fourier transform and inverse transform, the fast Mellin transform and inverse transform, short time discrete Fourier transformation, the instantaneous frequency. Of time series of Born-Jondan time-frequency distribution, Butterworth frequency distribution, Choi-Williams time-frequency map, get instantaneous frequency.
Platform: | Size: 15360 | Author: 李倩 | Hits:

[OtherWavelet_Toolware_Software_for_Wavelat_Training.ra

Description: Wavelet Toolware is a companion software package to the book An Introduction to Wavelets by Charles K. Chui. It is designed for the reader to gain some hands-on practice in the subject of wavelets. The objective is to provide basic signal analysis and synthesis tools that are flexible enough for the reader to easily increase the capability of the Toolware by adding processing algorithms to tailor to specific areas of application. Wavelet Toolware contains, among other algorithms and codes, the one-dimensional (1-D) and two-dimensional (2-D) Discrete Wavelet Transforms (DWTs) and their inverse transforms, as well as computations of the Continuous Wavelet Transform (CWT) and the Short Time Fourier Transform (STFT).-Wavelet Toolware is a companion software package to the book An Introduction to Wavelets by Charles K. Chui. It is designed for the reader to gain some hands-on practice in the subject of wavelets. The objective is to provide basic signal analysis and synthesis tools that are flexible enough for the reader to easily increase the capability of the Toolware by adding processing algorithms to tailor to specific areas of application. Wavelet Toolware contains, among other algorithms and codes, the one-dimensional (1-D) and two-dimensional (2-D) Discrete Wavelet Transforms (DWTs) and their inverse transforms, as well as computations of the Continuous Wavelet Transform (CWT) and the Short Time Fourier Transform (STFT).
Platform: | Size: 3453952 | Author: sawssenj | Hits:

[Special Effectstfristft

Description: 令x(n)=5exp(j*0.15*n*n)+6exp(j*300n-j*0.15*n*n) ,w(n)为高斯窗函数。试用matlab软件,取不同长度的窗函数,分别求x(n)离散短时傅里叶变换,并进行信号重构。-ORDER x (n) = 5exp (j* 0.15* n* n)+6exp (j* 300n-j* 0.15* n* n), w (n) for the Gaussian window function. Trial Matlab software, take different lengths of the window function x (n), respectively, seek to discrete short-time Fourier transform, and to reconstruct the signal.
Platform: | Size: 3072 | Author: song | Hits:

[matlab02

Description: 2.1 傅里叶变换 2.1.1 经典傅里叶变换 2.1.2 傅里叶变换的基本性质 2.1.3 快速傅里叶变换 2.1.4 短时傅里叶变换 2.2 小波分析与多分辨率分析的历史 2.3 小波分析与傅里叶变换的对比 2.4 小波变换 2.4.1 连续小波变换 2.4.2 离散小波变换 2.4.3 高维小波连续变换 2.5 常用小波基函数 2.5.1 小波函数 2.5.2 小波函数系 2.5.3 复数小波 2.6 构造紧支撑正常小波基 2.7 多分辨率分析与小波构造 2.8 分析小波包 2.8.1 小波包的定义及性质 2.8.2 分解小波包的空间 2.8.3 小波包算法-2.1 Fourier transform 2.1.1 classical Fourier transform 2.1.2 The basic properties of the Fourier transform 2.1.3 Fast Fourier Transform 2.1.4 short time Fourier transform 2.2 wavelet analysis and multi-resolution analysis of the history of 2.3 Wavelet Analysis and comparison of the Fourier transform 2.4 Wavelet Transform 2.4.1 Continuous Wavelet Transform 2.4.2 Discrete Wavelet Transform 2.4.3 Continuous high-dimensional wavelet transform 2.5 Common wavelet basis function 2.5.1 wavelet function 2.5.2 Department of wavelet function 2.5.3 Complex Wavelet 2.6 Construction of compactly supported wavelets normal More than 2.7 resolution analysis and wavelet construction 2.8 Analysis of Wavelet Packet 2.8.1 Definition and properties of wavelet packet 2.8.2 wavelet packet decomposition space 2.8.3 Wavelet Packet Algorithm
Platform: | Size: 6144 | Author: changyun | Hits:

[WAP developLab4-LPC

Description: For restoration of time-domain signals, an estimate of the instantaneous magnitude spectrum is combined with the phase of the noisy signal, and then transformed via an inverse discrete Fourier transform to the time domain. In terms of computational complexity, spectral subtraction is relatively inexpensive. However, owing to random variations of noise, spectral subtraction can result in negative estimates of the short-time magnitude or power spectrum-For restoration of time-domain signals, an estimate of the instantaneous magnitude spectrum is combined with the phase of the noisy signal, and then transformed via an inverse discrete Fourier transform to the time domain. In terms of computational complexity, spectral subtraction is relatively inexpensive. However, owing to random variations of noise, spectral subtraction can result in negative estimates of the short-time magnitude or power spectrum
Platform: | Size: 126976 | Author: ngocan | Hits:

[matlabdstft-(2014_05_06-05_14_13-UTC)

Description: Discrete short-time Fourier transform
Platform: | Size: 1024 | Author: rozy | Hits:

[matlabSTFT_SWT_ST_matlab-files

Description: 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.
Platform: | Size: 4096 | Author: zl | Hits:

[matlabjiachaung

Description: 令 ,w(n)为高斯窗函数。试用matlab软件,取不同长度的窗函数,分别求x(n)的离散短时傅里叶变换,并进行信号重构。试讨论窗函数长度对时频分辨率、重构精度的影响。-Order, w (n) is Gaussian window function. Try matlab software, takes a different length of the window function, respectively, find x (n) short-time discrete Fourier transform, and signal reconstruction. Discuss the frequency resolution when the window function length on Reconstruction Precision.
Platform: | Size: 1024 | Author: 筱玉 | Hits:

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