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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
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Author: james |
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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
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Author: james |
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Description: 基于STFT的振动信号解调方法及其在轴承故障检测中的应用-Based on the STFT of the vibration signal demodulation method and its application in bearing fault detection
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Author: 杨鑫 |
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Description: 用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图
2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选
3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱
4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图
-Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and display their respective time-domain waveform of Figure 2. FFT to transform, showing their frequency spectrum, including sampling rate, frequency, data length of 3-on-demand. Make the rms signal of the three maps, power maps, as well as the number of root-mean-square map 4. Fourier Transform IFFT with the restoration of signals, and displays the sinusoidal signal the resumption of time-domain waveform
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Author: river |
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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
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Author: bosic |
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Description: 基于短时傅里叶变换的非平稳信号的时频分析-Based on Short time fourier transform,signal s time-frequecy analysis.
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Author: byf |
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Description: Based on the spectrum of the vuvuzela sound, this denoising technique simply computes an antenuation map in the time-frequency domain. Then, the audio signal is restored by computing the inverse STFT. See [1] or [2] for more detail about the algorithm.
To hear the result of this algorithm, go directly to: http://soundcloud.com/choc29/vuvuzela-correction-with-matlab
References:
[1] Steven F. Boll, "Suppression of Acoustic Noise in Speech Using Spectral Subtraction", IEEE Transactions on Signal Processing, 27(2),pp 113-120, 1979
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Author: naarkhoo |
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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).
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Author: sawssenj |
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Description: 这是一个关于信号视频分析的代码，用matlab编写，带有短时傅里叶变换，小波变换分析信号。-This is a video analysis on the signal code, written with matlab, with short time Fourier transform, wavelet transform signal.
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Author: fan |
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Description: 对信号长度为1000的行进stft分析，程序简介移动啊-Signal length of 1000 on the road stft analysis, program profile move ah
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Author: mq |
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Description: 编写一Matlab函数，用30ms三角窗和15ms帧移计算语音信号的STFT。并用OLA法重建原始信号。设计一种基于OLA的综合方法，以通过重复每帧对语音信号以因子2进行时域扩展。-Write a Matlab function, STFT and 30ms triangular window and 15ms frame-shift calculation of the speech signal. And the OLA method to reconstruct the original signal. Design an integrated approach based on OLA, by repeating each frame of the speech signal by a factor of 2 when the domain extension.
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Author: yuelianglian |
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Description: 使用四分量高斯包络信号进行时频分析，比较比较STFT、WVD、CWD分辨率和交叉干扰情况，包含仿真代码及Matlab时频分析工具箱。工具箱的使用建议参考《Matlab时频分析技术及其应用-葛哲学》，压缩包中顺便包含了该书的源代码。-The four-component Gaussian envelope signal frequency analysis, comparison compare STFT on WVD, CWD resolution and cross-interference, frequency analysis toolbox contains the simulation code and Matlab. Use the recommended reference toolbox " Matlab frequency analysis technology and its application- Gezhe school" book contains the source code compression package the way.
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Author: 吉韦 |
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Description: chirp信号的短时傅里叶变换源代码，雷达、信号处理等领域，可实现对chirp信号的短时傅里叶变换-short-time Fourier transform source code field chirp signals, radar, signal processing can be realized on short-time Fourier transform chirp signal
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Author: 李金磊 |
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Description: 理解语音信号的非平稳特性，在信号分帧处理的基础上，根据短时分析方法实现语音信号的短时傅里叶变换STFT。-To understand the non-stationary characteristics of speech signal, based on the signal processing, the short time Fu Liye transform of speech signal is realized by the method of short time analysis STFT.
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Author: zhaofei |
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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.,
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Author: choigyuho |
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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.
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Author: zl |
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Description: 数字信号处理中的短时傅里叶变换程序，窗函数长度20， 默认为矩形窗，截取时间间隔 <=Nw/2。适用于时频分析(The present code is sample,you can buy a digital signal processing book that published on Xi'an University of Electronic Science and Technology publisher.)
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Author: 小二vv
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