An Introduction to S-Transform for Time-Frequency Analysis S.K. Steve Chang SKC-2009.

Slides:



Advertisements
Similar presentations
Islamic university of Gaza Faculty of engineering Electrical engineering dept. Submitted to: Dr.Hatem Alaidy Submitted by: Ola Hajjaj Tahleel.
Advertisements

Biomedical Signal Processing
Applications in Signal and Image Processing
AES 120 th Convention Paris, France, 2006 Adaptive Time-Frequency Resolution for Analysis and Processing of Audio Alexey Lukin AES Student Member Moscow.
Time-scale and pitch modification Algorithms review Alexey Lukin.
5. Spectrograms and non-stationary signals
Time-Frequency Analysis of Non-stationary Phenomena in Electrical Engineering Antonio Bracale, Guido Carpinelli Universita degli Studi di Napoli “Federico.
Introduction to Wavelet
The recovery of seismic reflectivity in an attenuating medium Gary Margrave, Linping Dong, Peter Gibson, Jeff Grossman, Michael Lamoureux University of.
SIGNAL PROCESSING TECHNIQUES USED FOR THE ANALYSIS OF ACOUSTIC SIGNALS FROM HEART AND LUNGS TO DETECT PULMONARY EDEMA 1 Pratibha Sharma Electrical, Computer.
Time and Frequency Representations Accompanying presentation Kenan Gençol presented in the course Signal Transformations instructed by Prof.Dr. Ömer Nezih.
Multi-resolution Analysis TFDs, Wavelets Etc. PCG applications.
FFT-based filtering and the Short-Time Fourier Transform (STFT) R.C. Maher ECEN4002/5002 DSP Laboratory Spring 2003.
Time-Frequency and Time-Scale Analysis of Doppler Ultrasound Signals
Psy 8960, Fall ‘06 Introduction to MRI1 Fourier transforms 1D: square wave 2D: k x and k y 2D: FOV and resolution 2D: spike artifacts 3D.
Undecimated wavelet transform (Stationary Wavelet Transform)
Short Time Fourier Transform (STFT)
Total Variation Imaging followed by spectral decomposition using continuous wavelet transform Partha Routh 1 and Satish Sinha 2, 1 Boise State University,
Effects in frequency domain Stefania Serafin Music Informatics Fall 2004.
Wavelet Transform. What Are Wavelets? In general, a family of representations using: hierarchical (nested) basis functions finite (“compact”) support.
Wavelet-based Coding And its application in JPEG2000 Monia Ghobadi CSC561 project
Introduction to Wavelets -part 2
ECE 501 Introduction to BME ECE 501 Dr. Hang. Part V Biomedical Signal Processing Introduction to Wavelet Transform ECE 501 Dr. Hang.
Spectral Analysis Spectral analysis is concerned with the determination of the energy or power spectrum of a continuous-time signal It is assumed that.
Fourier Transforms Revisited
Inputs to Signal Generation.vi: -Initial Distance (m) -Velocity (m/s) -Chirp Duration (s) -Sampling Info (Sampling Frequency, Window Size) -Original Signal.
Continuous Wavelet Transformation Continuous Wavelet Transformation Institute for Advanced Studies in Basic Sciences – Zanjan Mahdi Vasighi.
GCT731 Fall 2014 Topics in Music Technology - Music Information Retrieval Overview of MIR Systems Audio and Music Representations (Part 1) 1.
Wavelets: theory and applications
WAVELET TUTORIALS.
Multiresolution STFT for Analysis and Processing of Audio
The Story of Wavelets.
The Wavelet Tutorial Dr. Charturong Tantibundhit.
Lecture 13 Wavelet transformation II. Fourier Transform (FT) Forward FT: Inverse FT: Examples: Slide from Alexander Kolesnikov ’s lecture notes.
README Lecture notes will be animated by clicks. Each click will indicate pause for audience to observe slide. On further click, the lecturer will explain.
Wavelet transform Wavelet transform is a relatively new concept (about 10 more years old) First of all, why do we need a transform, or what is a transform.
Professor : R.J. Chang Student : Che-Wei Chen Date :2013/12/13 Learning Wavelet Transform by MATLAB Toolbox.
ECE472/572 - Lecture 13 Wavelets and Multiresolution Processing 11/15/11 Reference: Wavelet Tutorial
Noninvasive Detection of Coronary Artery Disease John Semmlow and John Kostis Laboratory for Noninvasive Medical Instrumentation Rutgers University and.
Gammachirp Auditory Filter
“Digital stand for training undergraduate and graduate students for processing of statistical time-series, based on fractal analysis and wavelet analysis.
Pre-Class Music Paul Lansky Six Fantasies on a Poem by Thomas Campion.
Time Frequency Analysis
1 Wavelet Transform. 2 Definition of The Continuous Wavelet Transform CWT The continuous-time wavelet transform (CWT) of f(x) with respect to a wavelet.
Time-frequency analysis of thin bed using a modified matching pursuit algorithm Bo Zhang Graduated from AASP consortium of OU in 2014 currently with The.
The Discrete Fourier Transform
Analysis of Traction System Time-Varying Signals using ESPRIT Subspace Spectrum Estimation Method Z. Leonowicz, T. Lobos
The Story of Wavelets Theory and Engineering Applications
An Introduction to Time-Frequency Analysis Speaker: Po-Hong Wu Advisor: Jian-Jung Ding Digital Image and Signal Processing Lab GICE, National Taiwan University.
Seismic Reflection Data Processing and Interpretation A Workshop in Cairo 28 Oct. – 9 Nov Cairo University, Egypt Dr. Sherif Mohamed Hanafy Lecturer.
Environmental and Exploration Geophysics II tom.h.wilson
Presenter : r 余芝融 1 EE lab.530. Overview  Introduction to image compression  Wavelet transform concepts  Subband Coding  Haar Wavelet  Embedded.
CLASSIFICATION OF ECG SIGNAL USING WAVELET ANALYSIS
Literature Survey of Spectroscopic OCT Tuan-Shu Ho 1.
Short Time Fourier Transform (STFT) CS474/674 – Prof. Bebis.
Complex demodulation Windowed Fourier Transform burst data Appropriate for burst data continuous data Questionable for continuous data (may miss important.
Wavelet Transform Advanced Digital Signal Processing Lecture 12
Spectral Analysis Spectral analysis is concerned with the determination of the energy or power spectrum of a continuous-time signal It is assumed that.
CS Digital Image Processing Lecture 9. Wavelet Transform
Image Denoising in the Wavelet Domain Using Wiener Filtering
2D Fourier transform is separable
Homework 1 (Due: 11th Oct.) (1) Which of the following applications are the proper applications of the short -time Fourier transform? Also illustrate.
POTSI Gaboring Advances
Advanced Digital Signal Processing
Wavelet transform Wavelet transform is a relatively new concept (about 10 more years old) First of all, why do we need a transform, or what is a transform.
Wavelet Transform Fourier Transform Wavelet Transform
Assoc. Prof. Dr. Peerapol Yuvapoositanon
Windowed Fourier Transform
bc POTSI Gaboring Advances
Chapter 15: Wavelets (i) Fourier spectrum provides all the frequencies
Presentation transcript:

An Introduction to S-Transform for Time-Frequency Analysis S.K. Steve Chang SKC-2009

Question: Do we live in… Time-Domain or Frequency-Domain? SKC-2009

Time Domain vs Frequency Domain Time information is lost Frequency (Hz) Spectrum Time (Seconds) Waveform SKC-2009

Spectrogram (time-Frequency) Time (Seconds) Frequency (HZ) SKC-2009

Fourier Transform & Short Time Fourier Transform Window SKC-2009

STFT Fourier Transform SKC-2009

STFT: Fixed Window, Fixed Resolution Window Length Frequency Resolution Time Resolution SKC-2009

Example (400 msec sample) SKC-2009

(T=25 ms) Poor Frequency Resolution SKC-2009

(T=125 ms) Fixed Resolution SKC-2009

(T=375 ms) Fixed Resolution SKC-2009

(T=1000 ms) Poor High Frequency Time Resolution SKC-2009

S-Transform & Short Time Fourier Transform SKC-2009

Gaussian Window for S-Transform Function of Frequency SKC-2009

Gaussian Window for S-Transform High Frequency Low Frequency Time Shifted SKC-2009

and from SKC-2009

Two Chirps and Two Bursts S-T STFT Wigner SKC-2009

S-Transform and Wavelet Transform Mother Wavelet: SKC-2009

S-Transform is not Wavelet Transform Mother Wavelet does not have zero mean: Morlet’s Wavelet Phase Correction SKC-2009

Generalized S-Transform Resolution p TimeFrequency Standard Deviation SKC-2009

Generalized S-Transform: Bi-Gaussian SKC-2009

Generalized S-Transform: Bi-Gaussian Sharper Front Edge For Arrival Time Sacrifice Frequency Resolution SKC-2009

Generalized S-Transform: Bi-Gaussian Sharper Arrival Time SKC-2009

Generalized S-Transform: Your Own SKC-2009

Generalized S-Transform: Your Own Constraint: SKC-2009

Examples - Applications Engine Knock Pressure STFT S-Transform with New Window S-Transform SKC-2009

Power Disturbance Detection Power Disturbance Contour Stationary Phase Power Disturbance SKC-2009

Earthquake Detection Noisy Signal Time-Frequency Filter Inverse S-Transform Earthquake Signal SKC-2009

Earthquake Seismology Original Data Filter 1 Filter 2 S-Filters SKC-2009

Seismic Data STFTS- Transform Seismic Trace SKC-2009

Medical: Forearm Blood Flow Rest Activities Occlusion SKC-2009

Geomagnetic Storm Induced Current SKC-2009

Gear Vibration Signal Decoposition Helicopter Rotor under Fatigue Test Transient Components SKC-2009

Image Analysis Original ImageDominant Frequency SKC-2009

S-Transform We live in Time-Frequency World. Similar to Short-Time Fourier Transform Similar to Continuous Wavelet Transform Generalized S-Transform: Many Different Window Choices Time-Frequency Analysis: Many Applications SKC-2009