Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.1 (p. 738) Saggital-plane.

Slides:



Advertisements
Similar presentations
Window Fourier and wavelet transforms. Properties and applications of the wavelets. A.S. Yakovlev.
Advertisements

Differential Equations
Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
A Practical Guide to Troubleshooting LMS Filter Adaptation Prepared by Charles H. Sobey, Chief Scientist ChannelScience.com June 30, 2000.
EE-608 Course project Adaptive Kalman Structure for Passive Undersea Tracking Pannir Selvam E ( ) Vikram Mehta (CEP) Praveen Goyal ( ) Guided.
CHE 185 – PROCESS CONTROL AND DYNAMICS
Time-Frequency and Time-Scale Analysis of Doppler Ultrasound Signals
A Survey of Some Sliding Mode Control Designs Dennis Driggers EE691 March 16, 2006.
Wavelet Transform A very brief look.
Wavelet Transform. What Are Wavelets? In general, a family of representations using: hierarchical (nested) basis functions finite (“compact”) support.
I. Concepts and Tools Mathematics for Dynamic Systems Time Response
Signal Processing of Germanium Detector Signals David Scraggs University of Liverpool UNTF 2006.
Slide# Ketter Hall, North Campus, Buffalo, NY Fax: Tel: x 2400 Control of Structural Vibrations.
Multiscale transforms : wavelets, ridgelets, curvelets, etc.
ENG4BF3 Medical Image Processing
EE-608 Course project Adaptive Kalman Structure for Passive Undersea Tracking Pannir Selvam E ( ) Vikram Mehta Praveen Goyal ( ) Guided By.
1 Introduction CHAPTER 1.6 Elementary Signals ★ Exponential Signals (1.31) B and a are real parameters 1.Decaying exponential, for which a < 0 2.Growing.
Probability Theory and Random Processes
EXAMPLES: Example 1: Consider the system Calculate the equilibrium points for the system. Plot the phase portrait of the system. Solution: The equilibrium.
1 Orthonormal Wavelets with Simple Closed-Form Expressions G. G. Walter and J. Zhang IEEE Trans. Signal Processing, vol. 46, No. 8, August 王隆仁.
Copyright ©2009 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. Neural Networks and Learning Machines, Third Edition.
2D phase unwrapping by DCT method Kui Zhang, Marcilio Castro de Matos, and Kurt J. Marfurt ConocoPhillips School of Geology & Geophysics, University of.
WAVELET (Article Presentation) by : Tilottama Goswami Sources:
Wavelet-based Coding And its application in JPEG2000 Monia Ghobadi CSC561 final project
Tamal Bose, Digital Signal and Image Processing © 2004 by John Wiley & Sons, Inc. All rights reserved. Figure 8-1 (p. 491) Adaptive channel equalizer.
Main Menu Salas, Hille, Etgen Calculus: One and Several Variables Copyright 2003 © John Wiley & Sons, Inc. All rights reserved. Chapter 12: Vectors Cartesian.
Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
Automated Control Systems, 8/E by Benjamin C. Kuo and Farid Golnaraghi Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 1-1 (p. 2)
Wavelets and Multiresolution Processing (Wavelet Transforms)
CCN COMPLEX COMPUTING NETWORKS1 This research has been supported in part by European Commission FP6 IYTE-Wireless Project (Contract No: )
Synchronization in complex network topologies
Page 0 of 8 Lyapunov Exponents – Theory and Implementation Sanjay Patil Intelligent Electronics Systems Human and Systems Engineering Center for Advanced.
Calculus, 8/E by Howard Anton, Irl Bivens, and Stephen Davis Copyright © 2005 by John Wiley & Sons, Inc. All rights reserved (p. 443) First Area.
Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues Elementary Differential Equations and Boundary Value Problems, 9 th edition, by William E. Boyce and.
Tamal Bose, Digital Signal and Image Processing © 2004 by John Wiley & Sons, Inc. All rights reserved. Figure 7-1 (p. 423) Adaptive filter block diagram.
Haar Wavelet Analysis 吳育德 陽明大學放射醫學科學研究所 台北榮總整合性腦功能實驗室.
CHAPTER 10 DATA COLLECTION METHODS. FROM CHAPTER 10 Copyright © 2003 John Wiley & Sons, Inc. Sekaran/RESEARCH 4E.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Image Coding/ Compression
Wavelet Transform Yuan F. Zheng Dept. of Electrical Engineering The Ohio State University DAGSI Lecture Note.
Overview of Adaptive Filters Quote of the Day When you look at yourself from a universal standpoint, something inside always reminds or informs you that.
Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 1.1 (p. 2) Block diagram.
1 LES of Turbulent Flows: Lecture 7 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
WAVELET AND IDENTIFICATION WAVELET AND IDENTIFICATION Hamed Kashani.
Adaptive Optimal Control of Nonlinear Parametric Strict Feedback Systems with application to Helicopter Attitude Control OBJECTIVES  Optimal adaptive.
Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 4.1 (p. 343) FS and FT.
The Discrete Wavelet Transform for Image Compression Speaker: Jing-De Huang Advisor: Jian-Jiun Ding Graduate Institute of Communication Engineering National.
Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
The Story of Wavelets Theory and Engineering Applications
By Dr. Rajeev Srivastava CSE, IIT(BHU)
An Introduction to Time-Frequency Analysis Speaker: Po-Hong Wu Advisor: Jian-Jung Ding Digital Image and Signal Processing Lab GICE, National Taiwan University.
Wavelet Transforms ( WT ) -Introduction and Applications
Automated Control Systems, 8/E by Benjamin C. Kuo and Farid Golnaraghi Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 3-1 (p. 44)
Modeling interactions 1. Pendulum m – mass R – rod length x – angle of elevation Small angles x.
Presenter : r 余芝融 1 EE lab.530. Overview  Introduction to image compression  Wavelet transform concepts  Subband Coding  Haar Wavelet  Embedded.
Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2005 by John Wiley & Sons, Inc. All rights reserved. Figure 1.1 (p. 2) Block diagram.
Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 9.1 (p. 664) Two different.
V.V. Emel’yanov, S.P. Kuznetsov, and N.M. Ryskin* Saratov State University, , Saratov, Russia * GENERATION OF HYPERBOLIC.
Wavelet Transform Advanced Digital Signal Processing Lecture 12
From: Time Delay Control for Two van der Pol Oscillators
Figure 8.1 (p. 615) Time-domain condition for distortionless transmission of a signal through a linear time-invariant system. Signals and Systems, 2/E.
Figure 7.1 (p. 554) Real and imaginary parts of the signal zn.
Signals and Systems, 2/E by Simon Haykin and Barry Van Veen
Wavelets : Introduction and Examples
Translations.
Introduction of Chaos in Electric Drive Systems
Figure Contributions of characteristic equation roots to closed-loop response.
Boyce/DiPrima 10th ed, Ch 7.6: Complex Eigenvalues Elementary Differential Equations and Boundary Value Problems, 10th edition, by William E. Boyce and.
Chapter 15: Wavelets (i) Fourier spectrum provides all the frequencies
SIGNALS & SYSTEMS (ENT 281)
Presentation transcript:

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.1 (p. 738) Saggital-plane x ray of the human vocal apparatus. (Reproduced from J. L. Flanagan et al., “Speech coding,” IEEE Transactions in Communications, vol. COM-27, pp , 1979; courtesy of the IEEE.)

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.2 (p. 740) Result of multiplying a signal x(t) by a window function w(t) delayed in time by .

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.3 (P. 741) (a) Gaussian window. (b) Hanning window.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.4 (p. 742) Real and imaginary parts of the complex-valued basis function  ,  (t).

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.5 (p. 742) (a) Uniform tiling of the time-frequency plane by the short-time Fourier transform. (b) Real parts of associated basis functions.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.6 (p. 743) Spectrograms of speech signals. (a) Noisy version of the speech signal produced by a female speaker saying the phrase “This was easy for us.” (b) Filtered version of the speech signal.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.7 (p. 745) (a) Haar wavelet. (b) Daubechies wavelet.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.8 (p. 746) (a) Haar mother wavelet  (t) (b) Haar wavelet dilated by 2. (c) Haar wavelet dilated by 2 and translated by 1.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.9 (p. 748) (a) Partitioning of the time-frequency plane by the wavelet transform. (b) Real parts of associated basis functions.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.10a (p. 749) (a) Original magnetic resonance image. (b) Compressed image, using the Daubechies wavelet of Fig. 10.6(b). (c) Difference image between the original and compressed images. This image has been brightened up to make the differences more visible. (d) Distribution of the wavelet coefficients.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.10b (p. 749)

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure (p. 751) Phase portrait of a two-dimensional nonlinear dynamical system described by the pair of state equations for the control parameter c = –0.2. (Reproduced from T. S. Parker and L. O. Chua, Practical Numerical Algorithms for Chaotic Systems, Springer-Verlag, 1989, courtesy of Springer-Verlag.)

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure (p. 752) Feedback control system containing a nonlinear element in its feedback loop.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure (p. 752) Limit cycle in a two-dimensional phase space.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.14a (p. 754) (a) Stable node. (b) Stable focus. (c) Unstable node. (d) Unstable focus.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 10.14b (p. 755) Continued (e) Saddle point. (f) Center.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure (p. 757) Two-dimensional illustrations of the Lyapunov stability theorem, based on Lyapunov surfaces with c 1 < c 2 < c 3. (a) Trajectory of the state x(t), assuming that Eq. (10.33) is satisfied. (b) Trajectory of the state x(t), assuming that Eq. (10.34) is satisfied.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure (p. 758) Adaptive equalizer built around an FIR digital filter.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure (p. 759) The two modes of operating an adaptive equalizer. When the switch is in position a, the equalizer operates in its training mode. When the switch is moved to position b, the equalizer operates in its decision-directed mode.

Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure (p. 760) Block diagram of an FIR model whose coefficients are adjusted by an adaptive filtering algorithm for the identification of an unknown dynamic plant.