... Applications of Blind and Semi-Blind Signal Processing 231.2.1 Biomedical SignalProcessing 241.2.2 Blind Separation of Electrocardiographic Signals ofFetus and Mother 251.2.3 Enhancement and Decomposition ... 2987.10 (a) Eight ECG signals are separated into: Four maternalsignals, two fetal signals and two noise signals. (b) Detailedplots of extracted fetal ECG signals. The mixed signalswere obtained ... sensor signals and (c) reconstructed source signals. 2977.9 Blind separation of speech signals using the algorithm (7.80):(a) Primary source signals, (b) sensor signals, (c) recoveredsource signals....
... differentialequations, Signal Processing, 38, 57–77, July 1994.[38] Maragos, P., Differential morphology andimage processing, IEEE Trans. Image Processing, 5,922–937, June 1996.[39] Maragos, P. and Schafer, ... nowadaysoffers many theoretical and algorithmic tools to and inspires new directions in many research areasfrom the fields of signal processing, imageprocessingand machine vision, and pattern recognition.Asthename‘morphology’ ... makemorphological signalprocessingarigorous andefficientframework tostudyandsolve manyproblemsin image analysis and nonlinear filtering.74.2 Morphological Operators for Sets and Signals74.2.1 Boolean...
... discussed further in an example in Chapter 10.1.6. Fusion in signalandimageprocessingand fusion in other fieldsFusion in signalandimageprocessing has specific features that need to be takeninto ... 201.6. Fusion in signalandimageprocessingand fusion in other fields . . . . 221.7.Bibliography 23Chapter 2. Fusion in SignalProcessing 25Jean-Pierre LE CADRE, Vincent NIMIER and Roger REYNAUD2.1. ... Designs and Patents Act 1988. Library of Congress Cataloging-in-Publication Data [Fusion d'informations en traitement du signal et des images English] Information fusion in signaland image...
... 359Companding 362Speech Synthesis and Recognition 364Nonlinear Audio Processing 368Chapter 23. Image Formation and Display 373 Digital Image Structure 373Cameras and Eyes 376Television Video Signals ... 11Mean and Standard Deviation 13 Signal vs. Underlying Process 17The Histogram, Pmf and Pdf 19The Normal Distribution 26 Digital Noise Generation 29Precision and Accuracy 32Chapter 3. ADC and ... 22. Audio Processing 351Chapter 23. Image Formation and Display 373Chapter 24. Linear ImageProcessing 397Chapter 25. Special Imaging Techniques 423Chapter 26. Neural Networks (and more!)...
... sinusoidal signal, which is a continuous-time signal, and a discrete-time signal. We dis-cussed the basic procedure followed to sample and quantize an analog signal ANALOG ANDDIGITALSIGNAL PROCESSING 25different ... that it can be considered a bandlimited signal. It is this signal thatis sampled and converted to a discrete-time signaland coded to a digital signal by the analog-to -digital converter (ADC) that ... data bya significant factor and receive the input signal at lower cost and very goodquality. To point out the power of digitalsignalprocessing theory and the digital signal processors available,...
... digital signal processing is found in hearing aids and cardiac pacemakers.5. Image Processing. Image enhancement, image restoration, image under-standing, computer vision, radar and sonar processing, ... Theory and Application of DigitalSignal Processing, Prentice-Hall, 1975.9. E. C. Ifeachor and B. W. Jervis, DigitalSignal Processing, Prentice-Hall, 2002.10. V. K. Ingle and J. G. Proakis, Digital ... Discrete Systems andDigitalSignal Processing, Addison-Wesley, 1989.7. S. S. Soliman and M. D. Srinath, Continuous and Discrete Signals and Systems,Prentice-Hall, 1990.8. L. R. Rabiner and B. Gold,...
... throughout the book willbe defined in this chapter.3.1 Digital Signals and SystemsIn this section, we will define some widely used digital signals and simple DSP systems.The purpose of this section ... background for understandingthe materials presented in subsequent sections and later chapters.3.1.1 Elementary Digital SignalsThere are several ways to describe signals. For example, signals encountered ... purposes and for mathematically describing certain phenomena. Randomsignals are information-bearing signals such as speech. Some deterministic signals will beintroduced in this section, while random...
... non-causal and hence not physically realizable. Instead wemust compromise and accept a more gradual cutoff between passband and stopband, aswell as specify a transition band between the passband and ... passband, themagnitude response has a peak deviation dp and in the stopband, it has a maximumdeviation ds. The frequencies !p and !sare the passband edge (cut-off) frequency and the stopband ... passband and stopband ripples, the area under208DESIGN AND IMPLEMENTATION OF FIR FILTERS5.2.2 Some Simple FIR FiltersA multiband filter has more than one passband and stopband. A special case...
... lowpass and bandpass filters, but not for highpass and bandstop filters.MATLAB supports the design of impulse invariant digital filters through the func-tion impinvar in the SignalProcessing ... 6.7.Example 6.13: Design a bandpass filter with passband of 100 Hz to 200 Hz and thesampling rate is 1 kHz. The passband ripple is less than 3 dB and the stopbandattenuation is at least 30 ... monotonically decreas-ing in both the passband and the stopband. The Butterworth filter has a completely flatmagnitude response over the passband and the stopband. It is often referred to as the`maximally...
... Prentice-Hall, 1983.[3] V. K. Ingle and J. G. Proakis, DigitalSignalProcessing Using MATLAB V.4, Boston: PWSPublishing, 1997.[4] L. B. Jackson, Digital Filters andSignal Processing, 2nd Ed., Boston: ... Orfanidis, Introduction to Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1996.[10] J. G. Proakis and D. G. Manolakis, DigitalSignalProcessing ± Principles, Algorithms, and Applications, 3rd ... Prentice-Hall, 1996.[11] A Bateman and W. Yates, DigitalSignalProcessing Design, New York: Computer Science Press,1989.[12] S. D. Stearns and D. R. Hush, DigitalSignal Analysis, 2nd Ed., Englewood...
... frequency bands: band 1 is low-pass and covers 0 Hz to 80 Hz; band 2 is band-pass and covers 80 Hz to 3 kHz; band 3 is high-pass and covers above 3 kHz; and band 4 is also high-pass and covers ... (e) Processing noise: the noise that results from the digital/ analog processing of signals, e.g. quantisation noise in digital coding of speech or image signals, or lost data packets in digital ... ALEXANDER S.T. (1986) Adaptive SignalProcessing Theory and Applications. Springer-Verlag, New York. DAVENPORT W.B. and ROOT W.L. (1958) An Introduction to the Theory of Random Signals and...