... 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...
... Fundamental SignalandImageProcessing Concepts 1 1 Architecture of the Basic Physiologic Recorder 3Jason Ng and Jeffrey J. Goldberger 2 Analog and Digital Signals 9Jason Ng and Jeffrey ... the signal or image, as judging signal quality is often more important than how “clean” a signal or image looks.More advanced signalprocessing is also essential in cardiovascular imaging and ... Stethoscopes 379Indranil Sen-Gupta and Jason NgIndex 391xii Contents viiPreface Signal processing is the means and methodology of handling, manipulating, and convert-ing signals for the purposes...
... in Figure 1.28. Figures 1.28(a) and (b) show the two images x(nl, n,) and y(n,, n,) and Figures 1.28(c) and (d) show the two images f(nl, n,) and g(nl, n,). The high intelligibility ... applied to an image tends to accentuate image details or local contrast, and the processed image appears sharper. Figure 1.22(a) shows an original image of 256 x 256 pixels and Figure 1.22(b) ... o, = o, = 0, and therefore the average intensity of an image is not affected by the filter. A bright image will remain bright and a dark image will remain dark after processing with the...
... text Image Processingand Computer Vision (Parker, 1996). A recent text Computer Vision and Image Processing (Umbaugh, 1998) takes an applications-oriented approach to computer vision and image processing, ... Masters, T.: Signal and ImageProcessing with Neural Networks – A C++ Sourcebook (Masters, 1994) offers goodguidance in combining imageprocessing technique with neural networks and gives codefor ... Feature Extraction andImage Processing consider processing its luminance only, often computed in a standard way. In any case, theamount of memory used is always related to the image size.Choosing...
... discrete-time signals. We will treat continuous-time signals in Sections 2, 3, and 4 (and also in Sections 7 and 8), and we will transfer the concepts to the discrete-time case in Sections 5 and 6. ... localization in the combined time-frequency space and, therefore, in many cases do not satisfy the properties required in signalandimageprocessingand anal-ysis. The problem of how to construct ... are more suitable for the analysis andprocessing of natural signals and images than expansion by the traditional application of Fourier series, polynomials, and other functions of infinite support,...
... Digital ImageProcessing Digital imageprocessing is the use of computer algorithms to perform imageprocessing on digital images. As a subcategory or field of digital signal processing, ... specialized and computer-intensive operations. With the fast computers andsignal processors available in the 2000s, digital image processing has become the most common form of imageprocessingand ... as the techniques of digital signalprocessing are much more powerful and efficient than analog domain signal processing. Application areas Processing methods and application areas include...