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Series Preface Dr. Siddhartha Bhattacharyya, CHRIST (Deemed to be University), Bengaluru, India (Series Editor)
The Intelligent Signal and Data Processing (ISDP) book series is aimed at fostering the field of signal and data processing, which encompasses the theory and practice of algorithms and hardware that convert signals produced by artificial or natural means into a form useful for a specific purpose. The signals might be speech, audio, images, video, sensor data, telemetry, electrocardiograms, or seismic data, among others. The possible application areas include transmission, display, storage, interpretation, classification, segmentation, or diagnosis. The primary objective of the ISDP book series is to evolve future‐generation scalable intelligent systems for faithful analysis of signals and data. ISDP is mainly intended to enrich the scholarly discourse on intelligent signal and image processing in different incarnations. ISDP will benefit a wide range of learners, including students, researchers, and practitioners. The student community can use the volumes in the series as reference texts to advance their knowledge base. In addition, the monographs will also come in handy to the aspiring researcher because of the valuable contributions both have made in this field. Moreover, both faculty members and data practitioners are likely to grasp depth of the relevant knowledge base from these volumes.
The series coverage will contain, not exclusively, the following:
1 Intelligent signal processingAdaptive filteringLearning algorithms for neural networksHybrid soft‐computing techniquesSpectrum estimation and modeling
2 Image processingImage thresholdingImage restorationImage compressionImage segmentationImage quality evaluationComputer vision and medical imagingImage miningPattern recognitionRemote sensing imageryUnderwater image analysisGesture analysisHuman mind analysisMultidimensional image analysis
3 Speech processingModelingCompressionSpeech recognition and analysis
4 Video processingVideo compressionAnalysis
