Compressed Sensing (CS) is a promising method that recovers the sparse and compressible signals from severely under-sampled measurements. CS can be applied to wireless communication to enhance its capabilities. As this technology is proliferating, it is possible to explore its need and benefits for emerging applicationsCompressive Sensing for Wireless Communication provides:• A clear insight into the basics of compressed sensing• A thorough exploration of applying CS to audio, image and computer vision• Different dimensions of applying CS in Cognitive radio networks• CS in wireless sensor network for spatial compression and projection• Real world problems/projects that can be implemented and tested• Efficient methods to sample and reconstruct the images in resource constrained WMSN environmentThis book provides the details of CS and its associated applications in a thorough manner. It lays a direction for students and new engineers and prepares them for developing new tasks within the field of CS. It is an indispensable companion for practicing engineers who wish to learn about the emerging areas of interest.
This companion offers a unique introductory study of linguistics in India. Well supplemented with sample problems and linguistic puzzles to bolster analytical skills and logical reasoning, it promotes a unique inquiry-based approach to learning linguistics. The volume looks at all the major subdisciplines of linguistics, including phonetics, phonology, morphology, semantics, syntax, and the interdisciplinary domains of psycholinguistics and neurolinguistics. It provides a wealth of data not only from many Indian languages belonging to the primary language families present in the country – Indo-Aryan, Dravidian, Austro-Asiatic, and Tibeto-Burman – but also from the endangered languages of the Tai-Kadai family of Assam and the Greater Andamanese family. The author gives a holistic view of the linguistic landscape of India and fills a significant gap in the study of the lesser-known languages of South Asia. This volume will be an excellent resource for students and researchers of Indian languages, cultural studies, South Asian studies, and all branches of linguistics.
Computational chemistry is a science that allows researchers to study, characterize and predict the structure and stability of chemical systems. In other words: studying energy differences between different states to explain spectroscopic properties and reaction mechanisms at the atomic level. This field is gaining in relevance and strength due to field applications from chemical engineering, electrical engineering, electronics, biomedicine, biology, materials science, to name but a few. Structural Analysis using Computational Chemistry arises from the need to present the progress of computational chemistry in various application areas. Technical topics discussed in the book include: Quantum mechanics and structural molecular study (AM1)Application of quantum models in molecular analysisMolecular analysis of insulin through controlled adsorption in hydrogels based on chitosanAnalysis and molecular characterization of organic materials for application in solar cellsDetermination of thermodynamic properties of ionic liquids through molecular simulation
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