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Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and...

Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix...

This book will cover network management security issues and currently available security mechanisms by discussing how network architectures have evolved into the contemporary NGNs which support converged services (voice, video, TV, interactive information exchange, and classic data communications). It will also analyze existing security standards...

Originally published in 1931, this book was written to provide an account of wireless theory and practice for competent electrical engineers without knowledge of high-frequency phenomena. The text discusses numerous aspects of wireless telegraphy and telephony, incorporating information on key principles and direct engineering application....

First published in 1921, this book was originally intended to supplement the knowledge of electrical engineers with limited experience of wireless telegraphy. Turner examines various branches of the technology's development, focusing especially on the thermionic method of wireless, and compares telegraphy to telephony. This book will be of value to...

New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various...