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Mobile multimedia broadcasting compasses a broad range of topics
including radio propagation, modulation and demodulation, error
control, signal compression and coding, transport and time slicing,
system on chip real-time implementation in ha- ware, software and
system levels. The major goal of this technology is to bring
multimedia enriched contents to handheld devices such as mobile
phones, portable digital assistants, and media players through
radio transmission or internet pro- col (IP) based broadband
networks. Research and development of mobile multi- dia
broadcasting technologies are now explosively growing and regarded
as new killer applications. A number of mobile multimedia
broadcasting standards related to transmission, compression and
multiplexing now coexist and are being ext- sively further
developed. The development and implementation of mobile multi- dia
broadcasting systems are very challenging tasks and require the
huge efforts of the related industry, research and regulatory
authorities so as to bring the success. From an implementation
design and engineering practice point of view, this book aims to be
the ?rst single volume to provide a comprehensive and highly
coherent treatment for multiple standards of mobile multimedia
broadcasting by covering basic principles, algorithms, design
trade-off, and well-compared implementation system examples. This
book is organized into 4 parts with 22 chapters.
Covering everything from signal processing algorithms to integrated
circuit design, this complete guide to digital front-end is
invaluable for professional engineers and researchers in the fields
of signal processing, wireless communication and circuit design.
Showing how theory is translated into practical technology, it
covers all the relevant standards and gives readers the ideal
design methodology to manage a rapidly increasing range of
applications. Step-by-step information for designing practical
systems is provided, with a systematic presentation of theory,
principles, algorithms, standards and implementation. Design
trade-offs are also included, as are practical implementation
examples from real-world systems. A broad range of topics is
covered, including digital pre-distortion (DPD), digital
up-conversion (DUC), digital down-conversion (DDC) and DC-offset
calibration. Other important areas discussed are peak-to-average
power ratio (PAPR) reduction, crest factor reduction (CFR),
pulse-shaping, image rejection, digital mixing,
delay/gain/imbalance compensation, error correction, noise-shaping,
numerical controlled oscillator (NCO) and various diversity
methods.
Mobile multimedia broadcasting compasses a broad range of topics
including radio propagation, modulation and demodulation, error
control, signal compression and coding, transport and time slicing,
system on chip real-time implementation in ha- ware, software and
system levels. The major goal of this technology is to bring
multimedia enriched contents to handheld devices such as mobile
phones, portable digital assistants, and media players through
radio transmission or internet pro- col (IP) based broadband
networks. Research and development of mobile multi- dia
broadcasting technologies are now explosively growing and regarded
as new killer applications. A number of mobile multimedia
broadcasting standards related to transmission, compression and
multiplexing now coexist and are being ext- sively further
developed. The development and implementation of mobile multi- dia
broadcasting systems are very challenging tasks and require the
huge efforts of the related industry, research and regulatory
authorities so as to bring the success. From an implementation
design and engineering practice point of view, this book aims to be
the ?rst single volume to provide a comprehensive and highly
coherent treatment for multiple standards of mobile multimedia
broadcasting by covering basic principles, algorithms, design
trade-off, and well-compared implementation system examples. This
book is organized into 4 parts with 22 chapters.
The use of neural networks in signal processing is becoming
increasingly widespread, with applications in many areas. Applied
Neural Networks for Signal Processing is the first book to provide
a comprehensive introduction to this broad field. It begins by
covering the basic principles and models of neural networks in
signal processing. The authors then discuss a number of powerful
algorithms and architectures for a range of important problems, and
describe practical implementation procedures. A key feature of the
book is that many carefully designed simulation examples are
included to help guide the reader in the development of systems for
new applications. The book will be an invaluable reference for
scientists and engineers working in communications, control or any
other field related to signal processing. It can also be used as a
textbook for graduate courses in electrical engineering and
computer science.
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