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The unprecedented growth in the range of multimedia services
offered these days by modern telecommunication systems has been
made possible only because of the advancements in signal processing
technologies and algorithms. In the area of telecommunications,
application of signal processing allows for new generations of
systems to achieve performance close to theoretical limits, while
in the area of multimedia, signal processing the underlying
technology making possible realization of such applications that
not so long ago were considered just a science fiction or were not
even dreamed about. We all learnt to adopt those achievements very
quickly, but often the research enabling their introduction takes
many years and a lot of efforts. This book presents a group of
invited contributions, some of which have been based on the papers
presented at the International Symposium on DSP for Communication
Systems held in Coolangatta on the Gold Coast, Australia, in
December 2003. Part 1 of the book deals with applications of signal
processing to transform what we hear or see to the form that is
most suitable for transmission or storage for a future retrieval.
The first three chapters in this part are devoted to processing of
speech and other audio signals. The next two chapters consider
image coding and compression, while the last chapter of this part
describes classification of video sequences in the MPEG domain.
Advanced Signal Processing for Communication Systems consists of 20
contributions from researchers and experts. The first group of
chapters deals with the audio and video processing for
communications applications, including topics ranging from
multimedia content delivery over the Internet, through the speech
processing and recognition to recognition of non-speech sounds that
can be attributed to the surrounding environment. The book also
includes sections on applications of error control coding,
information theory, and digital signal processing for communication
systems like modulation, software-defined radio, and channel
estimation. Advanced Signal Processing for Communication Systems is
written for researchers working on communication systems and signal
processing, as well as telecommunications industry professionals.
Digital Signal Processing for Communication Systems examines the
plans for the future and the progress that has already been made,
in the field of DSP and its applications to communication systems.
The book pursues the progression from communication and information
theory through to the implementation, evaluation and performance
enhancing of practical communication systems using DSP technology.
Digital Signal Processing for Communication Systems looks at
various types of coding and modulation techniques, describing
different applications of Turbo-Codes, BCH codes and general block
codes, pulse modulations, and combined modulation and coding in
order to improve the overall system performance. The book examines
DSP applications in measurements performed for channel
characterisation, pursues the use of DSP for design of effective
channel simulators, and discusses equalization and detection of
various signal formats for different channels. A number of system
design issues are presented where digital signal processing is
involved, reporting on the successful implementation of the system
components using DSP technology, and including the problems
involved with implementation of some DSP algorithms. Digital Signal
Processing for Communication Systems serves as an excellent
resource for professionals and researchers who deal with digital
signal processing for communication systems, and may serve as a
text for advanced courses on the subject.
It is a great pleasure to be asked to write the Preface for this
book on trellis decoding of error correcting block codes. The
subject is extremely significant both theoretically and
practically, and is very timely because of recent devel opments in
the microelectronic implementation and range of application of
error-control coding systems based on block codes. The authors have
been notably active in signal processing and coding research and
development for several years, and therefore very well placed to
contribute to the state of the art on the subject of trellis
decoding. In particular, the book represents a unique approach to
many practical aspects of the topic. As the authors point out,
there are two main classes of error control codes: block codes and
convolutinal codes. Block codes came first historically and have a
well-developed mathematical structure. Convolutional codes come
later, and have developed heuristically, though a more formal
treatment has emerged via recent developments in the theory of
symbolic dynamics. Max imum likelihood (ML) decoding of powerful
codes in both these classes is computationally complex in the
general case; that is, ML decoding fails into the class of NP-hard
computational problems. This arieses because the de coding
complexity is an exponential function of key parameters of the
code."
The unprecedented growth in the range of multimedia services
offered these days by modern telecommunication systems has been
made possible only because of the advancements in signal processing
technologies and algorithms. In the area of telecommunications,
application of signal processing allows for new generations of
systems to achieve performance close to theoretical limits, while
in the area of multimedia, signal processing the underlying
technology making possible realization of such applications that
not so long ago were considered just a science fiction or were not
even dreamed about. We all learnt to adopt those achievements very
quickly, but often the research enabling their introduction takes
many years and a lot of efforts. This book presents a group of
invited contributions, some of which have been based on the papers
presented at the International Symposium on DSP for Communication
Systems held in Coolangatta on the Gold Coast, Australia, in
December 2003. Part 1 of the book deals with applications of signal
processing to transform what we hear or see to the form that is
most suitable for transmission or storage for a future retrieval.
The first three chapters in this part are devoted to processing of
speech and other audio signals. The next two chapters consider
image coding and compression, while the last chapter of this part
describes classification of video sequences in the MPEG domain.
Recent advancements in communication systems performance have been
only possible because of digital signal processing applied in all
areas of communication systems development and implementation.
Advanced Signal Processing for Communication Systems consists of 20
contributions from researchers and experts.
The first group of chapters deals with the audio and video
processing for communications applications, including topics
ranging from multimedia content delivery over the Internet, through
the speech processing and recognition to recognition of non-speech
sounds that can be attributed to the surrounding environment.
Significant attention is given to orthogonal frequency division
multiplexing (OFDM) in its various forms, e.g. HIPERLAN, IEEE 802,
11 a. Aspects of OFDM technology covered include novel forms of
modulation and coding, methods of reducing in-band and out-of-band
spurious signal generation, and means of reducing the
peak-to-average power ratio of an OFDM waveform. In these
contributions, a key objective is to return the inherent
implementational simplicity of the OFDM technique while enhancing
its performance relative to single carrier systems.
Digital signal processing for second and third generation systems
is represented in the book as well. The topics cover both
theoretical issues like spreading sequence design and
implementation issues of 3G user equipment modem, and MMSE
receivers for CDMA systems. A useful comparison of complexity of
channel estimation, equalization and decoding for GSM receivers is
discussed, too.
The book also includes sections on applications of error control
coding, information theory, and digital signal processing for
communication systems like modulation, software-defined radio, and
channel estimation.
Advanced Signal Processing for Communication Systems is written for
researchers working on communication systems and signal processing,
as well as telecommunications industry professionals.
This book constitutes the refereed proceedings of the 8th International IMA Conference on Cryptography and Coding held in Cirencester, UK in December 2001. The 33 revised full papers presented together with four invited papers were carefully reviewed and selected from numerous submissions. Among the topics covered are mathematical bounds, statistical decoding schemes for error-correcting codes, multifunctional and multiple access communication systems, low density parity check codes, iterative coding, authentication, key recovery attacks, stream cipher design, analysis of ECIES algorithms, and lattice bases attacks on IP based protocols.
Digital Signal Processing for Communication Systems examines the
plans for the future and the progress that has already been made,
in the field of DSP and its applications to communication systems.
The book pursues the progression from communication and information
theory through to the implementation, evaluation and performance
enhancing of practical communication systems using DSP technology.
Digital Signal Processing for Communication Systems looks at
various types of coding and modulation techniques, describing
different applications of Turbo-Codes, BCH codes and general block
codes, pulse modulations, and combined modulation and coding in
order to improve the overall system performance. The book examines
DSP applications in measurements performed for channel
characterisation, pursues the use of DSP for design of effective
channel simulators, and discusses equalization and detection of
various signal formats for different channels. A number of system
design issues are presented where digital signal processing is
involved, reporting on the successful implementation of the system
components using DSP technology, and including the problems
involved with implementation of some DSP algorithms. Digital Signal
Processing for Communication Systems serves as an excellent
resource for professionals and researchers who deal with digital
signal processing for communication systems, and may serve as a
text for advanced courses on the subject.
It is a great pleasure to be asked to write the Preface for this
book on trellis decoding of error correcting block codes. The
subject is extremely significant both theoretically and
practically, and is very timely because of recent devel opments in
the microelectronic implementation and range of application of
error-control coding systems based on block codes. The authors have
been notably active in signal processing and coding research and
development for several years, and therefore very well placed to
contribute to the state of the art on the subject of trellis
decoding. In particular, the book represents a unique approach to
many practical aspects of the topic. As the authors point out,
there are two main classes of error control codes: block codes and
convolutinal codes. Block codes came first historically and have a
well-developed mathematical structure. Convolutional codes come
later, and have developed heuristically, though a more formal
treatment has emerged via recent developments in the theory of
symbolic dynamics. Max imum likelihood (ML) decoding of powerful
codes in both these classes is computationally complex in the
general case; that is, ML decoding fails into the class of NP-hard
computational problems. This arieses because the de coding
complexity is an exponential function of key parameters of the
code."
This book contains papers presented at a special Symposium,
Communications and Coding, held to celebrate the 60th birthday of
Professor Paddy Farrell on 25th January 1998. Professor Farrell has
made an outstanding contribution to the fields of digital
communications in general, and error control in particular, with
many significant publications and invited papers. The themes of the
Symposium reflect Professor Farrell's specialist interests over the
years: error control coding, encryption and sequence design,
decoding of error control codes, signal processing in
communications systems and communications systems and networks.
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