By Lajos Hanzo
Contemporary advancements reminiscent of the discovery of robust turbo-decoding and abnormal designs, including the rise within the variety of power functions to multimedia sign compression, have elevated the significance of variable size coding (VLC). offering insights into the very most modern study, the authors learn the layout of various near-capacity VLC codes within the context of instant telecommunications.
The publication commences with an advent to details idea, by way of a dialogue of standard in addition to abnormal Variable size Coding and their purposes in joint resource and channel coding. Near-capacity designs are created utilizing Extrinsic info move (EXIT) chart research. the most recent strategies are mentioned, outlining radical strategies similar to Genetic set of rules (GA) aided development of various VLC codes. The booklet concludes with chapters on VLC-based space-time transceivers in addition to on frequency-hopping assisted schemes, through feedback for destiny paintings at the topic.
- Surveys the historical evolution and improvement of VLCs
- Discusses the very most recent examine into VLC codes
- Introduces the radical suggestion of abnormal VLCs and their software in joint-source and channel coding
Content:
Chapter 1 advent (pages 1–24):
Chapter 2 info thought fundamentals (pages 25–85):
Chapter three resources and resource Codes (pages 91–141):
Chapter four Iterative Source–Channel deciphering (pages 143–185):
Chapter five Three?Stage Serially Concatenated faster Equalization (pages 187–222):
Chapter 6 abnormal Variable?Length Codes for Joint resource and Channel Coding (pages 231–257):
Chapter 7 abnormal Variable?Length Codes for EXIT?Chart Matching (pages 259–289):
Chapter eight Genetic Algorithm?Aided layout of abnormal Variable?Length Coding elements (pages 291–337):
Chapter nine Joint EXIT?Chart Matching of abnormal Variable?Length Coding and abnormal Unity?Rate Coding (pages 339–372):
Chapter 10 Iteratively Decoded Variable–Length Space–Time Coded Modulation: Code development and Convergence research (pages 373–399): S. X. Ng, M. Tao, Jin Wang, Dr Lie?Liang Yang and Lajos Hanzo
Chapter eleven Iterative Detection of Three?Stage Concatenated IrVLC FFH?MFSK (pages 401–419): Dr Sohail Ahmed, R. G. Maunder, Dr Lie?Liang Yang and Lajos Hanzo
Chapter 12 Conclusions and destiny examine (pages 421–448):
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Additional resources for Near-Capacity Variable-Length Coding
Example text
In this way, the allocation of binary codeword pairs having a low Hamming distance to represent quantization level pairs having a low Euclidean distance was demonstrated in [166,167]. Similarly, the authors of [168,169] proposed Channel-Optimized Vector Quantization (COVQ), which employs the channel-optimized indexing of Vector Quantization (VQ) tiles [170]. 3. Joint source and channel coding can also be beneficially employed if some of the source correlation is not removed during source encoding, resulting in the manifestation of residual redundancy [171] within the resultant source-encoded signal.
Wang and Poor [90] Proposed iterative interference cancelation and channel decoding for coded CDMA schemes. 1999 the channel’s capacity. Throughout the 1960s and 1970s the cut-off rate was regarded as a practical design objective, while approaching the channel capacity was deemed to be an unrealistic design goal. The escalating complexity of CC decoding trees may be avoided by employing the more convenient trellises [141] to represent CCs and by applying the Bahl– Cocke–Jelinek–Raviv (BCJR) [48] algorithm.
The components of this system constitute the subject of this monograph; hence they will be treated in greater depth later in this volume. 1 incorporates a source encoder, a channel encoder, an interleaver and a modulator, and their inverse functions at the receiver. , distortionlessly), and it remains oblivious of such practical constraints as a finite delay and limited signal processing complexity. In contrast, a practical source encoder will have to retain a limited signal processing complexity and delay while attempting to reduce the source representation bit rate to as low a value as possible.