VLSI architectures for turbo codes
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Memory optimization of MAP turbo decoder algorithms
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Vlsi Architectures For High-Speed Map Decoders
VLSID '01 Proceedings of the The 14th International Conference on VLSI Design (VLSID '01)
VLSI architectures for SISO-APP decoders
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Area-efficient high-speed decoding schemes for turbo decoders
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Iterative decoding of binary block and convolutional codes
IEEE Transactions on Information Theory
Concatenated convolutional codes with interleavers
IEEE Communications Magazine
Transforming set data types to power optimal data structures
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Journal on Selected Areas in Communications
Traceback-Based Optimizations for Maximum a Posteriori Decoding Algorithms
Journal of Signal Processing Systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
VLSI architectures for sliding-window-based space-time turbo trellis code decoders
Journal of Electrical and Computer Engineering - Special issue on Implementations of Signal-Processing Algorithms for OFDM Systems
A low-complexity turbo decoder architecture for energy-efficient wireless sensor networks
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Reconfigurable Parallel Turbo Decoder Design for Multiple High-Mobility 4G Systems
Journal of Signal Processing Systems
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Turbo codes have received tremendous attention and have commenced their practical applications due to their excellent error-correcting capability. Investigation of efficient iterative decoder realizations is of particular interest because the underlying soft-input soft-output decoding algorithms usually lead to highly complicated implementation. This paper describes the architectural design and analysis of sliding-window (SW) Log-MAP decoders in terms of a set of predetermined parameters. The derived mathematical representations can be applied to construct a variety of VLSI architectures for different applications. Based on our development, a SW-Log-MAP decoder complying with the specification of third-generation mobile radio systems is realized to demonstrate the performance tradeoffs among latency, average decoding rate, area/computation complexity, and memory power consumption. This paper thus provides useful and general information on practical implementation of SW-Log-MAP decoders.