A comparative study on the modified Max-Log-MAP turbodecoding by extrinsic information scaling

A simple but effective technique to improve the performance of the Max-Log-MAP algorithm is to scale the extrinsic information exchanged between two MAP decoders. A comprehensive analysis of the selection of the scaling factors according to channel conditions and decoding iterations is presented in this paper. Choosing a constant scaling factor for all SNRs and iterations is compared with the best scaling factor selection for changing channel conditions and decoding iterations. It is observed that a constant scaling factor for all channel conditions and decoding iterations is the best solution and provides a 0.2-0.4 dB gain over the standard Max- Log-MAP algorithm. Therefore, a constant scaling factor should be chosen for the best compromise.

The modified Max-Log-MAP turbo decoding algorithm by extrinsic information scaling for wireless applications

The iterative nature of turbo-decoding algorithms increases their complexity compare to conventional FEC decoding algorithms. Two iterative decoding algorithms, Soft-Output-Viterbi Algorithm (SOVA) and Maximum A posteriori Probability (MAP) Algorithm require complex decoding operations over several iteration cycles. So, for real-time implementation of turbo codes, reducing the decoder complexity while preserving bit-error-rate (BER) performance is an important design consideration. In this chapter, a modification to the Max-Log-MAP algorithm is presented. This modification is to scale the extrinsic information exchange between the constituent decoders. The remainder of this chapter is organized as follows: An overview of the turbo encoding and decoding processes, the MAP algorithm and its simplified versions the Log-MAP and Max-Log-MAP algorithms are presented in section 1. The extrinsic information scaling is introduced, simulation results are presented, and the performance of different methods to choose the best scaling factor is discussed in Section 2. Section 3 discusses trends and applications of turbo coding from the perspective of wireless applications.

The frontiers of participatory public engagement

Currently missing from critical literature on public engagement with academic research is a public-centric analysis of the wider contemporary context of developments in the field of public engagement and participation. Drawing on three differently useful strands of the existing theoretical literature on the public, this article compares a diverse sample of 100 participatory public engagement initiatives in order to first, analyse a selection of the myriad ways that the public is being constituted and supported across this contemporary field and second, identify what socio-cultural researchers might learn from these developments. Emerging from this research is a preliminary map of the field of public engagement and participation. This map highlights relationships and divergences that exist among diverse forms of practice and brings into clearer view a set of tensions between different contemporary approaches to public engagement and participation. Two ‘frontiers’ of participatory public engagement that socio-cultural researchers should attend are also identified. At the first, scholars need to be critical regarding the particular versions of the public that their preferred approach to engagement and participation supports and concerning how their specific identifications with the public relate to those being addressed across the wider field. At the second frontier, researchers need to consider the possibilities for political intervention that public engagement and participation practice could open out, both in the settings they are already working and also in the much broader, rapidly developing and increasingly complicated contemporary field of public engagement and participation that this article explores.