Memory-Reduced Turbo Decoding ArchitectureUsing NII Metric Compression - 2016 PROJECT TITLE : Memory-Reduced Turbo Decoding ArchitectureUsing NII Metric Compression - 2016 ABSTRACT: This brief proposes a replacement compression technique of next-iteration initialization metrics for relaxing the storage demands of turbo decoders. The proposed theme stores only the range of state metrics along with two indexes of the maximum and minimum values, whereas the previous compression strategies have to store all of the state metrics for initializing the subsequent iteration. We have a tendency to conjointly present a hardware-friendly recovery strategy, that will be implemented by straightforward multiplexing networks. Compared to the previous work, thence, the proposed compression method reduces the required storage bits by 30percent while providing the acceptable error-correcting performance in observe. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest VLSI Designs Channel Codes Communication Systems Errorcorrection Codes Memory Compression Hardware and Energy-Efficient Stochastic LU Decomposition Scheme for MIMO Receivers - 2016 In-Field Test for Permanent Faults in FIFO Buffers of NoC Routers - 2016
