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Convolutional Encoding and Viterbi Decoding
2003We introduce the notion of innovations for Viterbidecoding of convolutional codes. First we define a kind of innovationcorresponding to the received data, i.e., the input to a Viterbidecoder. Then the structure of a Scarce-State-Transition (SST)Viterbi decoder is derived in a natural manner.
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Truncation length for Viterbi decoding
IEEE Transactions on Communications, 1991A bound is derived and analyzed for the bit error rate (BER) of a Viterbi decoder with survivor truncation. Estimates of the SNR (signal-to-noise ratio) loss on the AWGN (additive white Gaussian noise) channel due to truncation are obtained for convolutional codes. Larger truncation lengths are required than the smallest value that does not effectively
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Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
IEEE Transactions on Information Theory, 1967A. Viterbi
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New feedback Viterbi decoder for digital VCRs
IEEE Transactions on Consumer Electronics, 1995A feedback Viterbi decoder that is not affected by rapid fluctuation in the spacing loss has been developed for digital VCRs. The bit error rate was decreased to less than 1/5 of the value found in conventional Viterbi decoders. >
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Memory Management in a Viterbi Decoder
IEEE Transactions on Communications, 1981Management of the memory contents in a Viterbi decoder is a major design problem for both hardware and software realizations. In a naive implementation, every bit in the memory must be changed (read, modified, and rewritten) for each message bit decoded, and, in addition, some double buffering is required.
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Research and implementation of Viterbi decoding in TD-LTE system
IEEE Advanced Information Technology, Electronic and Automation Control Conference, 2017Li Li-fu +3 more
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Efficient parallel implementation of three‐point viterbi decoding algorithm on CPU, GPU, and FPGA
Concurrency and Computation, 2014Rongchun Li, Y. Dou, Dan Zou
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Viterbi decoding for latent words language models using gibbs sampling
Interspeech, 2013Ryo Masumura +4 more
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Viterbi-Aided Successive-Cancellation Decoding of Polar Codes
Global Communications Conference, 2017Arman Fazeli, Kuangda Tian, A. Vardy
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Optimal Graph Transformer Viterbi knowledge inference network for more successful visual navigation
Advanced Engineering Informatics, 2023Kang Zhou, , Huyin Zhang
exaly