- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) - Hangzhou, China (2018.10.18-2018.10.20)] 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) - A Hybrid Decoding Algorithm for Low-Rate LDPC codes in 5G
摘要： A hybrid decoding algorithm for low-density parity-check codes is presented. The proposed algorithm applies different updating schemes, such as the normalized min-sum (NMS) simplification and linear approximation, to the check-node based on its degree. Meanwhile, to eliminate the dependence on the channel variance estimation, the proposed algorithm adopts a multiplicative factor to initialize the channel input and a fixed linear functions for check-node updating. From the iterative thresholds and decoding simulations, our proposed algorithm can be shown to achieve improved performance (much closer to that of the belief propagation decoding) at the expense of a slight increase in complexity to NMS algorithm.
关键词： LDPC codes,iterative decoding,low rate LDPC codes,hybrid decoding
更新于2025-09-23 15:23:52
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[IEEE 2019 Sixth Iranian Conference on Radar and Surveillance Systems - Isfahan, Iran (2019.12.4-2019.12.6)] 2019 Sixth Iranian Conference on Radar and Surveillance Systems - A Novel Two-Way Gysel Power Divider Based on Ridge-Gap Waveguide Technology
摘要： An iterative turbo decoder-based cross layer error recovery scheme for compressed video is presented in this paper. The soft information exchanged between two convolutional decoders is reinforced both by channel coded parity and video compression syntactical information. An algorithm to identify the video frame boundaries in corrupted compressed sequences is formulated. This paper continues to propose algorithms to deduce the correct values for selected fields in the compressed stream. Modifying the turbo extrinsic information using these corrections acts as reinforcements in the turbo decoding iterative process. The optimal number of turbo iterations suitable for the proposed system model is derived using EXIT charts. Simulation results reveal that a transmission power saving of 2.28% can be achieved using the proposed methodology. Contrary to typical joint cross layer decoding schemes, the additional resource requirement is minimal, since the proposed decoding cycle does not involve the decompression function.
关键词： EXIT charts,mobile communication,iterative decoding,video compression,Combined source channel coding,turbo codes
更新于2025-09-23 15:19:57
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[IEEE 2019 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) - Richland, WA, USA (2019.10.20-2019.10.23)] 2019 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) - The Anti-Interference Method of Michelson Optical Fiber Interferometer for GIS Partial Discharge Ultrasonic Detection
摘要： Performance of automatic speech recognition (ASR) systems can significantly be improved by integrating further sources of information such as additional modalities, or acoustic channels, or acoustic models. Given the arising problem of information fusion, striking parallels to problems in digital communications are exhibited, where the discovery of the turbo codes by Berrou et al. was a groundbreaking innovation. In this paper, we show ways how to successfully apply the turbo principle to the domain of ASR and thereby provide solutions to the above-mentioned information fusion problem. The contribution of our work is fourfold: First, we review the turbo decoding forward-backward algorithm (FBA), giving detailed insights into turbo ASR, and providing a new interpretation and formulation of the so-called extrinsic information being passed between the recognizers. Second, we present a real-time capable turbo-decoding Viterbi algorithm suitable for practical information fusion and recognition tasks. Then we present simulation results for a multimodal example of information fusion. Finally, we prove the suitability of both our turbo FBA and turbo Viterbi algorithm also for a single-channel multimodel recognition task obtained by using two acoustic feature extraction methods. On a small vocabulary task (challenging, since spelling is included), our proposed turbo ASR approach outperforms even the best reference system on average over all SNR conditions and investigated noise types by a relative word error rate (WER) reduction of 22.4% (audio-visual task) and 18.2% (audio-only task), respectively.
关键词： hidden Markov models,Speech recognition,multimedia systems,robustness,iterative decoding
更新于2025-09-19 17:13:59
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A Fusion Firefly Algorithm with Simplified Propagation for Photovoltaic MPPT under Partial Shading Conditions
摘要： Performance of automatic speech recognition (ASR) systems can significantly be improved by integrating further sources of information such as additional modalities, or acoustic channels, or acoustic models. Given the arising problem of information fusion, striking parallels to problems in digital communications are exhibited, where the discovery of the turbo codes by Berrou et al. was a groundbreaking innovation. In this paper, we show ways how to successfully apply the turbo principle to the domain of ASR and thereby provide solutions to the above-mentioned information fusion problem. The contribution of our work is fourfold: First, we review the turbo decoding forward-backward algorithm (FBA), giving detailed insights into turbo ASR, and providing a new interpretation and formulation of the so-called extrinsic information being passed between the recognizers. Second, we present a real-time capable turbo-decoding Viterbi algorithm suitable for practical information fusion and recognition tasks. Then we present simulation results for a multimodal example of information fusion. Finally, we prove the suitability of both our turbo FBA and turbo Viterbi algorithm also for a single-channel multimodel recognition task obtained by using two acoustic feature extraction methods. On a small vocabulary task (challenging, since spelling is included), our proposed turbo ASR approach outperforms even the best reference system on average over all SNR conditions and investigated noise types by a relative word error rate (WER) reduction of 22.4% (audio-visual task) and 18.2% (audio-only task), respectively.
关键词： robustness,Speech recognition,multimedia systems,iterative decoding,hidden Markov models
更新于2025-09-16 10:30:52