Global ETD Search

11	Advances in multi-user scheduling and turbo equalization for wireless MIMO systems Fuchs-Lautensack, Martin January 2009 (has links) Zugl.: Ilmenau, Techn. Univ., Diss., 2009
12	Optimized belief propagation decoding for low delay applications in digital communications / Hehn, Thorsten. January 2009 (has links) Zugl.: Erlangen, Nürnberg, University, Diss., 2009.
13	Efficient receiver methods for coded systems under channel uncertainty Fonseca dos Santos, André January 2010 (has links) Zugl.: Dresden, Techn. Univ., Diss., 2010
14	Comparison of LDPC Block and LDPC Convolutional Codes based on their Decoding Latency Hassan, Najeeb ul, Lentmaier, Michael, Fettweis, Gerhard P. 11 February 2013 (has links) (PDF) We compare LDPC block and LDPC convolutional codes with respect to their decoding performance under low decoding latencies. Protograph based regular LDPC codes are considered with rather small lifting factors. LDPC block and convolutional codes are decoded using belief propagation. For LDPC convolutional codes, a sliding window decoder with different window sizes is applied to continuously decode the input symbols. We show the required Eb/N0 to achieve a bit error rate of 10 -5 for the LDPC block and LDPC convolutional codes for the decoding latency of up to approximately 550 information bits. It has been observed that LDPC convolutional codes perform better than the block codes from which they are derived even at low latency. We demonstrate the trade off between complexity and performance in terms of lifting factor and window size for a fixed value of latency. Furthermore, the two codes are also compared in terms of their complexity as a function of Eb/N0. Convolutional codes with Viterbi decoding are also compared with the two above mentioned codes. Bitfehlerrate Block-Codes Komplexitätstheorie Faltungscodes Decodierung Iterative Decodierung Sonderforschungsbereich 912 Hochadaptive Energieeffiziente Systeme HAEC Bit error rate Block codes Complexity theory Convolutional codes Decoding Iterative decoding Collaborative Research Centre 912 ddc:620 ddc:621.3 rvk:ZN 6045
15	Comparison of LDPC Block and LDPC Convolutional Codes based on their Decoding Latency Hassan, Najeeb ul, Lentmaier, Michael, Fettweis, Gerhard P. January 2012 (has links) We compare LDPC block and LDPC convolutional codes with respect to their decoding performance under low decoding latencies. Protograph based regular LDPC codes are considered with rather small lifting factors. LDPC block and convolutional codes are decoded using belief propagation. For LDPC convolutional codes, a sliding window decoder with different window sizes is applied to continuously decode the input symbols. We show the required Eb/N0 to achieve a bit error rate of 10 -5 for the LDPC block and LDPC convolutional codes for the decoding latency of up to approximately 550 information bits. It has been observed that LDPC convolutional codes perform better than the block codes from which they are derived even at low latency. We demonstrate the trade off between complexity and performance in terms of lifting factor and window size for a fixed value of latency. Furthermore, the two codes are also compared in terms of their complexity as a function of Eb/N0. Convolutional codes with Viterbi decoding are also compared with the two above mentioned codes. info:eu-repo/classification/ddc/620 ddc:620 info:eu-repo/classification/ddc/621.3 ddc:621.3
16	Reduced Complexity Window Decoding Schedules for Coupled LDPC Codes Hassan, Najeeb ul, Pusane, Ali E., Lentmaier, Michael, Fettweis, Gerhard P., Costello, Daniel J. 14 February 2013 (has links) (PDF) Window decoding schedules are very attractive for message passing decoding of spatially coupled LDPC codes. They take advantage of the inherent convolutional code structure and allow continuous transmission with low decoding latency and complexity. In this paper we show that the decoding complexity can be further reduced if suitable message passing schedules are applied within the decoding window. An improvement based schedule is presented that easily adapts to different ensemble structures, window sizes, and channel parameters. Its combination with a serial (on-demand) schedule is also considered. Results from a computer search based schedule are shown for comparison. Bismut Decodierung Parity-Check-Codes Sonderforschungsbereich 912 Hochadaptive Energieeffiziente Systeme Bismuth Decoding Floods Parity check codes decoding complexity Collaborative Research Centre 912 ddc:621.3 ddc:620 rvk:ZN 6045 rvk:ZN 6015
17	Reduced Complexity Window Decoding Schedules for Coupled LDPC Codes Hassan, Najeeb ul, Pusane, Ali E., Lentmaier, Michael, Fettweis, Gerhard P., Costello, Daniel J. January 2012 (has links) Window decoding schedules are very attractive for message passing decoding of spatially coupled LDPC codes. They take advantage of the inherent convolutional code structure and allow continuous transmission with low decoding latency and complexity. In this paper we show that the decoding complexity can be further reduced if suitable message passing schedules are applied within the decoding window. An improvement based schedule is presented that easily adapts to different ensemble structures, window sizes, and channel parameters. Its combination with a serial (on-demand) schedule is also considered. Results from a computer search based schedule are shown for comparison. info:eu-repo/classification/ddc/621.3 ddc:621.3 info:eu-repo/classification/ddc/620 ddc:620

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