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Abstract—One of the most significant impediments to the use of LDPC codes in many communication and storage systems is the error-rate floor phenomenon associated with their iterative decoders. The error floor has been attributed to certain sub- graphs of an LDPC code's Tanner graph induced by so-called trapping sets.
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The error floor is a phenomenon encountered in modern iterated sparse graph- based error correcting codes like LDPC codes and turbo codes. When the bit error ratio (BER) is plotted for conventional codes like Reed–Solomon codes under algebraic decoding or for convolutional codes under Viterbi decoding, the BER.
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PDF Error Floors in LDPC Codes: Fast Simulation, Bounds and. – Error Floors in LDPC Codes: Fast Simulation, Bounds and Hardware Emulation Pamela Lee †, Lara Dolecek‡, Zhengya Zhang , Venkat Anantharam , Borivoje Nikolic.
Error Floors of LDPC Codes Tom Richardson Flarion Technologies. By our estimates, this accounts for about 75% of the error ﬂoor performance, and 1320
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The error floor is a phenomenon encountered in modern iterated sparse graph-based error correcting codes like LDPC codes and turbo codes. When the bit error ratio.
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The graph of an iteratively decoded code's error rate performance versus the channel quality is typically divided into two regions. The error floor region appears at higher channel quality and is characterized by a more gradual decrease in error rate as channel quality improves. For iterative decoders the error floor is.
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