For SP decoding, we derive a recursively determined lower bound on the bit error probability after each iteration. This recursive lower bound recovers the ...
Jul 18, 2006 · This recursive lower bound becomes exact and recovers the one-dimensional density evolution equation on the binary erasure channel (BEC).
Jun 20, 2011 · Concentration of decoding performance around its average is shown to hold when noise is introduced into message-passing and local computation.
Missing: Bounds | Show results with:Bounds
The asymptotic iterative decoding performances of low-density parity-check (LDPC) codes using min-sum (MS) and sum-product (SP) decoding algorithms on ...
This article compares the Bit Error Rate (BER) performance of soft and hard decision decoding algorithms of LDPC codes on AWGN channel at different code rates ...
As an example, we focus on the dicode erasure channel. (DEC), which is simply a binary-input channel with a linear response of 1−D and erasure noise. In Section ...
The central goal of research in channel coding is the following: given a particular channel, find a family of codes which have fast (ideally linear-time) ...
People also ask
What is the decoding algorithm of Ldpc?
What is the message passing decoding scheme for LDPC codes?
How many iterations are there in Ldpc?
What is the distance for LDPC codes?
This paper studies limits in processing noisy signals with noisy circuits by investigating the effect of noise on standard iterative decoders for low-density ...
Missing: Bounds | Show results with:Bounds
Abstract—An iterative decoding threshold analysis for termi- nated regular LDPC convolutional (LDPCC) codes is presented. Using density evolution techniques ...
An achievability result for reliable memory systems constructed from unreliable components is provided by investigating the effect of noise on standard ...