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 ...
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) ...
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 ...
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 ...
People also ask
What is the decoding algorithm of Ldpc?
Decoding algorithms for LDPC codes have been discovered and formed several times independently and hence comes under different names. The most common ones are the bit flipping algorithm and the sum-product algorithm. Basically, decoding is divided into two types hard decision decoding and soft decision decoding.
What is the message passing decoding scheme for LDPC codes?
LDPC codes are commonly decoded by an iterative message passing algorithm which consists of two sequential operations: row processing or check node update and column processing or variable node update.
How many iterations are there in Ldpc?
For the LDPC decoder, we adopt the OMS algorithm and the number of iterations is 30. For the Hamming decoder, we use the error-trapping decoding algorithm.
What is the distance for LDPC codes?
LDPC codes have no limitations of minimum distance, that indirectly means that LDPC codes may be more efficient on relatively large code rates (e.g. 3/4, 5/6, 7/8) than turbo codes. However, LDPC codes are not the complete replacement: turbo codes are the best solution at the lower code rates (e.g. 1/6, 1/3, 1/2).
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
An achievability result for reliable memory systems constructed from unreliable components is provided by investigating the effect of noise on standard ...
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