Skip to search formSkip to main contentSkip to account menu

Soft-in soft-out decoder

Known as: SISO, Soft-in soft-out, Soft-in soft-out decoding 
A soft-in soft-out (SISO) decoder is a type of soft-decision decoder used with error correcting codes. "Soft-in" refers to the fact that the incoming… 
Wikipedia (opens in a new tab)

Related topics

Related topics

9 relations
BCJR algorithmDecoding methodsForward error correctionLow-density parity-check code

Broader (1)

Error detection and correction

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Implementation Trade-Offs of Soft-Input Soft-Output MAP Decoders for Convolutional Codes
Soft-input soft-output (SISO) maximum a-posteriori (MAP) decoders for convolutional codes (CCs) are an integral part of many… 
2011
2011
Complexity Reduction in Iterative Soft-In Soft-Out Sphere Detection
Soft-In Soft-Out (SISO) MIMO detection algorithms providing soft information to subsequent channel decoder are computationally… 
Highly Cited
2011
Highly Cited
2011
Novel Robot Manipulator Adaptive Artificial Control: Design a Novel SISO Adaptive Fuzzy Sliding Algorithm Inverse Dynamic Like Method.
Refer to the research, design a novel SISO adaptive fuzzy sliding algorithm inverse dynamic like method (NAIDLC) and… 
2009
2009
Iterative Soft-In Soft-Out Sphere Detection for MIMO Systems
Soft-Input Soft-Output (SISO) tree search algorithms pro- vide a promising approach for complexity reduced iterative MIMO… 
2009
2009
Cooperative Network Coding with Soft Information Relaying in Two-way Relay Cchannels
Network coding in wireless network can improve network throughput by exploiting the broadcast nature of the wireless network… 
2007
2007
The Diversity-Multiplexing Tradeoff of Linear MIMO Receivers
While most literature on MIMO (multiple-input, multiple-output) multiantenna communications and space-time coding has considered… 
2002
2002
Suppression of effects of nonlinearities in a class of nonlinear systems by disturbance observers
In this paper, a class of single-input single-output (SISO) nonlinear systems is considered. A nonlinear system in this class has… 
1998
1998
FIR Model Identification: Achieving Parsimony through Kernel Compression with Wavelets
throughreconstruction of a corresponding continuous function from sampled values of thatfunction. Clearly, techniques more… 
1989
1989
Sensitivity of structures for the identification of linear systems from impulse response data
The authors investigate the usefulness of structures with high parameter sensitivities for the purpose of increasing the… 
1985
1985
Order reduction of SISO nonminimum phase stochastic systems
We consider the order reduction problem for single-input/single-output nonminimum-phase linear stochastic systems. The problem is… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)