Adaptive Decoding for Fulcrum Codes

Author(s):  
Vu Nguyen ◽  
Juan A. Cabrera ◽  
Giang T. Nguyen ◽  
Frank Gabriel ◽  
Christopher Lehmann ◽  
...  
Keyword(s):  
Author(s):  
Juliy Boiko ◽  
Ilya Pyatin ◽  
Oleksander Eromenko ◽  
Mykhailo Stepanov

<p>The methodology description of the adaptive multi-threshold decoding of self-orthogonal codes in the telecommunication channels of information transfer is shown in this paper. The method of multi-threshold decoder modification is described on the basis of adaptive filtration algorithms. Principles of adaptive algorithms application provide for necessary data transmission validity in the case of the multi-threshold decoding are explored. The graphic charts of multi-threshold decoders noise immunity of self-orthogonal block and convolutional codes are presented. It is determined the coding gain (CG) for multi-threshold decoding schemes. The result of research conducted in the course of the paper is to develop a set of scientifically grounded theoretical positions and practical recommendations and proposals for the development of mechanisms of formalization of description of method of increasing of noise immunity of telecommunication systems transmitting information to the synthesis and improving receiver circuit modulated signals on the theory and practice the use of signal-code constructions (SCC) when deciding maximize system capacity information transmission in the presence of noise.</p>


2011 ◽  
Vol 135-136 ◽  
pp. 171-178
Author(s):  
Shuai Yuan ◽  
Min Dan Bai ◽  
Hua Qing Zhang

As a powerful branch of error-control coding, Turbo codes have been paid a great attention since they are proposed. Due to the powerful error correcting capability, Turbo codes are very attractive for mobile wireless systems to combat channel fading. However, there are many kinds of decoding algorithms for Turbo codes, any of them have merits and demerits. In this paper, we present a new method to decode Turbo codes over cdma2000 mobile system, that is introducing a controller to achieve the purposer of adaptive decoding. And this method make the system more reliable.


2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Li Ba ◽  
Mingshun Yang ◽  
Xinqin Gao ◽  
Yong Liu ◽  
Zhoupeng Han ◽  
...  

Process planning and scheduling are two important components of manufacturing systems. This paper deals with a multiobjective just-in-time integrated process planning and scheduling (MOJIT-IPPS) problem. Delivery time and machine workload are considered to make IPPS problem more suitable for manufacturing environments. The earliness/tardiness penalty, maximum machine workload, and total machine workload are objectives that are minimized. The decoding method is a crucial part that significantly influences the scheduling results. We develop a self-adaptive decoding method to obtain better results. A nondominated sorting genetic algorithm with self-adaptive decoding (SD-NSGA-II) is proposed for solving MOJIT-IPPS. Finally, the model and algorithm are proven through an example. Furthermore, different scale examples are tested to prove the good performance of the proposed method.


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