Vergleich von Hardware- und Software-Implementierungen in der digitalen Kommunikation am Beispiel der Kanalcodierung (Hardware-/Software Trade-Offs in Digital Communication Systems with Special Emphasis on Channel-Coding)

2003 ◽  
Vol 45 (6) ◽  
Author(s):  
Norbert Wehn
Keyword(s):  
Channel Coding ◽  
Communication Systems ◽  
Digital Communication ◽  
Trade Offs ◽  
Digital Communication Systems

ZusammenfassungUnsere heutige Informationsgesellschaft erfordert Datenzugriffe an jedem Ort und zu jeder Zeit. Bandbreite und Energie sind hierbei kritische Ressourcen. Deshalb benötigen drahtlose Kommunikationsstandards effiziente Fehlerkorrekturverfahren. In diesem Beitrag diskutieren wir den Entwurfsraum für fortgeschrittene Kanalcodierungsverfahren und präsentieren verschiedene Hardware- und Softwareimplementierungen.

scholarly journals Index Assignment Optimization for Digital Communication Systems Using M-ary Modulation Schemes

2015 ◽  
pp. 38
Author(s):  
Tran Ngoc Tuan ◽  
Nguyen Quoc Trung
Keyword(s):  
Channel Coding ◽  
Noise Level ◽  
Communication Systems ◽  
Digital Communication ◽  
Error Resilience ◽  
Binary Symmetric Channel ◽  
Symmetric Channel ◽  
Joint Source Channel Coding ◽  
Index Assignment ◽  
Digital Communication Systems

Channel-optimized Index Assignment (IA)  of source  codewords  is a  simple  but  effective  approach  of improving  the  error  resilience  of  the  communication systems. Although IA is a type of Joint Source Channel Coding  (JSCC),  it  does  not  intervene  with  the  source codec design. So, in addition to the fact that this method can  be  used  in  designing  systems  effectively,  it  can  be also applied to the existing system. However, these prior IA  methods  have  usually  been  based  on  assuming  a Binary  Symmetric  Channel  (BSC)  and/or  single-bit error in the codeword. These assumptions are only valid when the  modulation  is binary or the  noise level in  the channel is low. In this paper, we study the IA problem in  a  more  general  case in  which  the  modulation  is  2Dsignalling M-ary  (M-ary  PSK, M-ary  QAM),  proposing the  method  to  optimize  IA  for  this  case.  Some simulations results based on this method are also given

scholarly journals Practical understanding of the operating principle of digital communication systems

2019 ◽  
Vol 16 (1) ◽  
pp. 299 ◽  
Author(s):  
Gebrehiwet Gebrekrstos Lema ◽  
Teklehaymanot Baweke Reda ◽  
Dawit Hailu ◽  
Tole Sutikno
Keyword(s):  
Communication System ◽  
Channel Coding ◽  
Communication Systems ◽  
Digital Communication ◽  
Operating Principle ◽  
Binary Channel ◽  
Band Pass ◽  
Digital Communication System ◽  
Convolutional Encoder ◽  
Digital Communication Systems

There are many students and researcher who doesn’t really understand the practical operating principle of digital communication system. Hence in this paper, the digital communication system is studied and simulated. In the system kit development text and audio inputs are taken and encrypted with different encryption techniques including additive cipher, multiplicative cipher and affine ciphers. The encrypted data is converted in to an 8-bit binary, channel encoded with distinct channel coding styles like linear block encoder, cyclic encoder and convolutional encoder, line coded and band pass modulated by different digital modulation techniques. Finally, the developed software is tested with equivalent inputs of the current national TV broadcasting and the results found are correct according to the theoretical analysis of the discussion.

Effects of Deep Learning Technologies on Employment in the Field of Digital Communication Systems

2021 ◽  
Vol 12 (4) ◽  
pp. 35-42
Author(s):  
Thomas Alan Woolman ◽  
Philip Lee
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Communication Systems ◽  
Digital Communication ◽  
The United States ◽  
Learning Technologies ◽  
Technological Unemployment ◽  
Current State ◽  
Challenges And Opportunities ◽  
Digital Communication Systems

There are significant challenges and opportunities facing the economies of the United States in the coming decades of the 21st century that are being driven by elements of technological unemployment. Deep learning systems, an advanced form of machine learning that is often referred to as artificial intelligence, is presently reshaping many aspects of traditional digital communication technology employment, primarily network system administration and network security system design and maintenance. This paper provides an overview of the current state-of-the-art developments associated with deep learning and artificial intelligence and the ongoing revolutions that this technology is having not only on the field of digital communication systems but also related technology fields. This paper will also explore issues and concerns related to past technological unemployment challenges, as well as opportunities that may be present as a result of these ongoing technological upheavals.

Performance Analysis of Digital Communication Systems Over $\alpha$ -$\kappa$ -$\mu$ Fading Channels

2019 ◽  
Vol 23 (1) ◽  
pp. 192-195 ◽  
Author(s):  
Jules M. Moualeu ◽  
Daniel B. da Costa ◽  
Walaa Hamouda ◽  
Ugo S. Dias ◽  
Rausley A. A. de Souza
Keyword(s):  
Performance Analysis ◽  
Fading Channels ◽  
Communication Systems ◽  
Digital Communication ◽  
Digital Communication Systems
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