Author :
Mansour, Christopher ; Achkar, Roger ; Haidar, Gaby Abou
Author_Institution :
Dept. of Comput. & Commun. Eng., American Univ. of Sci. & Technol., Beirut, Lebanon
Abstract :
Through years, Digital Communication systems, Pulse Coded Modulation (PCM), Linear Delta Modulation (LDM), Differential Pulse Coded Modulation (DPCM), and Adaptive Delta Modulation (ADM), have proven their unlimited advantages over analog communication systems, in term of error minimization, and distances of transmission enhancement. However two of these systems, the Pulse Coded Modulation and Linear Delta Modulation, still have some weaknesses limiting their advantages, these limitations negatively affect the communication process causing quantization error, slope overload distortion and granular noise. On the other hand, communication engineers have developed two additional digital communication systems which are the Adaptive Delta Modulation (ADM) and the Differential Pulse Coded Modulation (DPCM) in order to solve the aforementioned problems. This paper discusses the implementation and simulation of the aforementioned digital communication systems using Simulink (The Math Works, Inc., Natick, MA, USA) showing the effect of different types of noise when applied to the channel, thus, proving the importance of DPCM and ADM systems in eliminating such effects and ensuring a successful transfer of data.
Keywords :
adaptive modulation; delta modulation; differential pulse code modulation; digital communication; ADM system; DPCM system; LDM; Simulink; adaptive delta modulation; analog communication systems; communication engineers; differential pulse coded modulation; digital communication systems; error minimization; granular noise; linear delta modulation; pulse coded modulation; quantization error; slope overload distortion; Delta modulation; Modulation; Noise; Phase change materials; Quantization; Receivers; Transmitters; Adaptive Delta Modulation; Differential Pulse Coded Modulation; Linear Delta Modulation; Pulse Coded Modulation;