Optimization of the Ratio of Sampling Rate to Quantization Level for the Reconstruction of Audio Signal

Author(s): Md. Salim Raza*, Nahid Hasan, Sayed Tonmoy Ahamed, Kazi Ghulam Mostafa, Mohammad Rabiul Alam

Journal Name: International Journal of Sensors, Wireless Communications and Control

Volume 9 , Issue 1 , 2019

Become EABM
Become Reviewer
Call for Editor

Graphical Abstract:


Background & Objective: In this research work, the basic digital communication system with frequency shift keying modulation technique has been implemented in MATLAB.

Methods: The same sinusoidal signal in audio frequency range has been transmitted and reconstructed with the different number of quantization level and sampling rate, where sampling frequency has been taken according to the Nyquist theorem. It has been seen that reconstructed signal at low data rate has appeared with better resolution compared with the reconstructed signal at the high data rate.

Results and Conclusion: In this regard, it is evident that the resolution of a reconstructed signal not only depends on data rate but it also depends on the ratio of sampling rate to quantization level. So it is required to optimize the ratio of sampling rate to quantization level before transmitting audio signal.

Keywords: Analog to digital converter, digital to analog converter, frequency shift keying, quantization level, reconstructed signal, sampling rate.

Upamanyu M. Introduction to communication systems. J Comp Sci 2014.
[http://dx.doi.org/10.13140/RG.2.1. 4108.8727]
Godse AP, Bakshi UA. Communication engineering technical publications. 2009; 36. ISBN 978-81-8431- 089-4.
Stern H, Mahmoud S. Communications systems. Pearson Prentice Hall 2004; 283: 20-4.
Lathi BP. Modern digital and analog communication systems. 3rd Edition. Oxford University Press 1998.
Dennish S. An introduction to Bluetooth a standard for short range wireless networking 15th Annual IEEE International ASIC/SOC Conference. Rochester, NY, US. 2002; pp. 474-5.
Blahut RE. Digital transmission of information. Addison-Wesley 1990.
Nan G, Shigeru S. Amplitude and phase modulation for ultrasonic wireless communication. Int J Wireless Mob Netw 2014; 6(2): 436.
Sonal A, Shravan KS, Rita J. A survey of designing an efficient digital communication system using different modulation schemes. Int J Emerg Technol Adv Eng 2014; 4(6): 2250-9.
Aaron M. Digital communications-the silent revolution, communications magazine. IEEE 1997; 17: 16-26.
Principles of Data Acquisition and Conversion. Texas Instruments 2015. Retrieved 2016-10-18.
A Glossary of Analog-to-Digital Specifications and Performance Characteristics, Texas Instruments. Application Report SBAA147B-August 2006-Revised October 2011.
Roe GM. Quantizing for minimum distortion. IEEE Trans Inform 1964; 10: 384-5.
Algazi VR. Useful approximation to optimum quantization. IEEE Trans Commun Technol 1966; 297-301.
Ramamoorthy V. A novel speech coder for medium and high bit rate applications using modulo-PCM principles Acoustics Speech and Signal Processing IEEE Trans 1985; 33: 356-68.
Jeffrey CL. Design considerations for a variable sample rate signal conditioning module. Int Telemeter Conf Proc 2008; 44: 412.
Cvetkovic Z, Vetterli M. On simple oversampled A/D conversion in l2(r). IEEE Trans Inf Theory 2001; 47(1): 146-54.
Saulnier GJ, Scarton HA, Gavens AJ. Through-wall communication of low-rate digital data using ultrasound. IEEE Ultrasonic Symp 2006; 14: 1051-71.
Dan L. The optimal sample rate for quality audio, lavry engineering Inc 2012.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2019
Published on: 16 August, 2018
Page: [111 - 123]
Pages: 13
DOI: 10.2174/2210327908666180817103609
Price: $25

Article Metrics

PDF: 19