Oversampling Technique for Optimizing the Signal to Quantization Noise Ratio for A/D Converter
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2015 by IJETT Journal|
|Year of Publication : 2015|
|Authors : Sumit Grover, Dr. Rajesh Mehra
|DOI : 10.14445/22315381/IJETT-V30P271|
Sumit Grover, Dr. Rajesh Mehra"Oversampling Technique for Optimizing the Signal to Quantization Noise Ratio for A/D Converter", International Journal of Engineering Trends and Technology (IJETT), V30(8),379-381 December 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
The circuits we are using in daily life are processing digital signals but the real world data or the data sensed by the sensor are analog in nature and there are very fewer sensors which are providing us the digital data which means the data conversion is very much important. We know very well that whenever we are converting the analog data to the digital format we are going to take the samples of the analog signal and the accuracy of this conversion process is completely depend upon the number of samples and the number of bits of data that is taken of the analog signal. During this transition, the error occurs in the original signal and reconstructed signal is known as quantization noise. This noise can be minimized by using more number of bits or by increasing the number of samples. The number of samples are enhanced by oversampling technique, which will directly increase the signal to noise ratio. In this paper, some graph are explaining the impoved signal to noise ratio in A/D by using oversampling technique.
 Sanjit K Mitra “Digital Signal Processing” Tata McGRAWHill,
ISBN 0-07-060109-7, pp171, pp920-921, Third Edition, 2006  G. C. Temes, “An Overview of Nyquist-Rate and Oversampled Data Converters in Telecommunications,” Actas I. Conferencia Nacional de Telecommunicacoes, Aveiro, Portugal, pp. 15-18, April 10-11, 1997.
 Emmanuel C. Ifeachor, Barrie W. Jervis “Digital Signal Processing” Pearson Education, ISBN 978-81-317-0824-8 2007, pp86-87, Second Edition, 2007.
 Gabor C. Temes “Oversampling A/D And D/A Converters” Dept. of Electrical and Computer Engineering, Oregon State University, Corvallis, OR 97331, USA
 Sugreev Kaur, Rajesh Mehra, “High Speed and Area Efficient 2D DWT Processor based Image Compression" Signal & Image Processing” An International Journal(SIPIJ) Vol.1, No.2, December 2010
 Shaminder Kaur, Rajesh Mehra, “FPGA Implementation of OFDM Transceiver using FFT Algorithm” International Journal of Engineering Science and Technology (IJEST), ISSN : 0975-5462, Vol. 4 No.04 April 2012
 Rajesh Mehra, Garima Saini, Sukhbir Singh, “FPGA based high speed BCH encoder for wireless communication applications”, Communication Systems and Network Technologies (CSNT), 2011 International Conference pp576-579.
 Lipika Gupta, Rajesh Mehra, “Modified PSO based adaptive IIR filter design for system identification on FPGA”, International Journal of Computer Applications (0975 – 8887) Volume22– No.5, pp1-7 May 2011
 Rajesh Mehra, Abhishek Singh, “Real time RSSI error reduction in distance estimation using RLS algorithm”, Advance Computing Conference (IACC), 2013 IEEE 3rd International, pp661-665, 2013.
oversampling, A/D converter, multirate signal processing, single-bit quantization, multi-bit quantization.