Oversampling Technique for Optimizing the Signal to Quantization Noise Ratio for A/D Converter

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2015 by IJETT Journal
Volume-30 Number-8
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[8]. 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[1]. 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[9].


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oversampling, A/D converter, multirate signal processing, single-bit quantization, multi-bit quantization.