Paper Details: Downloads: 1838
Serial Number: P1181632510
Title: DPCM Soft Modelling in Open-Loop Representations
Authors: Fahim Salauddin
Abstract: In Differential Pulse Coded Modulation (DPCM) the prediction of the next sample value is formed from the past values. This prediction can be considered as a set of instruction for the quantizer to conduct its next sample value in a particular interval. By using the redundancy in the signal to form a prediction, the region of uncertainty is reduced and the quantization can be performed with a reduced amount of decisions (or bits) for a given quantization level or reduced amount of quantization levels for a given number of decisions (or bits). This paper basically focuses on the software modeling of an open-loop DPCM structure by using MATLAB. During Simulation, comparisons were made in terms of different Signal to Noise ratios by using different number of bits per sample of the uniform quantization process and the prediction orders and their optimal values were determined. By determining these optimal values of number of bits as well as the prediction orders, the implementation of open-loop DPCM in production scenarios such as lossless compression or embedded compression could be made much more efficiently. Standalone graphical user interface (GUI) was developed for this task.
Keywords: dpcm, open-loop dpcm, quantization, differential pulse coded modulation, prediction error, pulse amplitude modulation, pulse coded modulation
Journal/Conference: International Journal of Digital Signal Processing
Volume: 16
Issue: 2
Submission Date: 8/3/2016 12:00:00 AM
Review Date: 8/21/2016 12:00:00 AM
Publishing Date: 8/29/2016 12:00:00 AM
Article Downloads: 1838
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