Abstract
Novel Two-Bit Adaptive Delta Modulation Algorithms
Highlights
Delta modulation (DM) is a simple analog-to-digital conversion technique widely used in coding of correlated signals, including speech, audio, image, etc
Both Differential Pulse Code Modulation (DPCM) and DM belong to a group of predictive coding algorithms (Gibson, 2016, 2017), which are often used in adaptive signal processing, cognitive signal processing, speech enhancement (Hucha Arce et al, 2017) and artificial intelligence (Hastie et al, 2008)
DM with the fixed step size is known as Linear Delta Modulation (LDM)
Summary
Delta modulation (DM) is a simple analog-to-digital conversion technique widely used in coding (and compression) of correlated signals, including speech, audio, image, etc. SDM is commonly used in analog-to-digital (A/D) signal conversion, where the sampling rates are considerably higher, leading to significantly increased transmission rate defined as the product of the sampling rate and the number of bits per sample used to represent the input amplitude This can be a limiting factor for applications, such as e.g. speech coding, where smaller transmission rates are required. We propose two solutions for 2-bit ADM, with a goal to improve the overall performance of the one presented in Prosalentis and Tombras (2007) Both developed algorithms perform frame-by-frame processing of the input signal, and estimate the frame variance to adapt the systems to the input signal variations.
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