NDLI: Level crossing speech sampling and its sparsity promoting reconstruction using an iterative method with adaptive thresholding

Content Provider	IET Digital Library
Author	Mashhadi, Mahdi Boloursaz Salarieh, Nikan Farahani, Ehsan Shahrabi Marvasti, Farokh
Abstract	The authors propose asynchronous level crossing (LC) A/D converters for low redundancy voice sampling. They propose to utilise the family of iterative methods with adaptive thresholding (IMAT) for reconstructing voice from non-uniform LC and adaptive LC (ALC) samples thereby promoting sparsity. The authors modify the basic IMAT algorithm and propose the iterative method with adaptive thresholding for level crossing (IMATLC) algorithm for improved reconstruction performance. To this end, the authors analytically derive the basic IMAT algorithm by applying the gradient descent and gradient projection optimisation techniques to the problem of square error minimisation subjected to sparsity. The simulation results indicate that the proposed IMATLC reconstruction method outperforms the conventional reconstruction method based on low-pass signal assumption by 6.56 dBs in terms of reconstruction signal-to-noise ratio (SNR) for LC sampling. In this scenario, IMATLC outperforms orthogonal matching pursuit, least absolute shrinkage and selection operator and smoothed L0 sparsity promoting algorithms by average amounts of 12.13, 10.31, and 10.28 dBs, respectively. Finally, the authors compare the performance of the proposed LC/ALC-based A/Ds with the conventional uniform sampling-based A/Ds and their random sampling-based counterparts both in terms of perceptual evaluation of speech quality and reconstruction SNR.
Starting Page	721
Ending Page	726
Page Count	6
ISSN	17519675
Volume Number	11
e-ISSN	17519683
Issue Number	Issue 6, Aug (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/11/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0569
Journal	IET Signal Processing
Publisher Date	2017-03-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	A/D And D/A Convertor Adaptive LC Adaptive Thresholding Analogue-Digital Conversion Asynchronous Level Crossing Gradient Descent Optimisation Technique Gradient Method Gradient Projection Optimisation Technique IMAT Algorithm IMATLC Reconstruction Method Interpolation And Function Approximation Iterative Method Iterative Method with Adaptive Thresholding LC A/D Converter Level Crossing Speech Sampling Low-pass Signal Assumption Numerical Analysis Optimisation Technique Redundancy Voice Sampling Signal-to-noise Ratio Reconstruction SNR Sparsity Promoting Reconstruction Speech And Audio Signal Processing Speech Processing Speech Processing Technique Square Error Minimisation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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