A digital filter bank structure is proposed to reconstruct uniformly sampled bandlimited signals from their N-th order nonuniform samples, based on an existing filter bank structure in the literature. The proposed structure utilizes polyphase domain filtering operations and discrete Fourier transform (DFT) modulation matrices to improve the computational efficiency of the existing filter bank structure. The proposed structure finds applications in time-interleaved analog-to-digital converters (TIADCs), digital flight control, etc.

K. M.Muraleedhara Prabhu

BAND-LIMITED SIGNAL

DIGITAL FLIGHT CONTROL

DOMAIN FILTERING

FILTER BANK STRUCTURES

NONUNIFORM SAMPLES

TIME-INTERLEAVED ANALOG-TO-DIGITAL CONVERTERS

Analog to digital conversion

Discrete Fourier transforms

Sensors

Time varying networks

Filter banks

IIT Madras is a public technical and research university located in Chennai, Tamil Nadu. Founded in 1959, it is recognised as an Institute of National Importance.

IIT Madras has been ranked as the top engineering institute in India for four years in a row by the National Institutional Ranking Framework of the MHRD

It currently offers undergraduate, postgraduate and research degrees across 16 disciplines in Engineering, Sciences, Humanities and Management. About 596 faculty belonging to science and engineering departments and centres of the Institute are engaged in teaching, research and industrial consultancy.

IIT Madras

IET Seminar Digest

In this paper, a digital filter bank structure is proposed for the reconstruction of uniformly sampled bandlimited signals from their N-th order nonuniform samples. The proposed filter bank structure is arrived at after incorporating polyphase-domain filtering operations and discrete Fourier transform (DFT) modulation to an existing filter bank framework. In this paper, an idea is also presented, so that uniform samples can be reconstructed from N-th order nonuniform samples using the structures based on recurrent nonuniform sampling. A comparison of the computational complexity and the signal-to-noise ratio (SNR) performance is also given for various structures existing in the literature. © 2013 Elsevier Inc. © 2013 Elsevier Inc. All rights reserved.

Digital Signal Processing: A Review Journal

Reconstruction of N-th order nonuniformly sampled bandlimited signals using digital filter banks

In this paper, we propose a new discrete-time model which relates uniform samples and K-th order nonuniform (KONU) samples. Typically, such situations may occur in practice where the sampling rates of analog-to-digital converters (ADCs) in a cluster of sensors may be different. This paper also outlines a digital signal processing approach to reconstructing uniform samples from the nonuniform samples produced by time interleaving analog-to-digital converters (TI-ADCs) with different sampling rates and time-mismatches. © 2011 Elsevier B.V. All rights reserved.

Signal Processing

Perfect reconstruction of uniform samples from K-th order nonuniform samples

Journal of Surgery

http://www.avensonline.org/fulltextarticles/JSUR-2332-4139-S1-0001.html

APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems

A realization of digital filter banks for reconstruction of uniformly sampled signals from nonuniform samples

IEEE Transactions on Signal Processing

On the Relationship Between Uniform and Recurrent Nonuniform Discrete-Time Sampling Schemes

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

Calibration of Sample-Time Error in a Two-Channel Time-Interleaved Analog-to-Digital Converter

Reconstruction of N-th order nonuniformly sampled signals using digital filter banks