Lossless Wideband RF Compression via Lifting-Based IIR Subband Decomposition

Charles Cooper; Michael Marcellin

doi:10.1109/TAES.2019.2919436

Lossless Wideband RF Compression via Lifting-Based IIR Subband Decomposition

Charles Cooper
, Michael Marcellin

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

This correspondence presents a scheme for the lossless compression of wideband spectrally and/or temporally sparse radio-frequency intercepts. It decomposes intercepts into time/frequency partitions using an adaptive invertible channelizer based on infinite impulse response orthogonal wavelet filter banks. The resulting subband decomposition is compressed via arithmetic coding.

Original language	English (US)
Article number	8728286
Pages (from-to)	823-829
Number of pages	7
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	56
Issue number	1
DOIs	https://doi.org/10.1109/TAES.2019.2919436
State	Published - Feb 1 2020

Keywords

Arithmetic coding
channelizer
infinite impulse response (IIR) filter
lossless compression
orthogonal wavelet
sparse
subband decomposition
wideband

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering

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10.1109/TAES.2019.2919436

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title = "Lossless Wideband RF Compression via Lifting-Based IIR Subband Decomposition",

abstract = "This correspondence presents a scheme for the lossless compression of wideband spectrally and/or temporally sparse radio-frequency intercepts. It decomposes intercepts into time/frequency partitions using an adaptive invertible channelizer based on infinite impulse response orthogonal wavelet filter banks. The resulting subband decomposition is compressed via arithmetic coding.",

keywords = "Arithmetic coding, channelizer, infinite impulse response (IIR) filter, lossless compression, orthogonal wavelet, sparse, subband decomposition, wideband",

author = "Charles Cooper and Michael Marcellin",

note = "Funding Information: This work was supported by the Rincon Research Corporation. Publisher Copyright: {\textcopyright} 1965-2011 IEEE.",

year = "2020",

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AB - This correspondence presents a scheme for the lossless compression of wideband spectrally and/or temporally sparse radio-frequency intercepts. It decomposes intercepts into time/frequency partitions using an adaptive invertible channelizer based on infinite impulse response orthogonal wavelet filter banks. The resulting subband decomposition is compressed via arithmetic coding.

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KW - lossless compression

KW - orthogonal wavelet

KW - sparse

KW - subband decomposition

KW - wideband

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Lossless Wideband RF Compression via Lifting-Based IIR Subband Decomposition

Abstract

Keywords

ASJC Scopus subject areas

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