Lossless Wideband RF Compression via Lifting-Based IIR Subband Decomposition
IEEE Transactions on Aerospace and Electronic Systems（2020）
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.
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Key words
Radio frequency,Wideband,Image coding,Time-domain analysis,Transform coding,Binary trees,Finite impulse response filters
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