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.
MoreTranslated text
Key words
Radio frequency,Wideband,Image coding,Time-domain analysis,Transform coding,Binary trees,Finite impulse response filters
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined