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Modulated discrete prolate spheroidal sequence dictionary compression
Barringer, Patrick Kent
Barringer, Patrick Kent
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2024
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Abstract
High-rate data sampling for Radio Frequency (RF) data has recently become much more accessible, leading to direct sampling receivers into the 5 gigasamples per second (GSPS) range becoming available. Processing this rate of data traditionally requires aggressive channelization or down-sampling in post processing to ensure data rates do not overwhelm the link from the front-end to the processor. This thesis presents a computationally efficient linear lossy compression algorithm based on a modulated discrete prolate spheroidal sequence (DPSS) dictionary that significantly reduces the data flow while retaining the signal data. To prove the effectiveness of this method we first show that a family of narrowband signals with a sinusoidal frequency modulation are well represented within the DPSS basis. We then test an example DPSS encode/decode system against simulated signals, demonstrating significant reduction in data required to transmit while maintaining the signal to noise ratio (SNR) of the reconstructed signal.
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