Efficient spectrum summarization using compressed spectrum scans

We present AirPress, a spectrum scan compression method that leverages wavelet decomposition for lossy compression of spectrum data and allows up to 64:1 compression ratio of power spectral density traces without adversely impacting the spectrum summarization accuracy. We demonstrate the utility of AirPress on real-world spectrum measurements and show that it enables high-accuracy spectrum summarization of real-world transmitters while reducing the corresponding trace by 94%.