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FMCW radar data compression

Our project focuses on compressing FMCW radar data by exploiting the stationary nature of the analyzed signal. Indeed, the output of such systems is a linear combination of multiple sinusoidal signals and therefore it is by its nature a strongly periodic signal. For this reason, we first apply Linear Predictive Coding to reduce the dynamic of the signal and then, we use Huffman coding to further shrink the output file and improve the overall compression ratio. This folder contains the slideshow .pdf and the corresponding .tex source. Inside the code folder are stored all the files used to generate the presented results.

References

[1] N. Levinson. “The Wiener (Root Mean Square) Error Criterion in Filter Design and Prediction”. In: Journal of Mathematics and Physics 25.1-4 (1946), pp. 261–278. DOI: https://doi.org/10.1002/sapm1946251261.

[2] David A. Huffman. “A Method for the Construction of Minimum-Redundancy Codes”. In: Proceedings of the IRE 40.9 (1952), pp. 1098–1101. DOI: https://doi.org/10.1109/JRPROC.1952.273898.

[3] J. Makhoul. “Linear prediction: A tutorial review”. In: Proceedings of the IEEE 63.4 (1975), pp. 561–580. DOI: https://doi.org/10.1109/PROC.1975.9792.

[4] S.M. Kay and S.L. Marple. “Spectrum analysis—A modern perspective”. In: Proceedings of the IEEE 69.11 (1981), pp. 1380–1419. DOI: https://doi.org/10.1109/PROC.1981.12184.

[5] D. O’Shaughnessy. “Linear predictive coding”. In: IEEE Potentials 7.1 (1988), pp. 29–32. DOI: https://doi.org/10.1109/45.1890.

Authors

Francesco Mancuso (mandugo)
Giulio Meucci (Rustafun)

Note: Original Repo

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