@inproceedings{fae0d42f37f54213862ff507e841b3f8,
title = "Comparative Analysis of Signal Transforms for Analog Image Compression",
abstract = "This paper analyzes three signal transforms in analog domain (i) Discrete Cosine Transform (DCT), (ii) Discrete Hadamard Transform (DHT), and (iii) Haar Transform for their effectiveness in analog image compression, i.e., maintaining acceptable image quality and the ease of realizing them in analog domain. The work is motivated by the need for energy-efficient analog image compression methods that can be used in internet-of-things (IoT) devices and other energy constrained devices for data collection for machine learning (ML) applications.",
keywords = "Analog Compression, Analog to Digital Converters, Discrete Cosine Transform, Haar, Hadamard, Variable quantization",
author = "Senorita Deb and Sahoo, \{Bibhu Datta\}",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 68th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2025 ; Conference date: 10-08-2025 Through 13-08-2025",
year = "2025",
doi = "10.1109/MWSCAS53549.2025.11244434",
language = "English",
series = "Midwest Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "754--758",
booktitle = "2025 IEEE 68th International Midwest Symposium on Circuits and Systems, MWSCAS 2025",
address = "United States",
}