Aarhus University Seal

Dansk

You are here: » Lightweight Time-Series Signal Compression Period Extract...

About Aarhus University

Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Standard

Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences. / Kuldeep, Gajraj.
In: IEEE Internet of Things Journal, Vol. 9, No. 9, 05.2022, p. 7043-7050.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Harvard

Kuldeep, G 2022, 'Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences', IEEE Internet of Things Journal, vol. 9, no. 9, pp. 7043-7050. https://doi.org/10.1109/JIOT.2021.3113951

APA

Kuldeep, G. (2022). Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences. IEEE Internet of Things Journal, 9(9), 7043-7050. Advance online publication. https://doi.org/10.1109/JIOT.2021.3113951

CBE

Kuldeep G. 2022. Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences. IEEE Internet of Things Journal. 9(9):7043-7050. https://doi.org/10.1109/JIOT.2021.3113951

MLA

Kuldeep, Gajraj. "Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences". IEEE Internet of Things Journal. 2022, 9(9). 7043-7050. https://doi.org/10.1109/JIOT.2021.3113951

Vancouver

Kuldeep G. Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences. IEEE Internet of Things Journal. 2022 May;9(9):7043-7050. Epub 2022. doi: 10.1109/JIOT.2021.3113951

Author

Kuldeep, Gajraj. / Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences. In: IEEE Internet of Things Journal. 2022 ; Vol. 9, No. 9. pp. 7043-7050.

Bibtex

@article{e46e3e15b17745cdaa725fdbd74c65ba,
title = "Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences",
abstract = "In the Internet of Things (IoT), connected devices generate a massive amount of data that need to be processed and transmitted to the data aggregator or edge device. The connected devices are resource-constrained in terms of memory, computation power, and energy. In this paper, we propose a novel transform using difference sequences. The proposed transform is multiplierless, which makes it very promising for resource-constrained IoT devices. Various properties of the difference sequences, such as orthogonality, linear independence, and circular shift, are studied in detail. These sequences are sparse and take values from the set {0,1,-1}, which make these sequences very efficient in computation. Applications of the proposed transform are shown for lossless compression, period extraction, and multiresolution using electrocardiogram, accelerometer, images, and photoplethysmography datasets. Furthermore, the proposed transform is compared with the state-of-the-art data compression transforms.",
keywords = "Discrete derivatives, Internet of Things (IoT), Lossless compression, Multiresolution, Period estimation, Ramanujan sums, Resource-constrained",
author = "Gajraj Kuldeep",
year = "2022",
month = may,
doi = "10.1109/JIOT.2021.3113951",
language = "English",
volume = "9",
pages = "7043--7050",
journal = "IEEE Internet of Things Journal",
issn = "2327-4662",
publisher = "Institute of Electrical and Electronics Engineers",
number = "9",

}

RIS

TY - JOUR

T1 - Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences

AU - Kuldeep, Gajraj

PY - 2022/5

Y1 - 2022/5

N2 - In the Internet of Things (IoT), connected devices generate a massive amount of data that need to be processed and transmitted to the data aggregator or edge device. The connected devices are resource-constrained in terms of memory, computation power, and energy. In this paper, we propose a novel transform using difference sequences. The proposed transform is multiplierless, which makes it very promising for resource-constrained IoT devices. Various properties of the difference sequences, such as orthogonality, linear independence, and circular shift, are studied in detail. These sequences are sparse and take values from the set {0,1,-1}, which make these sequences very efficient in computation. Applications of the proposed transform are shown for lossless compression, period extraction, and multiresolution using electrocardiogram, accelerometer, images, and photoplethysmography datasets. Furthermore, the proposed transform is compared with the state-of-the-art data compression transforms.

AB - In the Internet of Things (IoT), connected devices generate a massive amount of data that need to be processed and transmitted to the data aggregator or edge device. The connected devices are resource-constrained in terms of memory, computation power, and energy. In this paper, we propose a novel transform using difference sequences. The proposed transform is multiplierless, which makes it very promising for resource-constrained IoT devices. Various properties of the difference sequences, such as orthogonality, linear independence, and circular shift, are studied in detail. These sequences are sparse and take values from the set {0,1,-1}, which make these sequences very efficient in computation. Applications of the proposed transform are shown for lossless compression, period extraction, and multiresolution using electrocardiogram, accelerometer, images, and photoplethysmography datasets. Furthermore, the proposed transform is compared with the state-of-the-art data compression transforms.

KW - Discrete derivatives

KW - Internet of Things (IoT)

KW - Lossless compression

KW - Multiresolution

KW - Period estimation

KW - Ramanujan sums

KW - Resource-constrained

UR - http://www.scopus.com/inward/record.url?scp=85115687770&partnerID=8YFLogxK

U2 - 10.1109/JIOT.2021.3113951

DO - 10.1109/JIOT.2021.3113951

M3 - Journal article

VL - 9

SP - 7043

EP - 7050

JO - IEEE Internet of Things Journal

JF - IEEE Internet of Things Journal

SN - 2327-4662

IS - 9

ER -