Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Electa Alice Jayarani, A.; Joy, Helen K.; Thenmozhi, S. Title A name given to the resource Compressive Sensing Based Compression Algorithm for the Audio Signal Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Journal of Information Hiding and Multimedia Signal Processing;Volume;16;Issue;1;pp.453-465 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105000076339?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000076339?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Electa Alice Jayarani A., Department of Electronics and Communication, K.S. Institute of Technology, Bengaluru, India; Joy H.K., Department of Computer Science, Christ University, Bengaluru, India; Thenmozhi S., Department of Electronics and Communication, Dayananda Sagar College of Engineering, Bengaluru, India Description An account of the resource Nyquist sampling is used in the conventional digital converter to convert the analog audio signal to digital audio data. Traditional approaches, such as Nyquist sampling, require high sampling rates, leading to large datasets. After sampling, the digital audio data is often compressed using algorithms like Moving Picture Experts Group Layer-3 Audio Coding (MP3), Advanced Audio Coding (AAC), or other codecs to re-duce the file size for storage or transmission. Recently, Compressive Sensing (CS) has been used instead of Nyquist Sampling. Instead of sampling at the Nyquist rate, Com-pressive Sensing samples the signal at a much lower rate. The recovery of the original signal from these fewer samples is possible through minimization techniques. Hence, in the proposed algorithm, we use Compressive Sensing for audio compression. The basis matrix for Compressive Sensing is generated by exploring different transform matrices. The proposed algorithm leverages the principles of Compressive Sensing to enhance audio compression by reducing the number of samples needed and using efficient recovery techniques, resulting in a high compression rate suitable for modern audio applications. 2025. Subject The topic of the resource Audio Compression; Audio signal; Compressive sensing; l1 minimization Publisher An entity responsible for making the resource available Taiwan Ubiquitous Information CO LTD Relation A related resource ISSN: 20734212; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online