Designing optimal prototype filters for maximally decimated Cosine Modulated filter banks with rapid convergence.
| Autor: | Keerthana B; School of Electrical and Electronics Engineering, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, India., Raju N; School of Electrical and Electronics Engineering, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, India., Cv R; School of Electronics Engineering, Vellore Institute of Technology, Vellore, 632014, India., Anbazhagan R; School of Electrical and Electronics Engineering, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, India., Kim TH; School of Electrical and Computer Engineering, Yeosu Campus, Chonnam National University, 50 Daehak-ro, Yeosu-si, Jeollanam-do, 59626, Republic of Korea., Mohammad F; Department of Chemistry, College of Science, King Saud University, P.O.Box 2455, Riyadh, 11451, Saudi Arabia. |
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| Jazyk: | angličtina |
| Zdroj: | Heliyon [Heliyon] 2024 May 24; Vol. 10 (11), pp. e31912. Date of Electronic Publication: 2024 May 24 (Print Publication: 2024). |
| DOI: | 10.1016/j.heliyon.2024.e31912 |
| Abstrakt: | An analytic design of a prototype filter for M-channel maximally decimated cosine-modulated Near Perfect Reconstruction (NPR) filter banks is proposed in this work. The prototype filter is created using the least-square (CLS) method with weighted constraints, which is one-dimensional and requires single-parameter optimization. Compared to existing approaches, this suggested method achieves rapid convergence by analytically determining the optimal step size, ensuring the 3 dB cutoff frequency at π/2 M. The simulation results for design examples outperform the techniques in the available literature in terms of amplitude and aliasing distortion, reaching distortion around 2.4489 × 10 -4 and 3.4907 × 10 -9 , respectively. This optimization algorithm's usefulness is further demonstrated with the sub-band coding of ECG signals . Implementing optimal prototype filters has tangible real-world effects, especially in critical sectors like healthcare and communications, improving diagnostics accuracy, data transmission efficiency, and overall performance . Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2024 The Authors. Published by Elsevier Ltd.) |
| Databáze: | MEDLINE |
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