An Extensive Analysis of Amphibious Drones for Surveillance DOI

J. Surendiran,

S. Subburam,

Fathima. S. K

et al.

Published: Oct. 8, 2024

Language: Английский

Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor DOI Creative Commons

Ananias Pereira Neto,

Fabrício J. B. Barros

Frontiers in Neuroscience, Journal Year: 2025, Volume and Issue: 18

Published: Jan. 10, 2025

Wavelet thresholding techniques are crucial in mitigating noise data communication and storage systems. In image processing, particularly medical imaging like MRI, reduction is vital for improving visual quality accurate analysis. While existing methods offer reduction, they often suffer from limitations edge texture loss, poor smoothness, the need manual parameter tuning. This study introduces a novel adaptive wavelet technique brain MRI. The proposed method utilizes linear prediction factor to adjust threshold adaptively. leverages temporal information features both original noisy images determine weighted threshold. dynamic approach aims selectively reduce or eliminate coefficients while preserving essential features. was rigorously evaluated against state-of-the-art techniques. Experimental results demonstrate significant improvements key performance metrics, including mean squared error (MSE), peak signal-to-noise ratio (PSNR), structural similarity index (SSIM). effectively addresses of by providing more efficient approach. By dynamically adjusting based on image-specific characteristics, this preserves details suppressing noise. These findings highlight potential enhancing interpretability MRI images.

Language: Английский

Citations

0
Enhanced perceptual wavelet packet features for spontaneous Kannada sentence recognition under uncontrolled conditions DOI
Mahadevaswamy Shanthamallappa, B. P. Pradeep Kumar

International Journal of Speech Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 25, 2025

Language: Английский

Citations

0
Enhancing Automatic Speech Recognition for Punjabi Dialects: An Experimental Analysis of Incorporating Prosodic Features and Acoustic Variability Mitigation DOI
Vivek Bhardwaj, Tanya Gera, Deepak Thakur

et al.

SN Computer Science, Journal Year: 2024, Volume and Issue: 5(6)

Published: Aug. 1, 2024

Language: Английский

Citations

1
Robust Speech Enhancement Using Dabauchies Wavelet Based Adaptive Wavelet Thresholding for the Development of Robust Automatic Speech Recognition: A Comprehensive Review DOI
Mahadevaswamy Shanthamallappa

Wireless Personal Communications, Journal Year: 2024, Volume and Issue: 137(4), P. 2085 - 2119

Published: Aug. 1, 2024

Language: Английский

Citations

1
A Systemic Review on Automatic Acoustic Scene Classification DOI

J. Surendiran,

P.B Edwin Prabhakar,

Mohamad Ibrahim

et al.

Published: Oct. 8, 2024

Language: Английский

Citations

1
Stationary wavelet Filtering Cepstral coefficients (SWFCC) for robust speaker identification DOI

Ibrahim Missaoui,

Zied Lachiri

Applied Acoustics, Journal Year: 2024, Volume and Issue: 231, P. 110435 - 110435

Published: Dec. 12, 2024

Language: Английский

Citations

0
An Extensive Analysis of Amphibious Drones for Surveillance DOI

J. Surendiran,

S. Subburam,

Fathima. S. K

et al.

Published: Oct. 8, 2024

Language: Английский

Citations

0