Key Finding: NSCT achieves +16.8% SSIM and +2.93 dB PSNR improvement over DWT, winning quality on all 11 test images. wavelets-and-contuorlets/ ├── README.md # This file ├── COMPLETION_REPORT.txt # ...
Abstract: Fault diagnosis (FD) of industrial robots (IRs) plays an increasingly indispensable role in modern manufacturing. Fault-related component obscurity by strong noise, feature exploitation ...
Magnetic resonance imaging (MRI) is a popular imaging modality in preclinical research because it delivers multiparametric information on tissues and organs in a noninvasive manner. The small ...
Abstract: This study evaluates wavelet-based denoising techniques for partial discharge signals, specifically Damped Exponential Pulse (DEP) and Damped Oscillatory Pulse (DOP) types. We analyzed 63 ...
ABSTRACT: The research focuses on improving predictive accuracy in the financial sector through the exploration of machine learning algorithms for stock price prediction. The research follows an ...
Wavelet has added a new feature called equal loudness that makes all frequencies equally loud. This is helpful because, when you lower the volume of your music, low and high frequencies start to dip ...
Traditional denoising methods often lose details or edges, such as Gaussian filtering. Shearlet transform is a multi-scale geometric analysis tool which has the advantages of multi-resolution and ...
Image denoising has remained a fundamental problem in the field of image processing. With Wavelet transforms, various algorithms for denoising in wavelet domain were introduced. Wavelets gave a ...
Event related potentials (ERPs) are the electroencephalographic (EEG) responses to sensory, cognitive or motor events. Besides their clinical applications, ERPs are widely used in cognitive psychology ...
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