At σ=0.05, WaveletAdam solves XOR 10/10 vs Adam's 7/10 with 6× lower final loss. Standard Adam smooths gradients with exponential moving averages at a single fixed timescale (β₁=0.9). This averages ...

Abstract: We performed a comparison between two source signal extraction algorithms, namely the Wavelet Denoising (WD) by Soft Thresholding and Independent Component Analysis (ICA) on a simulated ...

Noise suppression is a key component in microseismic monitoring technology. Accurate denoising of microseismic signals is crucial for ensuring reliable data for locating mining-related seismic events ...

This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the accuracy ...

Now t at we can run wav_data in both IDL and Python with matching results, we should try an example using the IDL Wavelet toolkit routines versus the Python wavelets library and see how comparable ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

This data loss can obscure critical details, affect measurements, or even compromise downstream AI model performance. Therefore, it’s important to remove noise from the image to preserve its details ...

Whistler mode waves are one of the dominant plasma emissions occurring in the Earth’s magnetosphere. Using data from the Magnetospheric Multiscale (MMS) mission taken in the outer magnetosphere, we ...