This project implements a sensor identification system using Discrete Wavelet Transform (DWT) for feature extraction and Euclidean distance/Machine Learning for classification. It is designed to ...
This repository contains an end-to-end signal processing and machine learning pipeline that leverages Wavelet Transform–based feature extraction for effective classification of time-series data. The ...
The Discrete Wavelet Transform (DWT) has gained the reputation of being a very effective signal analysis tool for many practical applications. This paper presents an approach towards VLSI ...
The experimental ultrasound data is always trained by measurement errors, internal and external noise. For this reason, it is always necessary to apply some signal processing operations, such as ...
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 ...
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