DWT

Geospatial and Wavelet-Based Feature Fusion for Advanced RUL Forecasting in Agricultural Machinery

This study extends previous research on Remaining Useful Life (RUL) prediction for agricultural vehicles by utilizing an enriched dataset to overcome earlier limitations in forecasting RUL for electric and hydraulic system components. Influential features have been identified through Pearson correlation and Random Forest feature importance analysis. Discrete Wavelet Transform (DWT) has been applied to extract additional approximation and detail coefficients, enhancing the feature set.

A watermarking scheme for color images that achieves optimality using the Transit Search Algorithm

This paper describes an innovative watermarking method that combines discrete wavelet transform (DWT), Hessenberg decomposition (HD), and singular value decomposition (SVD).  To do this, the main image and the watermark are divided into three channels (red, green and blue – RGB).  Then, each part of the main image individually undergoes the steps of DWT, HD and SVD, while the watermark components are processed by SVD.