Abstract: A novel wavelet-based scheme to increase coefficient independence in hyperspectral images is introduced for lossless coding. The proposed regression wavelet analysis (RWA) uses multivariate ...

This is the official python implementation for the Streaming Wavelet Operator in the paper Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift ...

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 ...

Abstract: This paper presents an end-to-end trainable wavelet video coder based on motion-compensated temporal filtering. Thereby, it introduces a different coding scheme for learned video compression ...

uSDR is an embedded software-defined radio (SDR) M.2 board based on an AMD Embedded Artix-7 FPGA and designed to be controlled in the Chrome, Opera, or Edge browser without specific drivers or ...

Data Science expert with desire to help companies advance by applying AI for process improvements. Time series data is a key component in a wide range of domains, including finance and meteorology.

Rolling bearings are the most prone to failures in mechanical equipment, and the vibration signal is unstable. Therefore, according to this characteristic of the bearing, the time-frequency ...

This study investigates whether the El Niño Southern Oscillation (ENSO) affects primary commodity prices over time. We employ a wavelet approach that allows us to disentangle the time and frequency ...

Built on deep networks, end-to-end optimized image compression has made impressive progress in the past few years. Previous studies usually adopt a compressive auto-encoder, where the encoder part ...