Understanding Fourier Analysis: Uncovering Patterns in Time Series Data

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.
IEEE

Spatial–Frequency Fusion Network With Learnable Fractional Fourier Transform for Remote Sensing Imaging Enhancement

Abstract: Atmospheric haze significantly degrades the quality of remote sensing images, reducing visibility, distorting spectral information, and impairing downstream tasks such as land cover ...
Bloomberg L.P.

From Data to Decisions: Powering Equity Research with Bquant Desktop

Yes, I would like to be contacted by a representative to learn more about Bloomberg's solutions and services. Join us for an in-depth session exploring the most powerful ways to enhance your equity ...
IEEE

Micro-Doppler Feature Extraction of Vibrating and Rotating Targets Based on 2-D Fourier Transform

Abstract: The time-frequency signatures of rotating and vibrating targets due to micro-Doppler effect often deteriorated caused by occlusion, multi-trajectory overlap, and low signal-to-noise ratios.
GitHub

LET-NET2：An end-to-end lightweight CNN designed for sparse corner extraction and tracking.

LET-NET2 transforms the traditional LK optical flow process into a neural network layer by computing its derivatives, enabling end-to-end training of sparse optical flow. It preserves the original ...