AI GLOSSARY

Complex Signal Processing

Complex signal processing refers to the analysis and manipulation of data or information that varies over time or space and can be represented mathematically. These signals can come from various sources, such as sound, light, radio waves, electrical currents, or other physical phenomena. Complex signal processing is used in various fields, such as communications, radar, and AI, to handle signals more effectively, particularly when dealing with phase and amplitude information. Complex signal processing techniques enable more efficient data handling and improved accuracy in tasks like filtering, modulation, and pattern recognition.