Signal Processing
Signal processing is a field of engineering and applied mathematics that involves analyzing, modifying, and synthesizing signals such as sound, images, and sensor data. It uses mathematical techniques to extract information, remove noise, compress data, or transform signals between different domains (e.g., time to frequency). This technology is fundamental in areas like audio engineering, telecommunications, medical imaging, and control systems.
Developers should learn signal processing when working on applications involving audio, video, image analysis, sensor data, or communication systems, as it enables tasks like noise reduction, feature extraction, and data compression. It is essential for fields like machine learning (e.g., preprocessing audio for speech recognition), IoT (processing sensor signals), and multimedia (e.g., image filtering in computer vision).