Signal processing plays a crucial role in Laser Additive Manufacturing (LAM) by ensuring quality, consistency, and reliability throughout the layer-by-layer fabrication process. LAM generates dynamic physical phenomena—such as melt pool fluctuations and thermal gradients—that directly affect structural integrity. Real-time monitoring of these phenomena relies on sensors collecting acoustic, thermal, optical, and vibrational data. By converting noisy, high-dimensional sensor outputs into actionable insights, signal processing helps reduce material waste, decrease the need for post-production inspection, and improve process repeatability. This is especially important in high-risk sectors including aerospace and medical implant manufacturing.