Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about windowing in signal processing through a 10-minute educational video that demonstrates its fundamental concepts using audio compression examples. Explore how windowing functions are applied to signals, their importance in digital signal processing, and their practical applications. Delve into related concepts like convolution, Fourier transforms, sampling, and discrete frequency spectra through comprehensive explanations and real-world examples. Part of a broader series covering signal processing fundamentals, this video connects to additional resources on Fourier analysis, discrete transforms, and signal sampling techniques.