About This Course:

The Digital Signal Processing course is designed for students who want to understand the fundamental concepts of analyzing and processing signals in digital systems. The course begins with core topics such as sampling theory, modeling of discrete-time systems, convolution, difference equations, the z-transform, and Fourier transforms. Building on this foundation, advanced techniques including finite impulse response (FIR) and infinite impulse response (IIR) digital filters, as well as the Fast Fourier Transform (FFT) algorithm are examined in depth.

In later modules, practical domains such as digital filter design, spectral analysis, and digital signal processing hardware are explored, enabling participants to develop engineering-based, system-level problem-solving skills.

This course provides a strong foundation for engineers and researchers working in areas such as digital communications, audio/video processing, biomedical signal analysis, and embedded systems.

Prerequisites:

A basic understanding of linear algebra, differential equations, and complex numbers is recommended. Introductory knowledge of digital systems may also be helpful.

Instructor:

Prof. Alan V. Oppenheim is one of the pioneers of the digital signal processing field. He served for many years as a faculty member in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT).

Widely recognized for his foundational contributions and influential textbooks in signal processing, Oppenheim has received numerous awards for his impact on engineering education. His work on the fundamentals of digital systems continues to play a critical role in the development of modern communication and control systems