Open Lectures - (Digital) Signal Processing

Whenever we talk on the phone or whenever we watch videos online or whenever we read e-books on tablets, the technology behind what we are doing is (digital) signal processing - the process of measuring, manipulating or analyzing information. Signal processing is widely used in the areas involving signals such as sound, electromagnetic radiation, images, and sensor data.

We are living in digital times, so we may think learning digital signal processing seems like a piece of cake. However, learning digital signal processing is a bit challenging - even for electrical engineering students. This provides a collection of open lectures about signal processing and its mathematical tools like the Fourier transform.

Signals and Systems (MIT, Professor Dennis Freeman)
This course covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals.

Signals and Systems (MIT, Professor Alan Oppenheim)
This course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems.

Signals and Systems (IIT Kanpur)
This course is a study of signals and systems, covering topics: formal definition of 'signal' and 'system', continuous and discrete signals, continuous and discrete-time systems, ...

Principles of Signals and Systems (IIT Kanpur)
This course is introduces the fundamental principles of signals and system analysis. These concepts form the building blocks of modern digital signal processing, communication and control systems.

Discrete Time Signal Processing (IIT Kharagpur)
The major concepts covered include: discrete-time processing of continuous-time signals; sampling rate conversion; discrete time filter design and filter structures, ...

Digital Signal Processing (MIT, Professor Alan Oppenheim)
This course discusses the analysis and representation of discrete-time signal systems, digital filters, and computation of the discrete Fourier transform.

Digital Signal Processing (UC Berkeley)
Instructor: Professor Shimon Michael Lustig. This course introduces skills for analyzing and synthesizing algorithms and systems that process discrete time signals, with emphasis on realization and implementation.

Digital Signal Processing (Rensselaer Polytechnic Institute)
Instructor: Professor Richard Radke. This course provides a comprehensive treatment of the theory, design, and implementation of digital signal processing algorithms.

Digital Signal Processing (UNSW)
Taught by Professor E. Ambikairajah, this course provides an introduction to digital signal processing.

Digital Signal Processing (IIT Delhi)
By Professor S.C. Dutta Roy. Topics cover review of signals and systems, discrete Fourier tran, Z transform, digital filters, IIR design, and FIR design.

Digital Signal Processing (IIT Kharagpur)
Instructor: Prof. T.K. Basu. Discrete Time Signal and System, Frequency Domain Representation of Discrete Signals, z-Transform, Solution of Difference Equation, Tutorial on Discrete Time Signals and their Transforms, ...

Mathematical Methods and Techniques in Signal Processing
This course provides an introduction to the foundations of signal processing, focusing on the mathematical aspects for signal processing.

The Fourier Transform and its Applications
By Professor Brad Osgood. In this course the emphasis is on relating the theoretical principles to solving practical engineering and science problems.

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