Digital Signal Processing

This course was developed in 1987 by the MIT Center for Advanced Engineering Studies. It was designed as a distance-education course for engineers and scientists in the workplace. Advances in integrated circuit technology have had a major impact on the technical areas to which digital signal processing techniques and hardware are being applied. A thorough understanding of digital signal processing fundamentals and techniques is essential for anyone whose work is concerned with signal processing applications. Digital Signal Processing begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasis is placed on the similarities and distinctions between discrete-time. The course proceeds to cover digital network and nonrecursive (finite impulse response) digital filters. Digital Signal Processing concludes with digital filter design and a discussion of the fast Fourier transform algorithm for computation of the discrete Fourier transform.

• Demonstration 1: Sampling, Aliasing, and Frequency Response, Part 1
• Lecture 1: Introduction
• Demonstration 2: Sampling, Aliasing, and Frequency Response, Part 2
• Lecture 2: Discrete-Time Signals and Systems, Part 1
• Lecture 3: Discrete-Time Signals and Systems, Part 2
• Lecture 4: The Discrete-Time Fourier Transform
• Lecture 5: The z-Transform
• Lecture 6: The Inverse z-Transform
• Lecture 7: z-Transform Properties
• Lecture 8: The Discrete Fourier Series
• Lecture 9: The Discrete Fourier Transform
• Lecture 10: Circular Convolution
• Lecture 11: Representation of Linear Digital Networks
• Lecture 12: Network Structures for Infinite Impulse Response (IIR) Systems
• Lecture 13: Network Structures for Finite Impulse Response (FIR) Systems and Parameter Quantization Effects in Digital Filter Structures
• Lecture 14: Design of IIR Digital Filters, Part 1
• Lecture 15: Design of IIR Digital Filters, Part 2
• Lecture 16: Digital Butterworth Filters
• Lecture 17: Design of FIR Digital Filters
• Lecture 18: Computation of the Discrete Fourier Transform, Part 1
• Lecture 19: Computation of the Discrete Fourier Transform, Part 2
• Lecture 20: Computation of the Discrete Fourier Transform, Part 3