Learn · Digital Signal Processing
Lecture 8 of 22Video Lectures47 min
Lecture 6: The Inverse z-Transform
Prof. Alan V. Oppenheim · Massachusetts Institute of Technology
Credits and licence
- From
- Digital Signal Processing, Massachusetts Institute of Technology (at MIT OpenCourseWare)
- Licence
- CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only.
- Attribution
- Prof. Alan V. Oppenheim. Digital Signal Processing. Spring 2011. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
- Who can watch
- Tweens profiles and older. How courses are placed
All the lectures
- Demonstration 1: Sampling, Aliasing, and Frequency Response, Part 1
- Demonstration 2: Sampling, Aliasing, and Frequency Response, Part 2
- Lecture 1: Introduction
- 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