Discrete Time Signals and Systems, Part 1: Time Domain
Rice University via edX
Overview
Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank: each of these tasks requires real-world data to be captured by a computer and then manipulated digitally to extract the salient information. Ever wonder how signals from the physical world are sampled, stored, and processed without losing the information required to make predictions and extract meaning from the data?
Students will find out in this rigorous mathematical introduction to the engineering field of signal processing: the study of signals and systems that extract information from the world around us. This course will teach students to analyze discrete-time signals and systems in both the time and frequency domains. Students will learn convolution, discrete Fourier transforms, the z-transform, and digital filtering. Students will apply these concepts in interactive MATLAB programming exercises (all done in browser, no download required).
Part 1 of this course analyzes signals and systems in the time domain. Part 2 covers frequency domain analysis.
Prerequisites include strong problem solving skills, the ability to understand mathematical representations of physical systems, and advanced mathematical background (one-dimensional integration, matrices, vectors, basic linear algebra, imaginary numbers, and sum and series notation). Part 1 is a prerequisite for Part 2. This course is an excerpt from an advanced undergraduate class at Rice University taught to all electrical and computer engineering majors.
Taught by
Richard G. Baraniuk
Tags
Related Courses
Reviews
4.8 rating, based on 5 reviews
-
Gregory J Hamel ( Life Is Study) completed this course and found the course difficulty to be medium.
Discrete Time Signals and Systems, Part 1: Time Domain is a 4-week introduction to discrete time signals offered by Rice University through the edX platform. This course was originally 8 weeks, but edX split it up into two parts, one covering the time... -
Aditya Govardhan completed this course, spending 6 hours a week on it and found the course difficulty to be medium.
Just perfect. Complemented with MATLAB examples. Concepts are well arranged and minutely defined. Entertaining and quality lectures. Great source of inspiration for signal processing projects. -
Someone completed this course.
Good course but you have to listen to both parts since they belong together. It is quite easy to understand. As a phsics student I got a new perspective to some mathematical concepts. -
Marta37
Marta is taking this course right now, spending 8 hours a week on it and found the course difficulty to be medium.
-
Marat Minshin18
Marat Minshin completed this course, spending 6 hours a week on it and found the course difficulty to be easy.
Never Stop Learning!
