Brief Introduction
Enter the world of signal processing: analyze and extract meaning from the signals around us!
Description
Coming Soon February 2021. 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).
Learners should have 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). This course is an excerpt from an advanced undergraduate class at Rice University taught to all electrical and computer engineering majors.
Knowledge
- Types of Fundamental Signals
- Vector Description of Signals
- Introduction to Discrete Time Systems
- Convolution
- The Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT)
- The Discrete-Time Fourier Transform (DTFT)
- The Z-Transform
- Introduction to Analysis and Design of Discrete-Time Filters
Digital Signal Processing (DSP) From Ground Up™ in C
- 4
-
![]()
![]()
![]()
![]()
![]()
Practical DSP in C : FFT, Filter Design, Convolution, IIR, FIR, Hamming Window, Linear Systems, Chebyshev filters etc This version of the course uses the C programming language....
Signals and Systems, Part 1
- 0.0
-
![]()
![]()
![]()
![]()
![]()
This course provides the basic toolkit for any signal processing application - the abstraction of signals and systems, from the point of view of analysis and characterization....
Fundamentals of Engineering Exam Review
- 4.7
-
![]()
![]()
![]()
![]()
![]()
The purpose of this course is to review the material covered in the Fundamentals of Engineering (FE) exam to enable the student to pass it....
RF and millimeter-Wave Circuit Design
- 4.9
-
![]()
![]()
![]()
![]()
![]()
The course covers the topics on how to derive the RF wireless systems specifications, and how to design the main building blocks of a transceiver, i....
