Signal Processing: An Introduction | Fundamentals, Applications

Nathan Kutz

Comprehensive course on signal processing principles and techniques, taught by an experienced instructor. Suitable for beginners and professionals seeking to deepen their knowledge.

University CoursesDigital Signal ProcessingRoboticsSignal Processing

Introduction

This course provides an introduction to signal processing, covering fundamental concepts and techniques used in a wide range of applications, from communication systems to image and audio processing.

screenshot

Highlights

  • Comprehensive coverage of signal processing principles and methods
  • Taught by an experienced instructor, Nathan Kutz, from the University of Washington
  • Includes practical examples and hands-on exercises to reinforce understanding
  • Suitable for both beginners and those seeking to deepen their knowledge in signal processing

Recommendation

This course is highly recommended for students, engineers, and professionals interested in understanding the fundamentals of signal processing and its applications. It offers a solid foundation for further exploration in this field.

YouTube Videos

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

Artificial Intelligence for Robotics | MOOC - Udacity

0
University CoursesArtificial IntelligenceRobotics
Learn the fundamentals of AI and its applications in robotics through hands-on projects and expert-led instruction from Udacity.

Image and Multidimensional Signal Processing | Colorado School of Mines

0
University CoursesComputer VisionSignal Processing
Comprehensive course on image and multidimensional signal processing techniques, with hands-on experience and real-world problem-solving skills.

Introduction to Image Processing | Digital Image Processing | RPI

0
University CoursesComputer VisionDigital Signal ProcessingImage Processing
Comprehensive course on digital image processing, covering topics like image acquisition, filtering, edge detection, and more. Taught by renowned experts and based on the popular Gonzalez and Woods textbook.

D4M - Signal Processing on Databases | MIT OpenCourseWare

0
University CoursesDatabaseSignal Processing
Explore the archived course content for "D4M - Signal Processing on Databases" from MIT OpenCourseWare. Access retired and prior versions of the course through the DSpace archive.

Error Correcting Codes | Communication Systems | Digital Signal Processing

0
University CoursesDigital Signal ProcessingNetworking
Comprehensive course on error correcting codes for reliable communication in digital storage, satellite, and wireless networks. Taught by experienced faculty from IISc Bangalore.

Digital Communication | Fundamentals from IIT Bombay

0
University CoursesNetworkingSignal Processing
Comprehensive course on digital communication principles, taught by experienced faculty from IIT Bombay. Suitable for beginners and advanced learners.

Digital Voice & Picture Communication | IIT Kharagpur

0
University CoursesDigital Signal ProcessingNetworking
Explore the fundamental principles and techniques of digital voice and picture communication, including sampling, quantization, coding, modulation, and transmission.

Mobile Sensing and Robotics | Bonn University Course

0
University CoursesRobotics
Comprehensive course on mobile sensing and robotics, covering sensor technologies, localization, mapping, and navigation. Hands-on demonstrations and practical exercises.

Introduction to Feedback Control Systems | CMU 16-299 | Spring 2022

0
University CoursesControl TheoryRobotics
Explore the fundamentals of feedback control systems with intuitive concepts and hands-on lab components in this course by Chris Atkeson at Carnegie Mellon University.