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University / College

Learning Objectives

At the end of this simulation, you will be able to:

Explain the principles of digital and analog signal processing, including signal representation and transformation.
Create virtual low-pass, high-pass, band-pass, and notch filters for effective signal conditioning.
Use Fourier transforms to analyze and interpret signal frequency components and characteristics.
Implement signal modulation techniques for communication and data transmission applications.
Apply noise reduction methods to improve signal clarity and accuracy in practical applications.

How do virtual labs work?

Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.

Access web-based simulations that are compatible with laptops, Chromebooks, tablets, and iPads, eliminating the need for software installation.
Incorporate a teacher dashboard for automated grading and monitoring of student progress.
Utilize embedded quizzes to assist students in mastering scientific content.
Comprehensive repository of educational materials, including learning resources, lab reports, videos, theory pages, graphics, and more.

Signal Processing and Filtering Techniques

Relevant Course Packages All Course Packages →

Energy Systems and Renewable Technologies

Explore the principles of conventional and renewable energy systems, focusing on energy conversion, sustainability, and environmental impact.

Metal Cutting and Preparation Simulation

The Metal Cutting and Preparation Simulation immerses users in various metal cutting techniques such as oxy-fuel, plasma cutting, and grinding, all essential for preparing metals for welding. The simulation includes interactive scenarios for cutting different metals and thicknesses, along with grinding and smoothing edges. Feedback is provided on cut precision, surface quality, and preparation to ensure optimal conditions for welding.

Semiconductor Device Design Simulation

Engage in semiconductor device design through interactive XR simulations. Design basic components like diodes, transistors, and integrated circuits using 2D/3D models, explore doping profiles, and evaluate performance characteristics with real-time feedback.

Troubleshooting HVAC Systems

The Troubleshooting HVAC Systems Simulation teaches users how to troubleshoot common HVAC problems such as system malfunctions, low refrigerant, faulty components, and poor airflow. The simulation includes virtual diagnostic tools like multimeters, pressure gauges, and thermometers to test system components. Interactive fault scenarios guide students in diagnosing and repairing issues such as refrigerant leaks, compressor failures, and blocked filters. Real-time feedback is provided on problem diagnosis, repair accuracy, and system recovery.

Weld Joint Preparation and Fit-Up

The Weld Joint Preparation and Fit-Up simulation provides hands-on virtual training in preparing materials and achieving proper joint alignment before welding. Through XR-enabled immersive scenarios, participants practice critical pre-welding tasks and receive real-time feedback to ensure precision and quality.

Machining Tolerances and Fits

Explore XR-based simulations for machining parts to meet specified tolerances and selecting appropriate fits for mating components. Students will interact with virtual machining scenarios, adjusting parameters to achieve precise tolerances, whether it's clearance, interference, or transition fits. This experience provides a deeper understanding of machining precision, helping to avoid the production of undersized or oversized parts. Real-time feedback ensures that users can evaluate part quality, tolerance control, and fit accuracy for optimal machining results.

LMS Integration

imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.