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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 →

Neural Engineering and Brain-Computer Interfaces (BCIs)

Immerse students in the design and testing of neural interfaces that connect the brain to external devices, such as prosthetic limbs and communication aids. Through advanced XR simulations, students will develop and refine brain-computer interfaces (BCIs), analyze EEG signals, and create algorithms for neural control.

Cleanroom Procedures and Protocols Simulation

Master the essential cleanroom procedures for semiconductor manufacturing through immersive XR simulations, focusing on proper attire, cleanliness, and contamination control. Apply virtual training to enter, operate, and maintain a cleanroom environment with strict adherence to industry protocols.

Computed Tomography (CT) Simulation

Train students on the operation of CT scanners, patient positioning, and the interpretation of generated images, enhanced with XR-based simulations for hands-on learning.

Robotics and Unmanned Aerial Vehicles (UAVs)

Explore the world of designing, building, and controlling Unmanned Aerial Vehicles (UAVs) and aerospace robotics for autonomous flight. In this simulation, students will gain hands-on experience by programming UAVs for specific missions, including navigation, obstacle avoidance, and data collection. Using XR-enabled environments, students will interact with drone dynamics, sensor integration, and flight path optimization techniques, while receiving valuable feedback on UAV stability, control responses, and overall mission performance.

Advanced Welding Techniques (Exotic Metals and Alloys)

The Advanced Welding Techniques (Exotic Metals and Alloys) Simulation provides experience in welding high-performance materials like titanium, Inconel, and other exotic alloys. It offers virtual practice in welding materials that require specialized techniques due to their heat sensitivity, oxidation tendencies, and high strength. Students adjust welding settings, gas flow, and filler materials to meet the unique needs of these advanced metals. Feedback is provided on weld quality, material integrity, and the specific welding methods required for working with these materials.

Non-Invasive Ventilation (NIV) Techniques

Explore non-invasive ventilation (NIV) techniques, including CPAP and BiPAP, for managing respiratory insufficiency in patients. This training offers interactive scenarios to develop skills in device setup, monitoring, and patient management.

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.