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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 →

Plasma Processing Simulation

Immerse in plasma processing through interactive XR simulations. Master key techniques for etching and deposition in semiconductor manufacturing, including reactive ion etching (RIE) and plasma-enhanced chemical vapor deposition (PECVD), with real-time process adjustments and optimization.

Tool Usage and Aircraft Maintenance Techniques

Explore the effective use of advanced tools and techniques in XR-powered aviation maintenance simulations, enhancing precision and efficiency in real-world tasks.

Machining Materials and Tool Selection

Provide hands-on training in selecting and machining various materials, including steel, aluminum, brass, and plastics. Through virtual XR simulations, students will match materials with the correct cutting tools based on hardness, toughness, and machinability. They will practice adjusting cutting parameters, like speed, feed rates, and depth of cut, ensuring optimal performance and longevity of tools in real-time machining scenarios. This immersive experience will help students understand material behavior and improve machining efficiency in both manual and CNC operations.

Clinical Equipment Calibration and Maintenance

Provide hands-on training in the calibration, maintenance, and troubleshooting of clinical equipment used in hospitals and research labs through immersive XR simulations. Students will interact with devices like ventilators, infusion pumps, ECG machines, and defibrillators to enhance their technical skills and ensure optimal device performance.

Rocket Propulsion and Launch Systems

Explore the principles of rocket propulsion and the dynamics of launch systems through XR-powered simulations. Students engage in virtual rocket labs where they design and analyze rocket engines, simulate propellant flow, and study thrust and trajectory. Interactive scenarios allow students to gain a deeper understanding of staging, ignition sequences, and flight stability during launch, with feedback provided on propulsion efficiency, fuel consumption, and optimization of launch trajectories.

Welding Blueprint Reading and Symbols

The Welding Blueprint Reading and Symbols simulation uses XR to enhance understanding of welding blueprints and symbols, enabling accurate interpretation and application of welding instructions.

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.