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E C E 303

INTRODUCTION TO REAL-TIME DIGITAL SIGNAL PROCESSING

2 credits.

Emphasizes the implementation of DSP algorithms on a digital signal processor in "real-time." Many of the signal processing algorithms that were used in E C E 203 will be reviewed in MATLAB and then will be implemented on a floating point signal processor in "real-time" using the C programming language. Explore many basic digital signal processing processes in real-time. Gain the ability to create and develop your own Digital Signal Processing projects for a modern digital signal precessor using an Integrated Development Environment. Lab hardware will be provided.

Prerequisites & course information

Requisites: E C E 203 or member of Engineering Guest Students Repeatable for Credit: No Last Taught: Spring 2025 Learning Outcomes: 1. Define what it means for a system to be real-time Audience: Undergraduate 2. Implement a real-time signal processing platform for real-time system evaluation Audience: Undergraduate 3. Operate a signal processing system to evaluate real-time software performance Audience: Undergraduate 4. Analyze the performance of real-time software Audience: Undergraduate 5. Optimize the software performance of a real-time system Audience: Undergraduate 6. Verify the software performance of a real-time system Audience: Undergraduate 7. Communicate results from real-time systems using tables, equations and graphs Audience: Undergraduate Learning Outcomes: 1. Define what it means for a system to be real-time Audience: Undergraduate 2. Implement a real-time signal processing platform for real-time system evaluation Audience: Undergraduate 3. Operate a signal processing system to evaluate real-time software performance Audience: Undergraduate 4. Analyze the performance of real-time software Audience: Undergraduate 5. Optimize the software performance of a real-time system Audience: Undergraduate 6. Verify the software performance of a real-time system Audience: Undergraduate 7. Communicate results from real-time systems using tables, equations and graphs Audience: Undergraduate

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