Overview
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- Introduction: Familiarize yourself with the course.
- Generating Signals and Common Signal Operations: Generate different types of sampled signals. Perform operations in the time-domain like changing the sample rate of a signal or shifting the frequency content without introducing unwanted artifacts.
- Estimating Power Spectral Density: Estimate the power spectrum of signals with different frequency components. Explore standard techniques to improve the accuracy of your estimation.
- Improving the Power Spectral Density Estimate: Explore different spectral analysis techniques to improve results for noisy, time-varying, or short signals.
- Characterizing Digital Filters: Visualize filter characteristics in different domains to understand how a filter will modify the time-domain and frequency-domain of your signals.
- Designing Digital Filters: Design digital FIR and IIR filters using common filter response types. Start with a set of specifications or a preferred design algorithm.
- Streaming Signal Processing: Process streaming signals by dividing input data into frames and processing each frame as it is acquired.
- Conclusion: Learn next steps and give feedback on the course.