Use established signal processing methods for sampling, spectral analysis, and filtering in MATLABĀ®. Learn to use different techniques to get accurate, informative results from your signals.
Familiarize yourself with the course.
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.
Estimate the power spectrum of signals with different frequency components. Explore standard techniques to improve the accuracy of your estimation.
Explore different spectral analysis techniques to improve results for noisy, time-varying, or short signals.
Visualize filter characteristics in different domains to understand how a filter will modify the time-domain and frequency-domain of your signals.
Design digital FIR and IIR filters using common filter response types. Start with a set of specifications or a preferred design algorithm.
Process streaming signals by dividing input data into frames and processing each frame as it is acquired.
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Format:Self-paced
Language:English
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An interactive introduction to signal processing methods for spectral analysis.