Signal Peak Detection and Analysis
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Resource Overview
Identifying peak points in signals with configurable peak range thresholds and amplitude criteria for precise signal characterization.
Detailed Documentation
Detecting peak points in signals represents a fundamental signal processing task. By establishing peak range boundaries and amplitude thresholds, we can precisely identify specific peak locations. The peak detection process enables characterization of signal maxima, facilitating deeper analysis of signal properties and behaviors. Common implementation approaches involve algorithms like local maxima search with sliding windows, where MATLAB's findpeaks() function can be applied with parameters like 'MinPeakHeight' for amplitude filtering and 'MinPeakDistance' for temporal spacing constraints. Advanced techniques may incorporate smoothing filters or derivative-based detection to handle noisy signals effectively.
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