Generation of a Chirp Signal with Time-Frequency Analysis and Matched Filtering Implementation
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In this article, we discuss methods for generating a chirp signal while demonstrating both its time-domain waveform and frequency-domain spectral characteristics. We further implement a matched filter for optimal signal detection, with detailed explanations of cross-correlation algorithms and their implementation using functions like scipy.signal.correlate. Additionally, we address time-delay compensation techniques in filtering operations, showcasing how to adjust filter parameters or employ time-shift algorithms to maintain detection accuracy when signals contain propagation delays. Through these technical discussions, we provide comprehensive insights into chirp signal properties and practical filter applications in signal processing systems.
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