Mastering the Short Time Fourier Transform
A Practical Guide to Time-Frequency Analysis and Signal Processing
Understanding how signals change over time is one of the most challenging problems in signal processing. Traditional Fourier analysis reveals frequency content but loses temporal information, while time-domain analysis shows when events occur but obscures their frequency characteristics. The Short Time Fourier Transform solves this dilemma by providing simultaneous insight into both dimensions. This book guides you through the complete landscape of STFT—from mathematical foundations to practical implementation. You'll discover how window functions shape analysis quality, master the critical time-frequency resolution trade-off, and learn to interpret spectrograms with confidence. Through real-world examples in audio processing, speech analysis, and vibration monitoring, you'll develop the intuition needed to apply STFT effectively. Whether you're building audio applications, analyzing sensor data, or exploring signal characteristics, this comprehensive guide equips you with both theoretical understanding and practical skills to leverage time-frequency analysis in your work.
Est. Length
222 pages (10 chapters)
Language
English
Publication date
Jan 1, 2026
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