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"Frequency analysis" as a book category covers the theory, methods, and applications of studying the distribution of frequency content in signals and datasets. It includes texts on Fourier and harmonic analysis, spectral estimation, time–frequency methods (e.g., wavelets, STFT), and computational tools (FFT, periodograms) as well as applied treatments in acoustics, electronics and communications, seismology, medical signal processing (EEG/ECG), astronomy, finance, and pattern/cryptanalysis. Books in this category range from mathematical foundations and algorithm design to practical tutorials, case studies, and software-guided labs, aimed at students, engineers, data scientists, and researchers who need to extract periodicities, resonances, and spectral characteristics from real-world data.

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