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Index: Spectral Audio Signal Processing
Spectral Audio Signal Processing
Spectrum Analysis of an Oboe Tone
Spectrum Analysis of an Oboe Tone
Hamming-Windowed Oboe Recording
Matlab is a high-level scripting language for scientific computing — Click for https://ccrma.stanford.edu/~jos/matlab/
Click for https://ccrma.stanford.edu/~jos/mdft/Zero_Padding.html
Fast Fourier Transforms (FFT) are fast algorithms for computing the Discrete Fourier Transform (DFT) — Click for https://ccrma.stanford.edu/~jos/mdft/Fast_Fourier_Transform_FFT.html
Pitch is the perceived fundamental frequency of a sound. — Click for http://en.wikipedia.org/wiki/Pitch_(music)
A periodic signal is a signal that forever repeats itself. — Click for http://en.wikibooks.org/wiki/Signals_and_Systems/Periodic_Signals
Figure 3.16a shows a segment of two quasi periods from an
oboe
recording
at the pitch C4, and
Fig.3.16b shows the corresponding FFT magnitude. The window
length was set to the next integer greater than twice the period
length in samples. The FFT size was set to the next power of 2 which
was at least five times the window length (for a minimum zero-padding
factor of 5). The complete Matlab script is listed in
§F.2.5.
Figure 3.16:
(a) Rectangularly windowed segment
of two periods from the steady state portion of an oboe recording
of pitch `C4'. (b) Zero-padded FFT magnitude.
![\includegraphics[width=\twidth]{eps/oboeboxcar}](img430.png)
