Antoniou, Anthony2024-08-122024-08-1220022002https://hdl.handle.net/1828/16970The frequency domain of signals is traditionally examined through techniques based on the Fourier transform: These techniques give a linear view of the frequency spectrum in Hertz, and are ideal for the numerical analysis and manipulation of spectra. In this work, we propose a scheme suited to the analysis of musical signals: The Musical Spectrogram. A four-stage system, the Musical Spectrogram consists of a tuning module, a 9 octave­ band filter bank, a 12 semitone-band filter bank array and an output system. The spectrum of a musical signal is first decomposed into octave subbands, and each is separated into mu­sical scale semitone subbands and plotted. New insights are offered by exploring the musi­cal spectrograms of a number of test signals, and the commercial potentials of this new analysis tool are explored. Simulation results of a Musical Spectrogram system are presented. A complete MAT­ LAB implementation of this system is tested to prove the function and form of the system. A limited real-time implementation of this system on the Analog Devices ADSP-2181 fixed-point digital signal processor is also presented which underscores the many difficul­ties inherent in development for such platforms, and details several novel solutions devised to address them. The numerous advantages and properties of the Musical Spectrogram sys­tem are also presented and discussed, and a complete real-time software version is put for­ward as future work.166 pagesAvailable to the World Wide WebThesis