Thesis Chapters by Tom Srugo
In this document I shall present some different subjects, directly and indirectly related, to the... more In this document I shall present some different subjects, directly and indirectly related, to the field of temporal patterns in general, and the search for a possible relation between temporal patterns and the overtones series, and to proportions in pitch harmony in particular. My personal interest of trying to find 'hidden information' in single sounds, as will be describes in more detail later, together with my fascination to the mental effects occurring from exposure to long recursive music, such as minimalism, indian, african and the vast electronic dance styles, led me to investigate if there is a possible physical relationship between the sound micro-level and the structural macro-level, in extreme recursive musical styles, and if there is such relationship, is it perceived by human ear on certain conditions. Most of the effort was put in constructing temporal patterns, which are related, in this way or another to pitch intervals and chords proportions, trying to characterize them in harmonic means, and expanding this pattern generation method to be generated from the analysis of (harmonic) sound spectrums inputs. This work includes topics from different subjects including ethnomusicology, cognitive science, composition, mathematics and physics to name a few, and therefor I shall only briefly explain the related topics supporting or related to the discussed ideas, and will give more focus on explaining my theories and speculations, and its applications in detail.
Papers by Tom Srugo
Electronics Report: Tactile Analog Sensors Board for Controlling Computer Sound-and-Light Systems... more Electronics Report: Tactile Analog Sensors Board for Controlling Computer Sound-and-Light Systems using OSC Protocol via Ethernet.
Conference Presentations by Tom Srugo
In this paper, we describe an algorithm for estimating heart rate from an optically measured PPG ... more In this paper, we describe an algorithm for estimating heart rate from an optically measured PPG signal when physical exercises are performed. In this case, the PPG signal is contaminated by motion artifacts caused by hand movements, making it difficult to find its fundamental frequency that corresponds to the heart rate. To overcome the noise, a soft decision approach is taken, by which several candidates for the fundamental frequency of the PPG signal are extracted and assigned grades. By appropriate grade weighting, the candidate having the maximal grade is selected. The presented algorithm is of low complexity and shown to provide good results. As such, it can be used in low-power portable devices for real time heart rate estimation.
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Thesis Chapters by Tom Srugo
Papers by Tom Srugo
Conference Presentations by Tom Srugo