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Lecture
Digital Musicology: Pitch, Scales, and Cognitive Principles
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Related lectures (32)
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Musical Beat and Tempo
Delves into musical beat, tempo, expressive timing, and rhythmic structures, exploring cognitive entrainment, metrical grids, and rhythmic transitions.
Music and Emotion: Understanding Expressive Communication
Explores the communication differences between music and language, models of emotion, and how emotions can be measured in music.
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Delves into how language shapes perception and attention, influencing our understanding.
Harmonic Signals and Spectrum Estimation
Explores harmonic signals, spectrum estimation, and signal analysis methods using MATLAB tools.
Practical Engineering: Signal Processing and Sound Synthesis
Covers advanced software engineering topics in signal processing and sound synthesis using Scala.
Digital Musicology: Definitions and Cognitive Systems
Delves into music definitions, cognitive systems, tonal dependencies, and syntax.
Separate Compilation: Linker/Loader; Make
Covers separate compilation, linking modules, loader role, and makefile usage.
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Covers statistical signal processing tools for wireless communications, including spread spectrum, spectral analysis, ultra-wide band communications, and heart rate variability analysis.
Neuroprosthetics: Decoding Human Brain Activity
Explores decoding human brain activity for decision-making, behavior control, and speech processing, with implications for neuroprosthetics.
Digital Musicology: Music Evolution
Explores the evolution of music from medieval to modern times, covering different periods, styles, and composers.
