The synthesis and rotational control of radiation patterns produced by spherical arrays of loudspeakers is studied. We identify operating regions, in terms of complexity of patterns and frequency ranges, over which patterns can be accurately synthesized. By considering an inner product space of far- eld patterns, we can reason geometrically about approximation errors when using the systems to synthesize and control target responses.

The Support Vector Machine algorithm is studied in the con-text of pitch estimation. Its learning capacity is analyzed using an artificial dataset of harmonic spectra. We propose an architecture for learning pitch in difficult real-world scen-arios, and demonstrate its application with a database of gui-tar sounds. Domain-specific aspects of kernel methods are discussed, and a method for extracting structural knowledge via visualization is examined.

Time tags are not widely used in OSC. This paper will introduce the original intention of time tags, discuss the challenges of implementing and using them, and introduce some new ideas about how they might be better employed and implemented.

Time tags were introduced to address a number of problems and concerns we encountered at CNMAT using a predecessor protocol to OSC: