Oversampling and Coarse Quantization for Signals

CSIC Building (#406), Seminar Room 4122.
Directions: home.cscamm.umd.edu/directions

Oversampling and Coarse Quantization:
An Audio
Signal Processing Perspective

Dr. Patrick Wolfe

Division of Engineering and Applied Sciences at Harvard University

Abstract:   In many ways the process of sampling, digitizing, and then reconstructing an audio waveform is a canonical example of (one-dimensional) signal processing. Indeed, many aspects of the coarse quantization problem can be viewed through this lens--for instance noise shaping, robust encoding, efficient reconstruction algorithms, and the like. In this talk I will address these issues from an audio signal processing perspective, and give an overview of the ways in which advances in applied mathematics have impacted the professional audio community. I will also survey the state of the art in sigma-delta modulator design for so-called "high-end" audio applications, including the Sony/Philips DSD standard for high-resolution audio currently used to produce Super Audio Compact Discs.