Underlying theory and guiding principles of digital geophysical data collection and processing system design. Discrete Fourier and sampling theory; filter poles and zeros, signal shaping, least-squares and prediction filters; causality implications. Applications to processing of potential field map data and waveform time series. Theory and practice of geophysical inversion culminating in the design and construction of optimized quantitative Earth models. Discrete linear problems, maximum likelihood, Lanczos decomposition, uniqueness and accuracy. Nonlinear problems from seismic imaging. Offered in 2009-2010. PREREQUISITES
