December 2024

OES Members in print – James V. Candy

Jim Candy’s new Signal Processing textbook

James V. Candy

Chief Scientist for Engineering, Lawrence Livermore National Laboratory

Adjunct Full Professor, University of California, Santa Barbara

This new text is focused on the decomposition of complex signals into independent sub-signals or, equivalently, components enabling subsequent analysis and design. Decomposing a signal into its constituent components not only enables an effective mechanism for analysis, but also provides a means to process each individual component more effectively, while mitigating disturbances and noise.

Decomposition techniques have evolved historically as the Fourier decomposition of a signal and/or system into sinusoidal components for subsequent frequency domain analysis, to statistical decompositions in classifications, to modal decompositions in structural analysis, to wavelet decompositions providing a novel domain for subsequent analysis of variable signals. This text is focused on such a decomposition essentially decoupling signals and their underlying systems into more manageable independent sub-signals or subsystems enabling effective analysis and subsequent designs.