T:A:L:K:S

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title:
Generalized sampling: frames, ill-posed problems, and infinite dimensional compressed sensing
name:
Herrholz
first name:
Evelyn
location/conference:
NOKO11
abstract:
This talk is concerned with generalized sampling theorems where the sampling and synthesis systems form frames. This concept specialized to Riesz systems is then applied to retrieve sampling theorems for operator equations (in particular for inverse and ill-posed problems). As the latter setup splits into a two-step procedure (sampling and recovery) a direct approach of infinite compressive sensing can be applied in the sampling step.