Volume 1 in this series laid the mathematical foundations of sampling theory; Volume 2 surveys the many applications of the theory both within mathematics and i

Our understanding of nature is often through nonuniform observations in space or time. In space, one normally observes the important features of an object, such

This book provides a large extension of the general theory of reproducing kernels published by N. Aronszajn in 1950, with many concrete applications.In Chapter

During his long and distinguished career, J. Rowland Higgins (1935-2020) made a substantial impact on many mathematical fields through his work on sampling theo

The chapters of this volume are based on talks given at the eleventh international Sampling Theory and Applications conference held in 2015 at American Universi