खोजी परिणाम

This book is about computational methods based on operator-splitting. The three editors, while all being applied mathematicians whose expertise include splitting methods, work in different application areas including computational mechanics, image processing, wireless communication, nonlinear optic... थप

Introduction to compressive sensing. This course introduces the basic concepts in compressive sensing. We overview the concepts of sparsity, compressibility, and transform coding. We then review applications of sparsity in several signal processing problems such as sparse recovery, model sele... थप

Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisiti... थप