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Kutyniok, Gitta.

Overview

Works:	2 works in 3 publications in 1 languages

Titles

Compressed Sensing and Its Applications = Third International MATHEON Conference 2017 / by: Mathar, Rudolf.; Calderbank, Robert.; Kutyniok, Gitta.; SpringerLink (Online service); Boche, Holger.; Petersen, Philipp.; Caire, Giuseppe. (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/edt]

Shearlets = multiscale analysis for multivariate data / by: Kutyniok, Gitta.; Labate, Demetrio.; SpringerLink (Online service) (Language materials, printed)

Mathematical aspects of deep learning by: Kutyniok, Gitta.; Grohs, Philipp. (Language materials, printed)

Compressed Sensing and its Applications = MATHEON Workshop 2013 / by: Vybíral, Jan.; Boche, Holger.; SpringerLink (Online service); Calderbank, Robert.; Kutyniok, Gitta. (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/edt]

Compressed Sensing in Information Processing by: SpringerLink (Online service); Kutyniok, Gitta.; Kunsch, Robert J.; Rauhut, Holger. (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/edt]

Compressed sensing : = theory and applications / by: Eldar, Yonina C.; Kutyniok, Gitta. (Language materials, printed)

Finite frames = theory and applications / by: Kutyniok, Gitta.; Casazza, Peter G.; SpringerLink (Online service) (Language materials, printed)

Subjects

Computer mathematics. Computer science—Mathematics. Numerical analysis. Fourier Analysis. Digital and Analog Signal Processing. Signal processing. Machine learning. Linear and Multilinear Algebras, Matrix Theory. Wavelets (Mathematics) Numerical Analysis. Data Storage Representation. Applications of Mathematics. Frames (Vector analysis) Approximations and Expansions. Harmonic analysis. Abstract Harmonic Analysis. Image Processing. Speech processing systems. Information and Communication, Circuits. Computational Mathematics and Numerical Analysis. Multivariate analysis. Mathematical Applications in Computer Science. Mathematics. Coding theory. Matrix theory. Machine Learning. Fourier analysis. Deep learning (Machine learning) Computational Science and Engineering. Mathematics—Data processing. Operator Theory. Computer Imaging, Vision, Pattern Recognition and Graphics. Image processing. Algebra. Signal, Image and Speech Processing. Information theory. Coding and Information Theory.