Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab
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Summary of the Classic Sampling Theory

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab ◽

10.2174/9789811471810120030003 ◽

2020 ◽

pp. 4-26

Author(s):

Leonid Yaroslavsky

Keyword(s):

Sampling Theory

Preface

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab ◽

10.2174/9789811471810120030001 ◽

2020 ◽

pp. i-i

Author(s):

Leonid Yaroslavsky

Subject Index

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab ◽

10.2174/9789811471810120030012 ◽

2020 ◽

pp. 172-173

Author(s):

Leonid Yaroslavsky

Image Resampling: Preliminaries and Problem Formulation

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab ◽

10.2174/9789811471810120030008 ◽

2020 ◽

pp. 99-116

Author(s):

Leonid Yaroslavsky

Keyword(s):

Problem Formulation

Sampling Real Not Band-Limited Signals

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab ◽

10.2174/9789811471810120030004 ◽

2020 ◽

pp. 27-40

Author(s):

Leonid Yaroslavsky

Keyword(s):

Band Limited

Compressed Sensing: A Method of Reconstruction of Signals Sampled With Aliasing

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab ◽

10.2174/9789811471810120030006 ◽

2020 ◽

pp. 57-67

Author(s):

Leonid Yaroslavsky

Keyword(s):

Compressed Sensing

References

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab ◽

10.2174/9789811471810120030011 ◽

2020 ◽

pp. 171-171

Author(s):

Leonid Yaroslavsky

Image Resampling: Fast Computational Algorithms

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab ◽

10.2174/9789811471810120030009 ◽

2020 ◽

pp. 117-138

Author(s):

Leonid Yaroslavsky

Keyword(s):

Computational Algorithms

How One Can Sample Images with Sampling Rates Close To the Theoretical Minimum

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab ◽

10.2174/9789811471810120030007 ◽

2020 ◽

pp. 68-98

Author(s):

Leonid Yaroslavsky

Keyword(s):

Theoretical Minimum

Introduction

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab ◽

10.2174/9789811471810120030002 ◽

2020 ◽

pp. 1-3

Author(s):

Leonid Yaroslavsky

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using MatlabLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By BENTHAM SCIENCE PUBLISHERS

Summary of the Classic Sampling Theory

Preface

Subject Index

Image Resampling: Preliminaries and Problem Formulation

Sampling Real Not Band-Limited Signals

Compressed Sensing: A Method of Reconstruction of Signals Sampled With Aliasing

References

Image Resampling: Fast Computational Algorithms

How One Can Sample Images with Sampling Rates Close To the Theoretical Minimum

Introduction

Digital Signal Processing in Experimental Research - How to Optimally Sample and Resample Images: Theory and Methods Using Matlab
Latest Publications