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a 9781510633841

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7 

a 10.1117/3.2554039
2 doi

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a (Sirsi) a802236

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a eng

100 
1 

a Yaroslavsky, Leonid P.,
e author

245 


a Advances in sampling theory and techniques
h [EBook] /
c author: Leonid P. Yaroslavsky

264 

1 
a Bellingham, Washington :
b SPIE,
c 2020
e (SPIE)
f SPIE20200303

300 


a 1 online resource (214 pages)

336 


a text
b txt
2 rdacontent

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a computer
b c
2 rdamedia

338 


a online resource
b cr
2 rdacarrier

490 


a SPIE Press monograph ;
v PM315

500 


a englisch

505 


a Introduction  Sampling Theorems  Compressed Sensing Demystified  Image Sampling and Reconstruction with Sampling Rates Close to the Theoretical Minimum  Signal and Image Resampling, and Building Their Continuous Models  Discrete Sinc Interpolation in Other Applications and Implementations  The Discrete Uncertainty Principle, Sinclets, and Other Peculiar Properties of Sampled Signals  Basic Principles of Discrete Representation of Signal Transformations  Discrete Representation of the Convolution Integral  Discrete Representation of the Fourier Integral Transform  Appendix 1: Fourier Series, Integral Fourier Transform, and Delta Function  Appendix 2: Discrete Fourier Transforms and Their Properties

520 


a This book provides both the most updated formulations of the sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, as well interpolationerrorfree methods of image resampling and the theory of discrete representation of signal integral transforms. Topics include classical sampling theory, compressed sensing, nonredundant sampling, fast signal resampling algorithms, the discrete uncertainty principle, digital convolution, and various versions of discrete Fourier transforms. Exercises based in MATLAB supplement the text throughout.

650 

0 
a Signal processing  Digital techniques  Mathematics.

650 

0 
a Image processing  Digital techniques  Mathematics.

650 

0 
a Fourier transformations.

856 


u https://dx.doi.org/10.1117/3.2554039
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