Sparsity Methods for Systems and Control / / Masaaki Nagahara.
The method of sparsity has been attracting a lot of attention in the fields related not only to signal processing, machine learning, and statistics, but also systems and control. The method is known as compressed sensing, compressive sampling, sparse representation, or sparse modeling. More recently...
Saved in:
VerfasserIn: | |
---|---|
Place / Publishing House: | Hanover, Massachusetts : : Now Publishers,, 2020. |
Year of Publication: | 2020 |
Language: | English |
Physical Description: | 1 online resource (x, 212 pages) :; illustrations |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields / / Maximilian Schambach.
by: Schambach, Maximilian,
Published: (2022.) -
A beginner's guide to multi-level image thresholding / / authored by: Dr. Venkatesan Rajinikanth, Dr. Nadaradjane Sri Madhava Raja, Dr. Nilanjan Dey.
by: Rajinikanth, Venkatesan,
Published: ([2021]) -
Next-generation video coding and streaming / / Benny Bing.
by: Bing, Benny,
Published: (2015.) -
Sparsity methods for systems and control / / Masaaki Nagahara.
by: Nagahara, Masaaki,
Published: ([2020]) -
Tokyo Boogie-Woogie : : Japan's Pop Era and Its Discontents / / Hiromu Nagahara.
by: Nagahara, Hiromu,
Published: ([2017])