國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Compressive sensing in health care

Dey, Nilanjan, (1984-)

Compressive sensing in health care

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Compressive sensing in health careedited by Mahdi Khosravy, Nilanjan Dey, Carlos A. Duque.
其他作者:	Khosravy, Mahdi.
出版者:	London :Academic Press,2020.
面頁冊數:	1 online resource.
附註:	Includes index.
標題:	Compressed sensing (Telecommunication)
電子資源:	https://www.sciencedirect.com/science/book/9780128212479
ISBN:	9780128212486 (electronic bk.)

Compressive sensing in health care
Compressive sensing in health care[electronic resource] /edited by Mahdi Khosravy, Nilanjan Dey, Carlos A. Duque. - London :Academic Press,2020. - 1 online resource. - Advances in ubiquitous sensing applications for healthcare. - Advances in ubiquitous sensing applications for healthcare..

Includes index.

Front Cover -- Compressive Sensing in Healthcare -- Copyright -- Contents -- List of contributors -- 1 Compressive sensing theoretical foundations in a nutshell -- 1.1 Introduction -- 1.2 Digital signal acquisition -- 1.3 Vectorial representation of signal -- l1 norm -- l2 norm -- l∞norm -- Spheres made by different lp norms as distance criterion -- Basis/dictionary -- Orthonormal basis/dictionary -- Frame/ over-complete dictionary -- Alternate/dual frame -- 1.4 Sparsity -- k-sparse signal -- Non-linearity of sparsity -- Sparsity and compressibility -- 1.5 Compressive sensing

ISBN: 9780128212486 (electronic bk.)Subjects--Topical Terms:

769143
Compressed sensing (Telecommunication)
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TA1638

Dewey Class. No.: 621.382/2

Compressive sensing in health care
LDR:03256cmm a2200301 a 4500 001 601327
006 m o d
007 cr |n|||||||||
008 211110s2020 enka go 001 0 eng d
020 $a 9780128212486 (electronic bk.)
020 $a 0128212489 (electronic bk.)
020 $a 9780128212479
020 $a 0128212470
035 $a (OCoLC)1155163035
035 $a on1155163035
040 $a YDX $b eng $c YDX $d OPELS $d OCLCF $d UKMGB $d EBLCP $d NLE $d OCLCO $d OCLCA
041 0 $a eng
050 4 $a TA1638
082 0 4 $a 621.382/2 $2 23
245 0 0 $a Compressive sensing in health care $h [electronic resource] / $c edited by Mahdi Khosravy, Nilanjan Dey, Carlos A. Duque.
260 $a London : $b Academic Press, $c 2020.
300 $a 1 online resource.
490 1 $a Advances in ubiquitous sensing applications for healthcare
500 $a Includes index.
505 0 $a Front Cover -- Compressive Sensing in Healthcare -- Copyright -- Contents -- List of contributors -- 1 Compressive sensing theoretical foundations in a nutshell -- 1.1 Introduction -- 1.2 Digital signal acquisition -- 1.3 Vectorial representation of signal -- l1 norm -- l2 norm -- l∞norm -- Spheres made by different lp norms as distance criterion -- Basis/dictionary -- Orthonormal basis/dictionary -- Frame/ over-complete dictionary -- Alternate/dual frame -- 1.4 Sparsity -- k-sparse signal -- Non-linearity of sparsity -- Sparsity and compressibility -- 1.5 Compressive sensing
505 8 $a Compressive sensing model -- 1.6 Essential properties of compressive sensing matrix -- 1.6.1 Null space property (NSP) -- The essence of the concept of recovery -- Maximum compression in compressive sensing (lower bound of m) -- 1.6.2 Restricted isometry property -- 1.6.3 Coherence a simple way to check NSP -- Relation between coherence and spark of a matrix -- Coherence approach to RIP -- 1.7 Summary -- 1.A -- Null space property of order 2k -- References -- 2 Recovery in compressive sensing: a review -- 2.1 Introduction -- 2.1.1 Compressive sensing formulation
505 8 $a 2.2 Criteria required for a compressive sensing matrix -- 2.2.1 Null space property -- Null space property of order k -- 2.2.1.1 Uniqueness theorem [46] -- Maximum compression in compressive sensing -- 2.2.2 Restricted isometry property -- 2.2.3 Coherence property -- 2.2.3.1 Coherence and spark of a matrix -- 2.2.3.2 The upper bound of sparsity level -- 2.3 Recovery -- 2.3.1 Recovery via minimization of l1 norm -- 2.3.2 Greedy algorithms -- 2.3.2.1 Pursuits -- 2.3.2.2Matching pursuit -- 2.3.2.3 Orthogonal matching pursuit -- 2.3.2.4 Iterative hard thresholding -- 2.4 Summary -- References
505 8 $a Measure SGini -- 3.5 Summary -- References -- 4 Compressive sensing in practice and potential advancements -- 4.1 Introduction -- 4.2 Compressive sensing theory -- 4.3 Example compressive sensing implementations -- 4.3.1 Compressivesensing in physiological signal monitoring -- In the eld application results -- 4.3.2 Compressive sensing in THEMIS imaging -- In-the- eld application results -- 4.4 Review of CS literature -- 4.4.1 Practical manifestations of theoretical bounds -- 4.5 Advancements in compressive sensing -- 4.5.1 Personalized basis -- Challenges
650 0 $a Compressed sensing (Telecommunication) $3 769143
650 0 $a Medical innovations. $3 234116
650 1 2 $a Biosensing Techniques. $3 340516
655 0 $a Electronic books. $2 local. $3 214472
700 1 $a Khosravy, Mahdi. $3 859874
700 1 $a Dey, Nilanjan, $d 1984- $e editor. $3 777840
700 1 $a Duque, Carlos A. $3 896246
830 0 $a Advances in ubiquitous sensing applications for healthcare. $3 896240
856 4 0 $u https://www.sciencedirect.com/science/book/9780128212479