大葉大學圖書館 |

登入

回首頁 到查詢結果 [ subject:"Matrices." ]

Spectral theory of large dimensional...

Bai, Zhidong.

Spectral theory of large dimensional random matrices and its applications to wireless communications and finance statistics[electronic resource] :random matrix theory and its applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.2
書名/作者:	Spectral theory of large dimensional random matrices and its applications to wireless communications and finance statistics : random matrix theory and its applications // Zhidong Bai, Zhaoben Fang, Ying-Chang Liang.
作者:	Bai, Zhidong.
其他作者:	Fang, Zhaoben.
出版者:	[Anhui] : : University of Science and Technology of China Press ;, 2014.
面頁冊數:	1 online resource (xi, 220 p.) : : ill.
附註:	"This work is originally published by University of Science and Technology of China Press in 2010"--Title page verso.
標題:	Matrices.
ISBN:	9789814579063
ISBN:	9814579068
書目註:	Includes bibliographical references (p. 201-215) and index.
內容註:	Limiting spectral distributions -- Extreme eigenvalues -- Central limit theorems of linear spectral statistics -- Limiting behavior of eigenmatrix of sample covariance matrix -- Wireless communications -- limiting performances of linear and iterative receivers -- Application to finance.
摘要、提要註:	The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and Applications to finance. In the first part, we introduce some basic theorems of spectral analysis of large dimensional random matrices that are obtained under finite moment conditions, such as the limiting spectral distributions of Wigner matrix and that of large dimensional sample covariance matrix, limits of extreme eigenvalues, and the central limit theorems for linear spectral statistics. In the second part, we introduce some basic examples of applications of ...
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/9049#t=toc

Spectral theory of large dimensional random matrices and its applications to wireless communications and finance statistics[electronic resource] :random matrix theory and its applications /
Bai, Zhidong.

Spectral theory of large dimensional random matrices and its applications to wireless communications and finance statisticsrandom matrix theory and its applications /[electronic resource] :Zhidong Bai, Zhaoben Fang, Ying-Chang Liang. - [Anhui] :University of Science and Technology of China Press ;2014. - 1 online resource (xi, 220 p.) :ill.

"This work is originally published by University of Science and Technology of China Press in 2010"--Title page verso.

Includes bibliographical references (p. 201-215) and index.

Limiting spectral distributions -- Extreme eigenvalues -- Central limit theorems of linear spectral statistics -- Limiting behavior of eigenmatrix of sample covariance matrix -- Wireless communications -- limiting performances of linear and iterative receivers -- Application to finance.

The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and Applications to finance. In the first part, we introduce some basic theorems of spectral analysis of large dimensional random matrices that are obtained under finite moment conditions, such as the limiting spectral distributions of Wigner matrix and that of large dimensional sample covariance matrix, limits of extreme eigenvalues, and the central limit theorems for linear spectral statistics. In the second part, we introduce some basic examples of applications of ...

ISBN: 9789814579063Subjects--Topical Terms:

435467
Matrices.

LC Class. No.: QA273

Dewey Class. No.: 519.2

Spectral theory of large dimensional random matrices and its applications to wireless communications and finance statistics[electronic resource] :random matrix theory and its applications /
LDR:02166cam a2200313Ia 4500 001 428014
003 OCoLC
005 20151106101221.0
006 m o d
007 cr mn|||||||||
008 151130s2014 cc a ob 001 0 eng d
020 $a 9789814579063 $q (electronic bk.)
020 $a 9814579068 $q (electronic bk.)
020 $z 9789814579056
020 $z 981457905X
035 $a (OCoLC)873140220
035 $a ocn873140220
040 $a EBLCP $b eng $c EBLCP $d OSU $d N $d DEBSZ $d YDXCP $d COO $d OCLCQ $d GGVRL $d OCLCQ
050 4 $a QA273
050 4 $a QA188 $b .B3525 2014eb
082 0 4 $a 519.2
100 1 $a Bai, Zhidong. $3 609365
245 1 0 $a Spectral theory of large dimensional random matrices and its applications to wireless communications and finance statistics $h [electronic resource] : $b random matrix theory and its applications / $c Zhidong Bai, Zhaoben Fang, Ying-Chang Liang.
260 $a [Anhui] : $b University of Science and Technology of China Press ; $a Singapore : $b World Scientific, $c 2014.
300 $a 1 online resource (xi, 220 p.) : $b ill.
500 $a "This work is originally published by University of Science and Technology of China Press in 2010"--Title page verso.
504 $a Includes bibliographical references (p. 201-215) and index.
505 0 $a Limiting spectral distributions -- Extreme eigenvalues -- Central limit theorems of linear spectral statistics -- Limiting behavior of eigenmatrix of sample covariance matrix -- Wireless communications -- limiting performances of linear and iterative receivers -- Application to finance.
520 $a The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and Applications to finance. In the first part, we introduce some basic theorems of spectral analysis of large dimensional random matrices that are obtained under finite moment conditions, such as the limiting spectral distributions of Wigner matrix and that of large dimensional sample covariance matrix, limits of extreme eigenvalues, and the central limit theorems for linear spectral statistics. In the second part, we introduce some basic examples of applications of ...
588 0 $a Print version record.
650 0 $a Matrices. $3 435467
700 1 $a Fang, Zhaoben. $3 609366
700 1 $a Liang, Ying-Chang. $3 609367
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/9049#t=toc

筆 0 讀者評論

多媒體

多媒體檔案
http://www.worldscientific.com/worldscibooks/10.1142/9049#t=toc

評論

新增評論分享你的心得

Export

取書館別