東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Fractal functions, dimensions and si...

Banerjee, Santo.

FindBook

Google Book

Amazon

博客來

Fractal functions, dimensions and signal analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fractal functions, dimensions and signal analysis/ by Santo Banerjee, D. Easwaramoorthy, A. Gowrisankar.
作者:	Banerjee, Santo.
其他作者:	Easwaramoorthy, D.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	x, 132 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Mathematical background of deterministic fractals -- Chapter 2. Fractal functions -- Chapter 3. Fractional calculus and generalized fractal functions -- Chapter 4. Signal Analysis -- Chapter 5. Multifractal and wavelet based signal analysis.
Contained By:	Springer Nature eBook
標題:	Interpolation. -
電子資源:	https://doi.org/10.1007/978-3-030-62672-3
ISBN:	9783030626723

Fractal functions, dimensions and signal analysis
Banerjee, Santo.

Fractal functions, dimensions and signal analysis[electronic resource] /by Santo Banerjee, D. Easwaramoorthy, A. Gowrisankar. - Cham :Springer International Publishing :2021. - x, 132 p. :ill., digital ;24 cm. - Understanding complex systems,1860-0832. - Understanding complex systems..

Chapter 1. Mathematical background of deterministic fractals -- Chapter 2. Fractal functions -- Chapter 3. Fractional calculus and generalized fractal functions -- Chapter 4. Signal Analysis -- Chapter 5. Multifractal and wavelet based signal analysis.

This book introduces the fractal interpolation functions (FIFs) in approximation theory to the readers and the concerned researchers in advanced level. FIFs can be used to precisely reconstruct the naturally occurring functions when compared with the classical interpolants. The book focuses on the construction of fractals in metric space through various iterated function systems. It begins by providing the Mathematical background behind the fractal interpolation functions with its graphical representations and then introduces the fractional integral and fractional derivative on fractal functions in various scenarios. Further, the existence of the fractal interpolation function with the countable iterated function system is demonstrated by taking suitable monotone and bounded sequences. It also covers the dimension of fractal functions and investigates the relationship between the fractal dimension and the fractional order of fractal interpolation functions. Moreover, this book explores the idea of fractal interpolation in the reconstruction scheme of illustrative waveforms and discusses the problems of identification of the characterizing parameters. In the application section, this research compendium addresses the signal processing and its Mathematical methodologies. A wavelet-based denoising method for the recovery of electroencephalogram (EEG) signals contaminated by nonstationary noises is presented, and the author investigates the recognition of healthy, epileptic EEG and cardiac ECG signals using multifractal measures. This book is intended for professionals in the field of Mathematics, Physics and Computer Science, helping them broaden their understanding of fractal functions and dimensions, while also providing the illustrative experimental applications for researchers in biomedicine and neuroscience.

ISBN: 9783030626723

Standard No.: 10.1007/978-3-030-62672-3doiSubjects--Topical Terms:

620349
Interpolation.

LC Class. No.: QA281

Dewey Class. No.: 511.422

Fractal functions, dimensions and signal analysis
LDR:03173nmm a2200349 a 4500 001 2237058
003 DE-He213
005 20201214054249.0
006 m d
007 cr nn 008maaau
008 211111s2021 gw s 0 eng d
020 $a 9783030626723 $q (electronic bk.)
020 $a 9783030626716 $q (paper)
024 7 $a 10.1007/978-3-030-62672-3 $2 doi
035 $a 978-3-030-62672-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA281
072 7 $a PBWR $2 bicssc
072 7 $a SCI012000 $2 bisacsh
072 7 $a PBWR $2 thema
072 7 $a PHDT $2 thema
082 0 4 $a 511.422 $2 23
090 $a QA281 $b .B215 2021
100 1 $a Banerjee, Santo. $3 1620085
245 1 0 $a Fractal functions, dimensions and signal analysis $h [electronic resource] / $c by Santo Banerjee, D. Easwaramoorthy, A. Gowrisankar.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a x, 132 p. : $b ill., digital ; $c 24 cm.
490 1 $a Understanding complex systems, $x 1860-0832
505 0 $a Chapter 1. Mathematical background of deterministic fractals -- Chapter 2. Fractal functions -- Chapter 3. Fractional calculus and generalized fractal functions -- Chapter 4. Signal Analysis -- Chapter 5. Multifractal and wavelet based signal analysis.
520 $a This book introduces the fractal interpolation functions (FIFs) in approximation theory to the readers and the concerned researchers in advanced level. FIFs can be used to precisely reconstruct the naturally occurring functions when compared with the classical interpolants. The book focuses on the construction of fractals in metric space through various iterated function systems. It begins by providing the Mathematical background behind the fractal interpolation functions with its graphical representations and then introduces the fractional integral and fractional derivative on fractal functions in various scenarios. Further, the existence of the fractal interpolation function with the countable iterated function system is demonstrated by taking suitable monotone and bounded sequences. It also covers the dimension of fractal functions and investigates the relationship between the fractal dimension and the fractional order of fractal interpolation functions. Moreover, this book explores the idea of fractal interpolation in the reconstruction scheme of illustrative waveforms and discusses the problems of identification of the characterizing parameters. In the application section, this research compendium addresses the signal processing and its Mathematical methodologies. A wavelet-based denoising method for the recovery of electroencephalogram (EEG) signals contaminated by nonstationary noises is presented, and the author investigates the recognition of healthy, epileptic EEG and cardiac ECG signals using multifractal measures. This book is intended for professionals in the field of Mathematics, Physics and Computer Science, helping them broaden their understanding of fractal functions and dimensions, while also providing the illustrative experimental applications for researchers in biomedicine and neuroscience.
650 0 $a Interpolation. $3 620349
650 0 $a Fractals. $3 524457
650 0 $a Statistical physics. $3 536281
650 0 $a Computational complexity. $3 523870
650 0 $a System theory. $3 525574
650 1 4 $a Applications of Nonlinear Dynamics and Chaos Theory. $3 3134772
650 2 4 $a Complexity. $3 893807
650 2 4 $a Complex Systems. $3 1566441
700 1 $a Easwaramoorthy, D. $3 3488979
700 1 $a Gowrisankar, A. $3 3488980
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Understanding complex systems. $3 1568162
856 4 0 $u https://doi.org/10.1007/978-3-030-62672-3
950 $a Physics and Astronomy (SpringerNature-11651)