國立虎尾科技大學 |

Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications/ by K.S. Thyagarajan.
作者:	Thyagarajan, K.S.
面頁冊數:	XI, 505 p. 396 illus., 214 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Signal processing. -
電子資源:	https://doi.org/10.1007/978-3-319-76029-2
ISBN:	9783319760292

Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications
Thyagarajan, K.S.

Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications[electronic resource] /by K.S. Thyagarajan. - 1st ed. 2019. - XI, 505 p. 396 illus., 214 illus. in color.online resource.

Introduction -- Discrete-Time Signals & Systems -- Z-Transform -- Frequency Domain Representation of Discrete-time Signals & Systems -- Discrete Fourier Transform -- IIR Digital Filters -- FIR Digital Filters -- Digital Filter Structures -- Fast Fourier Transform -- DSP in Communications -- Conclusion.

This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego. Based on the author’s popular online courses in signal processing at UC San Diego Presents an overview of signal processing, followed by easy to follow instructions without a myriad of complex mathematical derivations Enhanced by the use of MATLAB and a variety of exercises case studies, giving students hands-on experience in designing and processing signals in the digital domain.

ISBN: 9783319760292

Standard No.: 10.1007/978-3-319-76029-2doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications
LDR:03325nam a22004215i 4500 001 1016300
003 DE-He213
005 20200630043952.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783319760292 $9 978-3-319-76029-2
024 7 $a 10.1007/978-3-319-76029-2 $2 doi
035 $a 978-3-319-76029-2
050 4 $a TK5102.9
050 4 $a TA1637-1638
072 7 $a TTBM $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TTBM $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Thyagarajan, K.S. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1310673
245 1 0 $a Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications $h [electronic resource] / $c by K.S. Thyagarajan.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XI, 505 p. 396 illus., 214 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Introduction -- Discrete-Time Signals & Systems -- Z-Transform -- Frequency Domain Representation of Discrete-time Signals & Systems -- Discrete Fourier Transform -- IIR Digital Filters -- FIR Digital Filters -- Digital Filter Structures -- Fast Fourier Transform -- DSP in Communications -- Conclusion.
520 $a This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego. Based on the author’s popular online courses in signal processing at UC San Diego Presents an overview of signal processing, followed by easy to follow instructions without a myriad of complex mathematical derivations Enhanced by the use of MATLAB and a variety of exercises case studies, giving students hands-on experience in designing and processing signals in the digital domain.
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Electrical engineering. $3 596380
650 0 $a Computer communication systems. $3 1115394
650 0 $a Computers. $3 565115
650 1 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Communications Engineering, Networks. $3 669809
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Information Systems and Communication Service. $3 669203
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319760285
776 0 8 $i Printed edition: $z 9783319760308
776 0 8 $i Printed edition: $z 9783030093846
856 4 0 $u https://doi.org/10.1007/978-3-319-76029-2
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)