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Nº de artículo:
79165422
Digital Signal Processing: Theory and Practice, (Hardcover)
Nº de artículo:
79165422
USD 119
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A comprehensive exposition of all major topics in digital signal processing (DSP)
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What Stands Out
Comprehensive Theory
Offers an in-depth exploration of digital signal processing fundamentals, making complex concepts accessible for students and professionals alike, enabling effective application in real-world scenarios.
Practical Applications
Integrates theoretical knowledge with practical exercises, allowing readers to implement DSP techniques and solve industry-relevant problems, enhancing both understanding and skillset.
Hardcover Durability
Designed in a sturdy hardcover format, this edition ensures longevity and resilience, making it an essential reference book for both academic and professional environments.
Detalles de producto
- Comprehensive exposition of major topics in digital signal processing (DSP)
- Includes MATLAB-based examples with codes for better understanding and confidence building
- Addresses real-world signal processing design problems using MATLAB and programmable DSP processors
- Discusses emerging topics not typically found in advanced texts on DSP
- Covers adaptive digital filters and provides an overview of wavelets and DSP processors
- Valuable resource for undergraduate and graduate students, researchers, and practicing engineers
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | April, 2018 |
| Pages | 789 |
| Subgenre | Mathematical Analysis |
| Series title | No Series |
| Edition | 2018 Edition |
| Publisher | Springer Nature Singapore |
| Original languages | English |
| Language | English |
| Edu focus | Engineering |
| Educational level | College |
| Awards won | IETE K.S. Krishnan Memorial Award, IEEE Circuits and Systems Society awards, Education Award, Golden Jubilee Medal, Guillemin-Cauer Best Paper Award, commemorative medal for the 125th Anniversary of Canada |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 1.69 x 9.21 in (15.6 x 4.3 x 23.4 cm) |
| Assembled product weight | 2.88 lb (1.31 kg) |
| Bisac subject heading | Mathematics |
Who Should Buy?
-
Engineering Students
Ideal for undergraduate and graduate students studying electrical engineering or related fields with a focus on signal processing.
-
Practicing Engineers
Helpful for professionals working in telecommunications, audio engineering, or other fields that require advanced signal processing knowledge.
-
Researchers
Useful for academic researchers looking for comprehensive theoretical and practical insights into digital signal processing techniques.
-
Casual Learners
Not suited for individuals seeking a casual introduction to digital signal processing without rigorous detail or advanced mathematics.
-
Beginners
May be challenging for those with no prior knowledge in signals, systems, or mathematical foundations essential for understanding.
-
Non-Technical Readers
Not ideal for general audiences or non-technical readers who may struggle with complex concepts and terminology.
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Preguntas y respuestas de los clientes
-
Pregunta:
Who is the target audience for this book?
Respuesta: Undergraduate and graduate students, researchers, practicing engineers and scientists in electronics, communications, and computer engineering -
Pregunta:
Are there any practical examples given in the book?
Respuesta: Yes, the book includes numerous illustrative examples for easy understanding of the topics. -
Pregunta:
Does the book cover emerging topics in DSP?
Respuesta: Yes, the book addresses many emerging topics that are not typically found in advanced texts on DSP.
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USD 119
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PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
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Fastest cross-border delivery
características y beneficios
- Comprehensive exposition of all major DSP topics
- Includes numerous illustrative examples for easy understanding
- MATLAB-based examples and codes to boost confidence
- Real-world signal processing design problems discussed
- Chapter on adaptive digital filters for faster acceptable results
- Overview of wavelets for signal and image processing
- Focus on DSP processors, an area of growing interest
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