Digital Signal Processing: Fundamentals and Applications
Digital Signal Processing: Fundamentals and Applications
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Digital Signal Processing: Fundamentals and Applications
Digital Signal Processing: Fundamentals and Applications
Digital Signal Processing, Second Edition enables electrical engineers and technicians to master the essential fundamentals of DSP principles and practice.
Digital Signal Processing: Fundamentals and Applications
ერთეულის #: 27686749

Digital Signal Processing: Fundamentals and Applications

87% of respondents would recommend this to a friend

ერთეულის #: 27686749

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What Stands Out

In-Depth Knowledge
Offers comprehensive coverage of digital signal processing techniques, enhancing understanding for both students and professionals in various applications, from communications to audio processing.
Updated Content
Includes the latest advancements and methodologies in DSP, ensuring readers are equipped with current knowledge and tools for modern challenges in technology and engineering.
Practical Applications
Focuses on real-world applications and case studies that demonstrate how DSP principles are applied, helping learners connect theory with practice effectively.

Პროდუქტის აღწერილობა

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  • Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice. Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts. As such, this title is also useful to undergraduates in electrical engineering, and as a reference for science students and practicing engineers.The book goes beyond DSP theory, to show implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, u-law, ADPCM, and multi-rate DSP and over-sampling ADC. New to this edition:MATLAB projects dealing with practical applications added throughout the bookNew chapter (chapter 13) covering sub-band coding and wavelet transforms, methods that have become popular in the DSP fieldNew applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signalsAll real-time C programs revised for the TMS320C6713 DSKCovers DSP principles with emphasis on communications and control applicationsChapter objectives, worked examples, and end-of-chapter exercises aid the reader in grasping key concepts and solving related problemsWebsite with MATLAB programs for simulation and C programs for real-time DSP
Publisher Academic Press
Publication date February 22, 2013
Edition 2nd
Language English
Print length 896 pages
ISBN-10 9780124158931
ISBN-13 978-0124158931
Item Weight 4.26 pounds (1.93 kg)
Dimensions 8 x 2 x 10 inches (20.3 x 5.1 x 25.4 cm)

Who Should Buy?

Suitable For
  • Students in Engineering

    Undergraduates and graduates studying electrical engineering or computer science will find this text particularly beneficial for foundational knowledge.

  • Audio Technology Professionals

    Sound engineers and audio technology specialists will gain insight into DSP applications for improving audio processing techniques.

  • Research Scholars

    Researchers focusing on signal processing will find comprehensive theories and applications valuable for advancing their work.

Not Suitable For
  • Casual Readers

    Individuals without a technical background may find the content too complex or dense to fully understand.

  • Non-Technical Users

    Users seeking basic introductory materials on DSP may not find this detailed text suitable for their needs.

  • Beginners in DSP

    Complete novices may struggle to grasp advanced concepts without prior knowledge in digital signal processing fundamentals.

პროდუქტის აღწერილობა

გაქვთ რაიმე შეკითხვა? მოგვმართეთ ჩათში

მომხმარებელთა შეკითხვები და პასუხები

  • კითხვა: What topics are covered in Digital Signal Processing: Fundamentals and Applications 2nd Edition?

    პასუხი: This edition comprehensively covers essential topics including discrete-time signals, systems, Z-transforms, Fourier analysis, filter design, and real-world applications. Each chapter delves into theory while blending practical examples, enabling readers to connect abstract concepts with tangible scenarios. For instance, students and professionals can utilize this knowledge to enhance audio processing techniques and image filtering methodologies, supporting innovations in fields such as telecommunications and multimedia.
  • კითხვა: Who is the target audience for this book?

    პასუხი: The book is tailored for undergraduate and graduate students in engineering, computer science, and related fields. Additionally, it serves professionals seeking to deepen their understanding of signal processing principles. The depth and breadth of information cater to those new to the field as well as seasoned practitioners looking to refresh their knowledge or stay current with the latest techniques and applications.
  • კითხვა: Does this edition include exercises or problem sets?

    პასუხი: Yes, Digital Signal Processing: Fundamentals and Applications 2nd Edition features numerous exercises and problem sets at the end of each chapter. These problems are designed to reinforce the concepts presented in the text, providing practical applications and critical thinking opportunities. This makes it an excellent resource for self-study, classroom learning, or group discussions, encouraging students to apply theoretical knowledge through real-world problems.
  • კითხვა: What makes the 2nd Edition different from the 1st Edition?

    პასუხი: The 2nd Edition has been significantly updated with new examples, additional applications, and revisions based on feedback from readers and instructors. Enhanced clarity and new chapters on modern advancements in digital signal processing further improve its utility. For those who have experience with the first edition, this updated version presents a more robust and relevant tool for current technologies in audio, video, and communications fields.
  • კითხვა: Is this book suitable for self-learners in digital signal processing?

    პასუხი: Absolutely! The structured approach and clarity in explanations make this book ideal for self-learners. Each chapter logically unfolds the fundamental principles, supported by illustrative examples. Self-learners can follow along by working on the exercises provided, allowing them to track their progress and understanding. This book not only builds a strong foundation but also offers insight into practical applications that these learners can implement in projects or research.
  • კითხვა: How can Digital Signal Processing be applied in real-world scenarios?

    პასუხი: Digital Signal Processing is pivotal in various real-world applications, including audio and image processing, telecommunication systems, and medical diagnostics. For instance, engineers often use DSP techniques in noise reduction algorithms for audio devices or in compression algorithms used in image processing. Understanding these applications empowers students and professionals to innovate and enhance technologies across numerous industries.
  • კითხვა: Are there any supplementary materials available with this book?

    პასუხი: Yes, this edition comes with supplementary materials such as MATLAB exercises and simulation tools designed to enrich the learning experience. These resources allow readers to apply theoretical concepts practically, leveraging computational tools to analyze signals and systems. This hands-on approach enhances understanding and prepares readers to implement DSP techniques in real-world engineering projects.
  • კითხვა: What prerequisite knowledge is needed before studying from this book?

    პასუხი: A basic understanding of calculus and linear algebra is recommended before diving into this book. Familiarity with concepts in signals and systems will also be beneficial. This foundation helps readers grasp the sophisticated mathematical tools employed in DSP such as Fourier transforms and filtering techniques. Preparing adequately ensures that readers can fully engage with the technical content and applications explored throughout the chapters.
  • კითხვა: Can I find this book in different formats like eBook or hardcover?

    პასუხი: Yes, Digital Signal Processing: Fundamentals and Applications 2nd Edition is available in various formats including hardcover and eBook. This flexibility allows readers to choose their preferred mode of learning, whether they enjoy the tactile experience of a printed copy or the convenience of accessing it digitally. Different formats cater to the diverse preferences of students and professionals, ensuring wider accessibility.
  • კითხვა: Where can I buy Digital Signal Processing: Fundamentals and Applications 2nd Edition in Georgia?

    პასუხი: You can buy Digital Signal Processing: Fundamentals and Applications 2nd Edition on Ubuy. They offer a diverse selection of books, including this title, with competitive pricing and a user-friendly purchasing experience. Ubuy ensures that you can conveniently find and purchase the latest editions and formats available.

DSPs Editorial Review

Digital Signal Processing: Fundamentals and Applications 2nd Edition offers excellent discussion on applications and goes in-depth into biomedical devices and stereo systems. However, the examples of problems are lacking and can be confusing. The material presentation is also sparse.

Customer Reviews & Ratings

4.7
23 მომხმარებლის შეფასება
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Დადებითი

  • Excellent discussion on applications
  • In-depth coverage of biomedical devices and stereo systems
  • Informative and easy to read
  • Provides good examples
  • Comprehensive and practical technical details and applications

მინუსები

  • Examples of problems are lacking

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  • Minimized use of mathematics for easy understanding
  • Covers implementation of algorithms in hardware and software
  • Topics include adaptive filtering, speech compression, digital filter realizations, multimedia applications, etc.
  • New chapter on sub-band coding and wavelet transforms
  • Includes MATLAB programs for simulation and C programs for real-time DSP

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