BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Digital Signal Processing: Principles, Algorithms and Applications

Digital Signal Processing: Principles, Algorithms and Applications

Digital Signal Processing: Principles, Algorithms and Applications
Stock photo: cover may vary

Digital Signal Processing: Principles, Algorithms and Applications Other -

by Richelle Rogers; Tatiane Figueiredo

Add to wish list
  • New
New

Description

. Other. New.
Ask the seller a question Add to wish list
A$207.99
A$5.87 Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Ships from Cold Books (New York, United States)
The BIBLIO Guarantee

Details

  • Title Digital Signal Processing: Principles, Algorithms and Applications
  • Author Richelle Rogers; Tatiane Figueiredo
  • Binding Other
  • Condition New
  • Pages 414
  • Volumes 1
  • Language ENG
  • Publisher Kruger Brentt Publisher Uk. Ltd.
  • Publication date
  • Bookseller's Inventory # 6403782658
  • ISBN 9781787154018 / 1787154017
  • Weight 2.05 lbs (0.93 kg)
  • Dimensions 10 x 7 x 0.94 in (25.40 x 17.78 x 2.39 cm)
  • Category Computers - General Information
  • Quantity available 1

About Cold Books New York, United States

Biblio member since 2012

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Cold Books

Reader reviews for Digital Signal Processing: Principles, Algorithms and Applications

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

1. Fundamentals of Digital Signal Processing (DSP):

-Introduce the core principles of DSP, including discrete-time signals, systems, and their representation. Cover essential concepts like sampling, quantization, and the importance of the Nyquist theorem in signal reconstruction.

2. Transform Techniques and Algorithms:

-Explore transform methods used in DSP, such as the Fourier Transform (FT), Discrete Fourier Transform (DFT), and Fast Fourier Transform (FFT). Include the Z-transform and its role in analyzing and designing digital filters.

3. Digital Filters Design and Applications:

-Discuss the principles and methods for designing digital filters, including Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters. Highlight their practical applications in signal conditioning, noise reduction, and system analysis.

4. Applications in Real-World Systems:

-Provide examples of DSP applications in various fields such as telecommunications, audio and speech processing, image and video processing, biomedical engineering, and control systems.

5. Advanced Topics and Emerging Trends:

-Cover advanced topics like adaptive signal processing, multirate processing, wavelets, and their applications in modern technologies. Discuss the role of DSP in machine learning, IoT, and real-time embedded systems.

Please wait a moment while we load the requested page.

tracking-