null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Understanding Digital Signal Processing with MATLAB® and Solutions

List Price: $84.99
SKU:
9780367779122
Quantity:
Minimum Purchase
25 unit(s)
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    Alexander D. Poularikas
    Format:
    Paperback
    Pages:
    472
    Publisher:
    CRC Press (March 31, 2021)
    Language:
    English
    ISBN-13:
    9780367779122
    Weight:
    40.375oz
    Dimensions:
    7" x 10"
    File:
    TAYLORFRANCIS-TayFran_260825145959080-20260825.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $84.99
    Country of Origin:
    United States
    Case Pack:
    12
    As low as:
    $80.74
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Pub Discount:
    30
    Imprint:
    CRC Press
  • Overview

    The book discusses signals that most electrical engineers detect and study. The vast majority of signals could never be detected due to random additive signals, known as noise, that distorts them or completely overshadows them. The text presents the methods for extracting the desired signals from the noise. It includes examples that use MATLAB.<