Description

Book Synopsis

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. 

This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting school program for professionals with students from electrical engineering, physics, computer and data science, and mathematics backgrounds.  It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays.  Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series prediction and image

Advanced Signal Processing A Concise Guide

    Product form

    £67.49

    Includes FREE delivery

    RRP £74.99 – you save £7.50 (10%)

    Order before 4pm today for delivery by Wed 17 Jun 2026.

    A Paperback / softback by Amir-Homayoon Najmi, Todd Moon

    2 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Advanced Signal Processing A Concise Guide by Amir-Homayoon Najmi

      Publisher: McGraw-Hill Education
      Publication Date: 29/09/2020
      ISBN13: 9781260458930, 978-1260458930
      ISBN10: 1260458938
      Also in:
      Computing Computer science Technology, Engineering & Agriculture Electrical engineering

      Description

      Book Synopsis

      Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

      A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. 

      This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting school program for professionals with students from electrical engineering, physics, computer and data science, and mathematics backgrounds.  It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays.  Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series prediction and image

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account