DIGITAL FIR FILTER DESIGN USING DSP PROCESSOR

Saurabh Prasad (u. a.)

ISBN 10: 6209050697 / ISBN 13: 9786209050695

Published by LAP LAMBERT Academic Publishing, 2025

About this Item

DIGITAL FIR FILTER DESIGN USING DSP PROCESSOR | Saurabh Prasad (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209050695 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 134204691

Bibliographic Details

• Title: DIGITAL FIR FILTER DESIGN USING DSP PROCESSOR
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6209050697
• ISBN 13: 9786209050695
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 131 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book is your essential guide to designing and implementing digital filters using the Texas Instruments TMS320C6713 DSP platform. This work explores a reliable solution where filters can be reconfigured with a simple program change, not a hardware overhaul.Through a combination of theoretical foundations and practical implementation, you will learn to design, test, and deploy algorithms directly on the DSK board. The book covers concepts of Adaptive Signal Processing and demonstrates the design of various Digital Filters like LPF, HPF, BPF, and BSF. Coding is done within the Code Composer Studio IDE, and the practical effect of filtering can be observed by connecting an audio input and a speaker to the DSK board.This book places a special emphasis on optimum digital filter design and Adaptive Filters, showcasing their use in real-world applications such as Active Noise Cancellation, System Identification, and Inverse System Modeling. Whether you are a student, researcher, or professional in electrical engineering, electronics, or computer science, this book provides a hands-on blueprint to unlock the full potential of digital signal processing.