• Title: Engineering Signal Analysis: From Fourier to Filtering
• Author(s) Christian Tiberius, Max Mulder
• Publisher: IntechOpen; eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Hardcover: 307 pages
• eBook: PDF and PDF Files
• Language: English
• ISBN-10: N/A
• ISBN-13: 978-953-51-0871-9
• Share This:  

Book Description

This is an introductory textbook on the analysis of signals in time and frequency. It takes an engineer’s perspective and discusses how to characterize, analyze and operate on signals. The basic theoretical concepts, Fourier series and transform, are explained in continuous time.

• N/A

• Amazon

• Digital Signal Processing (DSP), Sound and Imaging Processing
• Fourier and Wavelet Transforms
• Discrete Mathematics
• Electronic and Computer Engineering

• Engineering Signal Analysis: From Fourier to Filtering (Christian Tiberius, et al)
• Exercises - PDF
• Introduction to Digital Signal Processing and Filter Design (B. A. Shenoi)

• Digital Filters and Signal Processing (Fausto Maarquez, et al)

  Presents advanced developments in digital filters and signal process methods covering different cases studies with the main essence of the subject, with the principal approaches to the most recent mathematical models that are being employed widely.

• Kalman and Bayesian Filters in Python (Roger R Labbe Jr.)

  This book is an introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser. What better way to learn?

• Digital Filter Design (Zoran Milivojevic)

  Provide you with different theorethical and practical approaches to digital filter design. It covers design of both finite and infinite impulse response filters. In addition, it applies the most popular and most commonly used design methodes giving the best solutions.

• Notes on the Design of Optimal FIR Filters (John Treichler)

  This note primarily addresses how to estimate impulse response lengths short of actually designing the filter itself and indirectly discusses a bit the first. It examines how to convert a typical filter specification in terms of cutoff frequency, passband ripple, etc.

• Introduction to Digital Filters: with Audio Applications (J. Smith III)

  A digital filter can be pictured as a "black box" that accepts a sequence of numbers and emits a new sequence of numbers. This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points.

• From Fourier Analysis to Wavelets (Jonas Gomes, et al.)

  This text introduces the basic concepts of function spaces and operators, both from the continuous and discrete viewpoints. Emphasis is given on ideas and intuition, avoiding the heavy computations which are usually involved in the study of wavelets.

• Fast Fourier Transforms (C. Sidney Burrus, et al)

  This book focuses on the Discrete Fourier Transform (DFT), discrete convolution, and, particularly, the fast algorithms to calculate them. Topics on digital signal processing since its beginning, and new results in hardware, theory and applications, etc.

• Lectures on the Fourier Transform and Its Applications

  The goal is to help engineering and science students cultivate more advanced mathematical know-how and increase confidence in learning and using mathematics, as well as appreciate the coherence of the subject.

• The Scientist and Engineer's Guide to Digital Signal Processing

  Written by a working scientist/engineer who has used DSP in his inventions and designs, this book will help design engineers on the job trying to master a tough subject that is now regarded as an essential engineering skill and put it to use.

• An Introduction to Digital Signal Processing: Implementation

  This book aims at undergraduate students who have basic knowledge in C programming, Circuit Theory, Systems and Simulations, and Spectral Analysis, focuses on basic concepts of digital signal processing, MATLAB simulation and implementation.