Logo

The Fundamentals of Signal Analysis

Small book cover: The Fundamentals of Signal Analysis

The Fundamentals of Signal Analysis

Publisher: Agilent Technologies
Number of pages: 68

Description:
This book is a primer for those who are unfamiliar with the advantages of analysis in the frequency and modal domains and with the class of analyzers we call Dynamic Signal Analyzers. The authors avoid the use of rigorous mathematics and instead depend on heuristic arguments.

Download or read it online for free here:
Download link
(3.4MB, PDF)

Similar books

Book cover: Signal Computing: Digital Signals in the Software DomainSignal Computing: Digital Signals in the Software Domain
by - University of Washington Bothell
The specific topics we will cover include: physical properties of the source information, devices for information capture, digitization, compression, digital signal representation, digital signal processing and network communication.
(6605 views)
Book cover: Signal Processing for CommunicationsSignal Processing for Communications
by - EFPL Press
The book is less focused on the mathematics and more on the concepts, allowing students to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics and helping students solve real-world problems.
(10803 views)
Book cover: Mathematics of the Discrete Fourier Transform (DFT): with Audio ApplicationsMathematics of the Discrete Fourier Transform (DFT): with Audio Applications
by - W3K Publishing
Detailed mathematical derivation of DFT (Discrete Fourier Transform), with elementary applications to audio signal processing. Matlab programming examples are included. High-school math background is a prerequisite, including some calculus.
(22327 views)
Book cover: The Theory of Linear PredictionThe Theory of Linear Prediction
by - Morgan and Claypool Publishers
Linear prediction theory has had a profound impact in the field of digital signal processing. This book focuses on the theory of vector linear prediction and line spectral processes. There are several examples and computer-based demonstrations.
(15480 views)