Fourier Series
Published on 21. November 1994
Book
Paperback/Softback
176 pages
978-0-582-23934-0 (ISBN)
Description
This book examines the principles of Fourier Series and gives a brief introduction to the Fourier transform. These principles are then applied to the study of electrical circuits and waveforms. A familiarity with basic calculating is assumed.
More details
Series
Language
English
Place of publication
Harlow
United Kingdom
Publishing group
Pearson Education Limited
Target group
College/higher education
Dimensions
Height: 245 mm
Width: 191 mm
Thickness: 10 mm
Weight
350 gr
ISBN-13
978-0-582-23934-0 (9780582239340)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
1. Periodic waveforms: discussion of waveforms, harmonics and the addition of waveforms graphically.
2. The Fourier series: introduction to the series, coefficients, functions of period 2. 3. Symmetry: determination of coefficients as a result of inspection for symmetry.
4. Half-range series: functions defined over half a period, half range sine and cosine series.
5. Exponential form: the exponential form of the Fourier series.
6. Electric circuits: Application of complex waveforms to RLC circuits, power.
7. Numerical harmonic analysis: trapezoidal rule, twelve-point analysis.
8. The Fourier transform: basic introduction, Fourier integral, Fourier transform, inverse transform.
2. The Fourier series: introduction to the series, coefficients, functions of period 2. 3. Symmetry: determination of coefficients as a result of inspection for symmetry.
4. Half-range series: functions defined over half a period, half range sine and cosine series.
5. Exponential form: the exponential form of the Fourier series.
6. Electric circuits: Application of complex waveforms to RLC circuits, power.
7. Numerical harmonic analysis: trapezoidal rule, twelve-point analysis.
8. The Fourier transform: basic introduction, Fourier integral, Fourier transform, inverse transform.