PřF:M7120 Spectral Analysis I - Course Information
M7120 Spectral Analysis I
Faculty of ScienceAutumn 2004
- Extent and Intensity
- 2/0/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
- Teacher(s)
- doc. RNDr. Martin Kolář, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Contact Person: doc. RNDr. Martin Kolář, Ph.D. - Timetable
- Thu 12:00–13:50 UP1
- Prerequisites
- M4170 Measure and Integral && M6150 Linear Functional Analysis I
Calculus of complex numbers, Differential calculus and Lebesgue integral, Linear functional analysis - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Mathematical Analysis (programme PřF, N-MA)
- Mathematical Modelling and Numeric Methods (programme PřF, N-MA)
- Mathematics - Economics (programme PřF, N-AM)
- Mathematics (programme PřF, M-MA)
- Mathematics (programme PřF, N-MA)
- Statistics and Data Analysis (programme PřF, N-AM)
- Course objectives
- The course is an introduction to the Fourier spectral analysis of both periodic and nonperiodic functions. The exposition starts with the more transparent case of univariate functions being generalized to the multivariate case at the final stage. Numerous application examples are given throughout. The periodic case: Fourier series and the sequence of Fourier coefficients as a spectral representation of periodic functions. Fourier series are considered to be a special case of an orthogonal expansion and its equivalent forms are given. Various convergence concepts are introduced and relation to integral operators of periodic convolution and correlation is established. The view of Parseval identity as a power spectral density. Nonperiodic case: integral (continuous) Fourier transform (IFT) and its inverse being explained as a nonperiodic analogy to the spectrum of Fourier coefficients and the backward Fourier series expansion. Fundamental properties of IFT, relation to nonperiodic integral convolution and correlation operators.
- Syllabus
- Fourier series (FS): 3 equivalent forms of FS (complex, trigonometric and amplitude-phase form), Dirichlet kernel and pointwise convergence, Fejér kernel and convergence in mean, convergence in spaces $L^1$ and $L^2$, statements on cyclic convolution and correlation, Parseval identities.
- Fourier transform (FT): existence and inversion (theorems by Fourier and Plancherel), properties, statements on convolution and correlation, Parseval identities, examples.
- Multivariate Fourier series and transforms.
- Literature
- HOWELL, Kenneth B. Principles of Fourier Analysis. Boca Raton-London-New York-Washington: Chapman & Hall, 2001, 776 pp. Studies in Advanced Mathematics. ISBN 0-8493-8275-0. info
- BRACEWELL, Ronald N. Fourier transform and its applications. 2nd ed. New York: McGraw-Hill, 1986, xx, 474. ISBN 0070070156. info
- BRIGHAM, E. Oran. Fast Fourier transform. Englewood Cliffs: Prentice Hall, 1974, 252 s. ISBN 0-13-307496-X. info
- KUFNER, Alois and Jan KADLEC. Fourierovy řady (Fourier series). Praha: Academia, 1969. info
- LASSER, Rupert. Introduction to Fourier series. New York: Marcel Dekker, 1996, vii, 285. ISBN 0824796101. info
- HARDY, G. H. and Werner ROGOSINSKI. Fourierovy řady. Translated by Alois Kufner. Vyd. 1. Praha: SNTL - Nakladatelství technické literatury, 1971, 155 s. URL info
- Assessment methods (in Czech)
- Výuka: přednáška, Zkouška: ústní s písemnou přípravou
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
The course is taught annually. - Listed among pre-requisites of other courses
- Teacher's information
- http://www.math.muni.cz/~vesely/educ_cz.html#fa1
- Enrolment Statistics (Autumn 2004, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2004/M7120