Catalogue Description:MATH 414. Fourier Series & Wavelets. Fourier series and wavelets with applications to data compression and signal processing. Prerequisite: MATH 323 or MATH 304 or MATH 311
Required Text: A First Course in Wavelets and Fourier Analysis, 2nd Edition, by Boggess & Narcowich
Time & Place: MWF 10:20-11:10 pm, BLOC 117
Programming language: Experience with MATLAB would be very helpful.
Grading System & Tests: Your grade will be based on a project, homework, and three in-class tests ( February 17, March 23 and April 27 ).The project will count for 20% of your grade, homework for 20%, and each in-class test for 20%. Your letter grade will be assigned this way: 90-100%, A; 80-89%, B; 70-79%, C; 60-69%, D; 59% or less, F.
Make-up Policy: I will give make-ups (or satisfactory equivalents) only in cases authorized under TAMU Regulations. In borderline cases, I will decide whether or not the excuse is authorized. Also, if you miss a test, contact me as soon as possible.
Homework and Projects: You may consult with each other on homework problem sets, BUT only submit work which is in your own words AND be sure to cite any sources of help (either texts or people). Be aware that usually only some of the problems from an assignment will be graded. Late homework will not be accepted. Information concerning projects may be found on at this webpage: Project Information.
Americans with Disabilities Act Policy Statement: "The Americans with Disabilities Act (ADA) is a federal anti-discrimination statute that provides comprehensive civil rights protection for persons with disabilities. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodation of their disabilities. If you believe you have a disability requiring an accommodation, please contact Disability Services, currently located in the Disability Services building at the Student Services at White Creek complex on west campus or call 979-845-1637. For additional information, visit the Department of Disability Services.
||1.1.3, 1.2.1-1.2.3||Fourier series (FS): motivation, calculation, examples|
||1.2.3-1.2.5||Fourier cosine/sine series (FCS/FSS), complex form of FS, examples|
||1.3.1-1.3.3.||Riemann-Lebesgue lemma, Fourier kernel, proof of pointwise convergence of a FS, examples|
||1.3.4-1.3.5 0.5,2.1.||Convergence in the mean, orthogonality, inner products, Parseval's equation, Fourier transforms|
||Test 1 (2/17/16), 2.1||Review, catch up, Test 1 (covers Chapter 1), Fourier transform (FT)|
||2.1-2.2, 2.4||Fourier transform (FT), properties of the FT, examples, sampling theorem|
||3.1.1-3.1.4, 3.2.1||Discrete Fourier transform (DFT), fast Fourier transform (FFT), applications, discrete signals & filters|
|3/14 - 3/18/16||N/A||Spring Break|
||Test 2 (3/23/16)||Review, catch up, Test 2 (covers Chapter 2, 3.1.1-3.1.4, 3.2.1)|
|3/25/16||N/A||Good Friday/Reading day|
|4.1, 4.2, 4.3||Haar wavelets, decomposition and reconstruction algorithms, filter representation|
||5.1||Multiresolution analysis (MRA), examples, scaling relation & scaling function, wavelet & wavelet spaces|
||5.2, 5.3.3, 5.3.4, 6.1||Decomposition and reconstruction algorithms, connection with FT, and existence criteria for wavelets, Daubechies wavelets|
||6.2-6.3||Daubechies wavelets: classification & implementation|
||Test 3 (4/27/16)||Review, catch up, Test 3 (covers Chapter 4, 5.1, 5.2, 5.3.3-5.3.4, 6.1-6.3)|
||6.2, 6.3||Singularity detection & signal extensions, finish up|
|Monday, 5/9/16||N/A||Projects due at noon|