Wavelets, Filter Banks and Applications OpenCourseWare: MIT's Free Graduate Study Online Course
The Massachusetts Institute of Technology (MIT) offers an OpenCourseWare course called 'Wavelets, Filter Banks and Applications.' This free course presents a balanced amount of wavelets and filter bank theory with practical applications. The material is of primary interest to engineering, science and applied mathematics students, but the only requirement is that students are familiar with MatLab and Fourier transforms.
Wavelets, Filter Banks and Applications: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Graduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | No |
Wavelets, Filter Banks and Applications: Course Description
Wavelets are simply mathematical functions which use principles of Fourier analysis (a method of evaluating a waveform using trigonometry). While wavelet theories have been around for years, they have most recently been applied as techniques in image compression and digital signal processing. This advanced mathematics course covers filtering, perfect reconstructing, Toeplitz matrices, second-generation wavelets, orthogonal wavelets and many other wavelet concepts. Furthermore, instructors discuss design methods, simulation software and real-world science and engineering applications. The course is lecture-based with two instructors: Professor Kevin Amaratunga and Professor Gilbert Strang. It is assumed that students have access to the MatLab computer program as well as a working knowledge thereof to complete homework assignments.
This course includes slide presentations, note outlines, homework assignments and MatLab examples and routines. If you're interested in taking this free course, visit the wavelets and mathematics course page.
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