Introduction to Wavelets

: This half-day course on wavelets is intended to be a general introduction to this exciting new topic in signal processing. Wavelets have been proven effective for a number of signal processing tasks, including compression and edge and transient detection. The computational complexity of a wavelet decomposition is O(N), versus O(N log N) for the FFT, making it very competitive. In addition, it has several specific advantages over the FFT in many applications. Two of these applications will be discussed in this course: transient detection and image compression. Wavelets have been applied for a wide variety of tasks, and MITRE has been involved in wavelet research for a number of years, leading to over thirty publications. This course was developed in conjunction with W090 and W096 staff (who ran a successful 3-day wavelet course in Washington), and taught in Bedford by P. Topiwala. This introductory course will be followed by a second course covering the wavelet research and applications currently being developed at MITRE....Wavelets, Signal processing, Image compression, Transient detection