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Lecture 29: Applications in signal and image processing: compression

Lecture 29: Applications in signal and image processing: compression

This video was recorded at MIT 18.085 Computational Science and Engineering I - Fall 2007. This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications. Note: This course was previously called "Mathematical Methods for Engineers I". Course Homepage 18.085 Computational Science and Engineering I Fall 2007 Course features at MIT OpenCourseWare page: Syllabus Assignments Exams Study Materials Related Resources Download Course Materials
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