Res.6-008 Digital Signal Processing
Res.6-008 Digital Signal Processing (MIT OCW). This consists of 22 video lectures (20 lectures plus 2 demonstration videos) given by Prof. Alan V. Oppenheim, discussing the analysis and representation of discrete-time signal systems, digital filters, and computation of the discrete Fourier transform. Digital Signal Processing begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasis is placed on the similarities and distinctions between discrete-time. The course proceeds to cover digital network and nonrecursive (finite impulse response) digital filters. Digital Signal Processing concludes with digital filter design and a discussion of the fast Fourier transform algorithm for computation of the discrete Fourier transform. (from ocw.mit.edu)
| Lecture 10 - Circular Convolution |
Circular convolution of finite length sequences, interpretation of circular convolution as linear convolution followed by aliasing, implementing linear convolution by means of circular convolution.
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