| Lerninhalte |
<p><strong>Contents of Module "Signal Processing 1"<br /><br /></strong>Basics:<br />- System Theory, Fourier Transforms (FT, FS, DTFT, DFT) and Laplace transform<br />- Sampling, Discrete System Theory, z-Transform<br />- Convolution, Digital Filters<br />- Stochastic Processes<br /><br />Advanced Topics:<br />- System Identification<br />- Spectral Estimation<br /><span dir="ltr" style="left: 14.32%; top: 42.99%; font-size: calc(var(--scale-factor)*9.96px); font-family: sans-serif; transform: scaleX(0.722841);">- </span><span dir="ltr" style="left: 18.17%; top: 42.99%; font-size: calc(var(--scale-factor)*9.96px); font-family: sans-serif; transform: scaleX(0.83351);">Extrapolation, Interpolation & Smoothing</span><br />- Image Processing<br />- Compressed Sensing</p><p><strong>Literature</strong></p><div class="gs_citr" tabindex="0">Vetterli, Martin, Jelena Kovačević, and Vivek K. Goyal. <em>Foundations of signal processing</em>. Cambridge University Press, 2014.</div><p> </p> |
