6.011 Introduction to Communication, Control, and Signal Processing, Spring 2004 - Spring 2005
This course is taken mainly by undergraduates, and explores ideas involving signals, systems and probabilistic models in the context of communication, control and signal processing applications. The material expands out from the basics in 6.003 and 6.041. The treatment involves aspects of analysis,...
| Main Authors: | , |
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| Format: | Learning Object |
| Language: | en-US |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/1721.1/118908 |
| _version_ | 1826201700758716416 |
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| author | Verghese, George Oppenheim, Alan V. |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Verghese, George Oppenheim, Alan V. |
| author_sort | Verghese, George |
| collection | MIT |
| description | This course is taken mainly by undergraduates, and explores ideas involving signals, systems and probabilistic models in the context of communication, control and signal processing applications. The material expands out from the basics in 6.003 and 6.041. The treatment involves aspects of analysis, synthesis, and optimization. Topics covered differ somewhat from semester to semester, but typically include: random processes, correlations, spectral densities, state-space modeling, multirate processing, signal estimation and detection. |
| first_indexed | 2024-09-23T11:55:23Z |
| format | Learning Object |
| id | mit-1721.1/118908 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2025-03-10T10:14:18Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | mit-1721.1/1189082025-02-25T16:58:18Z 6.011 Introduction to Communication, Control, and Signal Processing, Spring 2004 - Spring 2005 Introduction to Communication, Control, and Signal Processing Verghese, George Oppenheim, Alan V. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Input-output state-space models linear systems deterministic and random signals time- and transform-domain representations sampling discrete-time processing continuous-time signals state feedback observers probabilistic models stochastic processes correlation functions power spectra whitening filters Detection matched filters Least-mean square error estimation Wiener filtering 090101 Communication Studies/Speech Communication and Rhetoric This course is taken mainly by undergraduates, and explores ideas involving signals, systems and probabilistic models in the context of communication, control and signal processing applications. The material expands out from the basics in 6.003 and 6.041. The treatment involves aspects of analysis, synthesis, and optimization. Topics covered differ somewhat from semester to semester, but typically include: random processes, correlations, spectral densities, state-space modeling, multirate processing, signal estimation and detection. 2018-11-06T14:40:14Z 2018-11-06T14:40:14Z 2005-06 2018-11-06T14:40:15Z Learning Object 6.011-Spring2004-Spring2005 6.011 IMSCP-MD5-70316e05dcd430c66bc56a3aa9118f60 http://hdl.handle.net/1721.1/118908 en-US http://www.core.org.cn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-011Spring2004-Spring2005/CourseHome/index.htm This site (c) Massachusetts Institute of Technology 2018. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ text/html Spring 2004 - Spring 2005 |
| spellingShingle | Input-output state-space models linear systems deterministic and random signals time- and transform-domain representations sampling discrete-time processing continuous-time signals state feedback observers probabilistic models stochastic processes correlation functions power spectra whitening filters Detection matched filters Least-mean square error estimation Wiener filtering 090101 Communication Studies/Speech Communication and Rhetoric Verghese, George Oppenheim, Alan V. 6.011 Introduction to Communication, Control, and Signal Processing, Spring 2004 - Spring 2005 |
| title | 6.011 Introduction to Communication, Control, and Signal Processing, Spring 2004 - Spring 2005 |
| title_full | 6.011 Introduction to Communication, Control, and Signal Processing, Spring 2004 - Spring 2005 |
| title_fullStr | 6.011 Introduction to Communication, Control, and Signal Processing, Spring 2004 - Spring 2005 |
| title_full_unstemmed | 6.011 Introduction to Communication, Control, and Signal Processing, Spring 2004 - Spring 2005 |
| title_short | 6.011 Introduction to Communication, Control, and Signal Processing, Spring 2004 - Spring 2005 |
| title_sort | 6 011 introduction to communication control and signal processing spring 2004 spring 2005 |
| topic | Input-output state-space models linear systems deterministic and random signals time- and transform-domain representations sampling discrete-time processing continuous-time signals state feedback observers probabilistic models stochastic processes correlation functions power spectra whitening filters Detection matched filters Least-mean square error estimation Wiener filtering 090101 Communication Studies/Speech Communication and Rhetoric |
| url | http://hdl.handle.net/1721.1/118908 |
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