{"id":null,"code":"521325S","name":{"valueFi":"Tietoliikennesignaalinkäsittely","valueEn":"Communications Signal Processing","valueSv":""},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[],"createdAt":1790534868565,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"Upon completion the student  \r\n1. knows the functional structure of communications transceiver and understands the requirements for various wireless systems for the transceiver.  \r\n2. knows the architectural and functional design of (all-)digital transceiver with synchronization, channel estimation, encoding/decoding, multiantenna processing and connection establishment.  \r\n3. understands the requirements of the current wireless communications standards and related multiplexing and multiple access on transceiver design.  \r\n4. can use statistical signal processing tools to derive digital domain algorithms for separate functionalities and match them to operate together via agreed interfaces.  \r\n5. can model the operation of the algorithms and the whole transceiver using Matlab to assess their performance by computer simulations.\r\n\r\nAlso, during the course, the student will solve timely design problems in projects developing the problem-solving skills. The results will be presented both in written and orally developing the presentation and documentation skills. The course participants are usually from multiple countries with multicultural audience or co-students.","valueEn":"Upon completion the student  \r\n1. knows the functional structure of communications transceiver and understands the requirements for various wireless systems for the transceiver.  \r\n2. knows the architectural and functional design of (all-)digital transceiver with synchronization, channel estimation, encoding/decoding, multiantenna processing and connection establishment.  \r\n3. understands the requirements of the current wireless communications standards and related multiplexing and multiple access on transceiver design.  \r\n4. can use statistical signal processing tools to derive digital domain algorithms for separate functionalities and match them to operate together via agreed interfaces.  \r\n5. can model the operation of the algorithms and the whole transceiver using Matlab to assess their performance by computer simulations.\r\n\r\nAlso, during the course, the student will solve timely design problems in projects developing the problem-solving skills. The results will be presented both in written and orally developing the presentation and documentation skills. The course participants are usually from multiple countries with multicultural audience or co-students.","valueSv":""}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"Wireless transceiver functional split, digital parts and architecture, transceiver digital front-end architecture and design, synchronization and channel estimation, equalization and soft detection.","valueEn":"Wireless transceiver functional split, digital parts and architecture, transceiver digital front-end architecture and design, synchronization and channel estimation, equalization and soft detection.","valueSv":""}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study Methods","valueSv":""},"content":{"valueFi":"Completing the design and simulation projects, giving a seminar presentation on those, and a final exam. In the final grade of the course, the weight for the examination is 0.4, that of project report 0.4, and and that of the seminar presentation and material 0.2.  \r\nRead more about assessment criteria at the University of Oulu webpage.","valueEn":"Completing the design and simulation projects, giving a seminar presentation on those, and a final exam. In the final grade of the course, the weight for the examination is 0.4, that of project report 0.4, and and that of the seminar presentation and material 0.2.  \r\nRead more about assessment criteria at the University of Oulu webpage.","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Teaching Methods","valueSv":""},"content":{"valueFi":"Face-to-face teaching and e-learning tool usage possibly complemented with online teaching.  \r\nFace-to-face teaching (lectures, exercises, and seminar presentations) 30 h, Simulation and design exercises and presentation preparation in groups 80 h, independent work & passed assignment 20 h.","valueEn":"Face-to-face teaching and e-learning tool usage possibly complemented with online teaching.  \r\nFace-to-face teaching (lectures, exercises, and seminar presentations) 30 h, Simulation and design exercises and presentation preparation in groups 80 h, independent work & passed assignment 20 h.","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"<p>Parts from books: 1. P. Prandoni &amp; M. Vetterli, &ldquo;Signal Processing for Communications&rdquo;, CRC Press 2008. 2. H. Meyr, M. Moeneclaey &amp; S. A. Fechtel, &ldquo;Digital Communication Receivers: Synchronization, Channel, Estimation and Signal Processing&rdquo;. John Wiley, 1998. 3. F. Ling, &ldquo;Synchronization in Digital Communication Systems&rdquo;, Cambridge University Press, 2017. 4. Steven M. Kay, &quot;Fundamentals of statistical signal processing: Detection theory,&rdquo; vol. 2. Prentice Hall 1998.</p>","valueEn":"<p>Parts from books: 1. P. Prandoni &amp; M. Vetterli, &ldquo;Signal Processing for Communications&rdquo;, CRC Press 2008. 2. H. Meyr, M. Moeneclaey &amp; S. A. Fechtel, &ldquo;Digital Communication Receivers: Synchronization, Channel, Estimation and Signal Processing&rdquo;. John Wiley, 1998. 3. F. Ling, &ldquo;Synchronization in Digital Communication Systems&rdquo;, Cambridge University Press, 2017. 4. Steven M. Kay, &quot;Fundamentals of statistical signal processing: Detection theory,&rdquo; vol. 2. Prentice Hall 1998.</p>","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"Ajoitus  \r\nThe course is held bi-annually in the spring semester, during period 4. It is recommended to complete the course at the 1st or 2nd spring semester of the master studies.  \r\n  \r\nKohderyhmä  \r\nElectrical, communications and computer science and engineering students.  \r\n  \r\nLisätiedot  \r\nCourse will be given every second year in odd years. Will be held during academic year 2022-23.","valueEn":"Timing  \r\nThe course is held bi-annually in the spring semester, during period 4. It is recommended to complete the course at the 1st or 2nd spring semester of the master studies.  \r\n  \r\nTarget group  \r\nElectrical, communications and computer science and engineering students.  \r\n  \r\nOther information  \r\nCourse will be given every second year in odd years. Will be held during academic year 2022-23.","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"Esitietovaatimukset  \r\nThe required prerequisite is the completion of the following courses prior to enrolling for the course: 521348S Statistical signal processing I, 521324S Statistical Signal Processing II, 521323S Wireless communications I, 521317S Wireless communications II.","valueEn":"Prerequisites and co-requisites  \r\nThe required prerequisite is the completion of the following courses prior to enrolling for the course: 521348S Statistical signal processing I, 521324S Statistical Signal Processing II, 521323S Wireless communications I, 521317S Wireless communications II.","valueSv":""}},{"title":{"valueFi":"Arviointiasteikko","valueEn":"Assessment scale","valueSv":""},"content":{"valueFi":"1-5/HYL","valueEn":"1-5/FAIL","valueSv":"1-5/FAIL"}},{"title":{"valueFi":"Arviointikriteerit","valueEn":"Assessment criteria","valueSv":""},"content":{"valueFi":"The course utilizes a numerical grading scale 1-5. In the numerical scale zero (0) stands for a fail.","valueEn":"The course utilizes a numerical grading scale 1-5. In the numerical scale zero (0) stands for a fail.","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 2","valueEn":"Evaluation criteria 2","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 3","valueEn":"Evaluation criteria 3","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 4","valueEn":"Evaluation criteria 4","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Pääasiallinen opetuskieli","valueEn":"Primary Teaching Language","valueSv":""},"content":{"valueFi":"englanti","valueEn":"English","valueSv":"engelska"}},{"title":{"valueFi":"Taso","valueEn":"Level","valueSv":""},"content":{"valueFi":"Syventävät opinnot","valueEn":"Advanced Studies","valueSv":"Syventävät opinnot"}},{"title":{"valueFi":"Oppiaine","valueEn":"Subject","valueSv":""},"content":{"valueFi":"Tietoliikennetekniikka","valueEn":"Communications Engineering","valueSv":""}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Markku Juntti","valueEn":"Markku Juntti","valueSv":"Markku Juntti"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}