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SMPTE 2022 training course description SMPTE 2022 is the standard for IP video transport in the broadcast industry. This course covers the seven section of the standard in detail. Particular attention is given to FEC and seamless protection switching areas of the standard. What will you learn Use Wireshark to analyse. SMPTE 2022 streams. Explain the role of FEC in SMPTE 2022. Explain how SMPTE 2022 provides resilience. SMPTE 2022 training course details Who will benefit: Anyone working with TV distribution. Prerequisites: TCP/IP foundation for engineers Duration 1 day SMPTE 2022 training course contents Introduction What is SMPTE 2022, SMPTE 2022 parts. SDI over IP. Contribution and distribution versus delivery. The SMPTE 2022 protocol stack SMPTE 2022-2 (mapping of MPEG TS into IP) and SMPTE 2022-6 mapping uncompressed video into IP. IP: Best effort, connectionless, DF flag, routers, Diffserv, RSVP. IPv6. UDP: Unreliable, connectionless, broadcasts, multicasts and unicasts. RTP RTP, ports, payloads types, sequence numbers, timestamps. RTP header extensions. RTCP. MPEG2-TS: Elementary streams, transport over IP. FEC Forward Error Correction. SMPTE 2022-1, SMPTE 2022-5. Logical rows and columns. 1D and 2D parity. FEC header format. FEC configuration and choosing dimensions. FEC traffic shaping. Overheads and delays. Seamless protection switching IP failover. SMPTE 2022-7: Sending two matching streams over different paths. Stream synchronization. The HBRMT header. Calculating the packet to switch over. Summary Summary of the 7 sections of the SMPTE 2022 standard. Clock recovery.
The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).
The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).
The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).
The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).
Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.
The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).