Suchergebnisse

Introduction : digital storytelling, mobility and media citizenship -- Conceptualising digital storytelling as practice and method -- Designing the research -- Narrating transnationality by chinese young people in australia -- Reskilling through self-representation : empowering chinese international students through digital storytelling -- The first trial of the digital storytelling workshop for young migrants in China -- Autobiographical storytelling as counter-narrative to the myth of "the South" -- Is it worth it? : youth mobility and the consumption of international higher education by the Chinese middle class.

CMMB (China Multimedia Mobile Broadingcasting) is a wireless broadcastingchannel standard for low bandwidth, low cost hand-held digital TV is adopted byall continental Chinese government TV broadcasting companies and some HongKong private TV broadcasting companies. The business potential is high, yet thefuture is hard to predict because it might be replaced by GB200600 or DTMB. Thedigital modulation is based on OFDM with pilot supporting channel estimationand equalization and CP supporting multi-path induced ISI problems.This thesis investigates the implement a CMMB system using a SDR platform.Simulation chain was implemented using MATLAB with full data precision includingCMMB transmitter and receiver. The transmitter behavior model includes RSencoder, LDPC encoder, OFDM modulation, etc. The receiver behavior modelincludes OFDM demodulation, channel estimation, channel equalization, LDPCdecoder, RS decoder, etc. Different channel models emulating pathloss, whitenoise, multi-path, and glitch were modeled. Based on the simulation chain andchannel models, T-domain, F-domain channel estimator and equalizer were implemented,optimized. Optimized TD-FD models for different mobility scenarioswere proposed. The focus of the thesis is on 2D (FD-TD) channel estimation andequalization.

The analysis of the positioning of 52 leading Russian universities in three world rankings (QS, THE, ARWU) was carried out over a seven-year time interval. It is shown that from the analysis of materials and the roughest predictions based on linear extrapolation of data, it can be concluded that none of the 52 leading Russian universities can enter the TOP-100 of the considered ratings. It was concluded that at the very beginning of the launch of the 5-100 project an unreasonable assumption was made that five leading Russian universities could be included in the TOP-100 of one or several of the three world rankings. It is shown that for successful implementation of the project it would be necessary to carry out imitating modeling previously.