المؤلفون: Çırpan, Hakan Ali, Panayırcı, Erdal

مصطلحات موضوعية: Algorithms, Approximate CRB, Blind channel estimation, Blind equalizers, Block codes, Channel capacity, Channel matrix, Channel parameters, Codes, Communication systems capacity, Computer simulation, Discrete-time finite state Markov process, Diversity methods, Encoding, Fading, Fading (radio), Fading channels, Fading wireless channels, Finite alphabet property, i.i.d. sequences, Information sequence, Interference, Iterative algorithms, Iterative Baum-Welch algorithm, Iterative methods, Iterative ML algorithm, Land mobile radio, Markov processes, Maximum likelihood estimation, Mobile communication system

وصف الملف: application/pdf

Relation: IEEE International Conference on Communications; Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; Çırpan, H. A. & Panayırcı, E. (2002). Blind channel estimation for space-time coding systems with baum-welch algorithm. Paper presented at the , 3 1579-1583 vol.3. doi:10.1109/ICC.2002.997115; https://hdl.handle.net/11729/2062; https://dx.doi.org/10.1109/ICC.2002.997115; 1579; 1583; N/A; WOS:000177818300304; 2-s2.0-0036279705

الاتاحة: https://hdl.handle.net/11729/2062
https://doi.org/10.1109/ICC.2002.997115

المؤلفون: Erdal Panayirci, Hakan Ali Cirpan

المساهمون: Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Electrical-Electronics Engineering, Panayırcı, Erdal

المصدر: ICC

مصطلحات موضوعية: Ommunication channels (information theory), Iterative methods, Computer science, Channel parameters, Fading channels, Signal encoding, Radio transmitters, Codes, Unconditional ML estimates, Channel capacity, Space time adaptive processing, Iterative Baum-Welch algorithm, Baum–Welch algorithm, Space-time coded signals, Mobile communication system, Markov processes, Space-time coding systems, Iterative algorithms, Unconditional signal model, Computer simulation, Fading (radio), Approximate CRB, i.i.d. sequences, Block codes, Simulation results, Blind channel estimation, symbols, Algorithm, Algorithms, Communication channel, Block code, Mathematical optimization, Information sequence, Iterative method, Land mobile radio, Maximum likelihood, Fading wireless channels, Space time codes, Markov process, Diversity methods, symbols.namesake, Finite alphabet property, Stochastic processes, Transmitting antennas, Communication systems capacity, Blind equalizers, Optimisation, Fading, Computer Science::Information Theory, Iterative ML algorithm, Unconditional ML optimization cost function, Space-time block coding (STBC), Channel matrix, Space-time coding, Maximum likelihood estimation, Wireless telecommunication systems, Discrete-time finite state Markov process, Encoding, Receiving antennas, Interference, Space–time code

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fd04901ebfc5c71b6e79933deb5cca6
https://doi.org/10.1109/icc.2002.997115

المؤلفون: Boche, H., Jugl, E.

مصطلحات موضوعية: mobile communication, probability, voice communication, analytical gain estimation, voice activity detectors, mobile communication systems capacity, quiet periods exploitation, active subscribers, probability estimation

Time: 621

Relation: Journal of electrical engineering; https://publica.fraunhofer.de/handle/publica/198634

الاتاحة: https://publica.fraunhofer.de/handle/publica/198634