The max-log-map (MLM) receiver is an approximated version of the well-known, Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm. The MLM algorithm is attractive due to its implementation simplicity. In practice, sliding-window implementations are preferred; these practical implementations consider truncated signaling neighborhoods around each transmission time instant. In this paper, we consider the bin...

هلاقم تاعلاطا هدیکچ لماک یشهوژپ هلاقم :تفایرد 23 دنفسا 1392 :شریذپ 15 تشهبیدرا 1393 :تیاس رد هئارا 19 رهم 1393 رد اب هلاقم نیا رد يور مسج لمح يارب ریسم بیقعت یقیبطت لرتنک ،مسج نتفرگ نیح رد مسج و تابر کی هجنپ نیب شزغل ناکما نتفرگ رظن کت تابر کی طسوت نیمز رارق یسررب دروم یتشگنا یسررب يارب یبسانم هنومن ،متسیس نیا .تسا هتفرگ شور ياه فلتخم لیلحت دننام یحارط لرتنک هدننک اه رد تابر متسیس ماسجا ...

عاطقلا طبر ي يذ لا ة يبرهكلا ىو قلا ماظنل يكيمانيدلارارقتسلال ةضيفتسم ةيلمع ةسارد ثحبلا اذه مدقي ني ب ة لوقنملا ةرد قلا ةدا يز ى لع ك لذ ريثأ ت و ةيدوعس لا ءا برهآ ةآر ش ن م ط سولأا عا طقلا و يقرش لا نيعاطقلا ، ىوقلا مظن تاتبثم طبض للاخ نم كلذو . دقل شم ةغايص مت ةلك طبض ةروص ىف تاتبثملا هذه ةلثمأ ةلكشم . ماظنلا ءادأ نيسحتل ك لذو ةدر فنملا ماظنلا ميق ىلع نادمتعت فده يتلاد حارتقا مت دقلو . د قلو ...

يفكي هنأ نيبن ،ثحبلا اذه يف ةيقفأ حئارش تاطاقسإ هيمسن ام لثم باسحلا ةلهس ملاعم مادختسا ايلآ ةعوبطملا فورحلا ىلع يئوضلا فرعتلا ةلأسم ةءافكب لحت يكل ةيسأرو . ةرجش مادختساب فرعتلا متي حاجنلا لدعم ةدايزل ىرخأ تافاضإ عم ةدمعأو فوفص فذحو ميعنتو عوجر تايلآب ةموعدم رارق . و مدختسن ماظنلا بيردتل طخ نم زومر Times New Roman . دق فذحلاو ميعنتلاو عوجرلا ليعفت نإ لاًدعم ققح حجان اً زواجت 98 % نم لقأ فرعت نمزب ...

ABSTRACT The mixed linear model (MLM) is an advanced statistical technique applicable to many fields of science. The multivariate MLM can be used to model longitudinal data, such as repeated ratings of disease resistance taken across time. In this study, using an example data set from a multi-environment trial of northern leaf blight disease on 290 maize lines with diverse levels of resistanc...

Recognizing TimeML events and identifying their attributes, are important tasks in natural language processing (NLP). Several NLP applications like question answering, information retrieval, summarization, and temporal information extraction need to have some knowledge about events of the input documents. Existing methods developed for this task are restricted to limited number of languages, an...

Intelligent tutoring systems yield data with many properties that render it potentially ideal to examine using multi-level models (MLM). Repeated observations with dependencies may be optimally examined using MLM because it can account for deviations from normality. This paper examines the applicability of MLM to data from the intelligent tutoring system Writing-Pal using intraclass correlation...

MOOCs have brought a revolution to education. However, their impact is mainly benefiting people with Higher Education degrees. The lack of support and personalized advice in MOOCs is causing that many of the learners that have not developed work habits and selflearning skills give them up at the first obstacle, and do not see MOOCs as an alternative for their education and training. MyLearningM...

Multilevel modeling (MLM) is a popular way of assessing mediation effects with clustered data. Two important limitations of this approach have been identified in prior research and a theoretical rationale has been provided for why multilevel structural equation modeling (MSEM) should be preferred. However, to date, no empirical evidence of MSEM’s advantages relative to MLM approaches for multil...