An optimum value for detection probability
نویسندگان
چکیده
منابع مشابه
Optimum Probability Distribution for Minimum
In the present communication, we have obtained the optimum probability distribution with which the messages should be delivered so that the average redundancy of the source is minimized. Here, we have taken the case of various generalized mean codeword lengths. Moreover, the upper bound to these codeword lengths has been found for the case of Huffman encoding.
متن کاملislanding detection methods for microgrids
امروزه استفاده از منابع انرژی پراکنده کاربرد وسیعی یافته است . اگر چه این منابع بسیاری از مشکلات شبکه را حل می کنند اما زیاد شدن آنها مسائل فراوانی برای سیستم قدرت به همراه دارد . استفاده از میکروشبکه راه حلی است که علاوه بر استفاده از مزایای منابع انرژی پراکنده برخی از مشکلات ایجاد شده توسط آنها را نیز منتفی می کند . همچنین میکروشبکه ها کیفیت برق و قابلیت اطمینان تامین انرژی مشترکان را افزایش ...
15 صفحه اولOptimum noncoherent multiuser detection for DPSK modulation in generalized diversity Rayleigh fading channels: an asymptotic minimum error probability analysis
The jointly optimum noncoherent multiuser detector for DPSK modulation in generalized diversity Rayleigh fading channels (GDRF) was presented in [1] and bounds on the error probability were obtained. In the numerical examples of [1] these bounds were seen to converge. This paper examines analytically the behavior of the bounds for high signal-to-noise ratio (SNR) scenarios. Slowly fading channe...
متن کاملOptimum receive antenna selection minimizing error probability
The optimum receive antenna selection combining rule that minimizes the bit error probability is presented. It is derived from a general relationship between the bit error probability and the log-likelihood ratio (LLR), and selects the receive antenna providing the largest LLR magnitude. The optimum selection combining rule is applied to single transmit (Tx) antenna and space-time block code (S...
متن کاملOptimum probability estimation from empirical distributions
Probability estimation is important for the application of probabilistic models as well as for any evaluation in IR. We discuss the interdependencies between parameter estimation and certain properties of probabilistic models: dependence assumptions, binary vs. nonbinary features, estimation sample selection. Then we define an optimum estimate for binary features which can be applied to various...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Perception & Psychophysics
سال: 1981
ISSN: 0031-5117,1532-5962
DOI: 10.3758/bf03204475