نتایج جستجو برای: error estimation
تعداد نتایج: 487582 فیلتر نتایج به سال:
In this paper, we improve the performance of the TiR-UWB communication systems with the non-ideal estimation of the channel. Time Reversal (TiR) technique is an effective and simple method for data transmission in extremely multipath indoor UWB channels that mitigates the complexity of receiver by its own time focusing feature. Although, TiR method has the suitable performance, but it is sensit...
objective: this study was performed for evaluation of accuracy of fetal weight estimation by clinical & ultrasonographic methods in iranian population . meterial & method:this prospective study was conducted on two hundred preg .nant mothers that reffered to obstetric department during years 1378 & 1379 . findings:our study showed that there was statistically significant difference between clin...
Census counts are subject to different types of nonsampling errors. One of these main errors is coverage error. Undercount and overcount are two types of coverage error. Undercount usually occurs more than the other, thus net undercount estimation is important. There are various methods for estimating the coverage error in censuses. One of these methods is dual system (DS) that usually uses dat...
time reversal (tir) technique is an effective and simple method for data transmission in extremely multipath indoor uwb channels that mitigates the complexity of receiver by its own time focusing feature. although, tir method has the suitable performance, but it is sensitive to the non-ideal channel estimation error. in this paper at first, the bit error probability of tir-uwb communication sys...
Frequency synchronization is vital issue in execution of OFDM system. In this paper we proposed a technique to estimate and compensate CFO in frequency domain. Estimation is based on Comb-type pilot sequence, which can measure phase rotation of received signal pass through fading channel. Performance of proposed scheme is evaluated on basis of MSE and BER. CFO estimation can be computed by pilo...
Another question of interest concerns the behaviour of a learning algorithm in the infinite sample limit: as it receives more and more data, does the algorithm converge to an optimal prediction rule, i.e. does the generalization error of the learned function approach the optimal error? Recall that for a distribution D on X × Y and a loss ` : Y × Y→[0,∞), the optimal error w.r.t. D and ` is the ...
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