Fig. 6 MSE performance comparison of BSC based estimator for different values of the number of the pilot 100, 50, and 10 versus SNR. Figure 7 compares the (MSE) performance versus SNR among BCS, threshold-BSC, MT-BCS, LS, OMP and the Bilinear Approximate Message Passing (Bi-AMP) [26].
This paper presents a novel technique for the real time estimation of the wheel-rail contact forces based on an estimator design model that takes into account the nonlinearities of the interaction by means of a fitting model functional to reproduce the contact mechanics in a wide range of slip and to be easily integrated in a complete model based estimator for railway vehicle.
We developed a new, linear-regression based estimator for
Indeed, the choice of the appropriate PS based estimators for conditional and marginal non-linear treatment effects has been thoroughly discussed in the recent literature [ 21, 36- 38].
The heuristically based estimators for unbiased techniques defined in [9] and [10] give better results than the one defined in Section 6 for possibly biased techniques, except for the third example, where the new heuristic performs much better.
(a) T60 = 200 ms and (b) T60 = 500 ms. In the first experiment, the entropy, MI and modified MI based estimators for both Gaussian and Laplacian models are compared in two different noise conditions with SNR = -5 and 25 dB, respectively.
Lin et al. [11] developed the ML-equivalent nullspace based estimator (NBE) for joint CFO and DCO estimation and proved its equivalence to ML estimator.
Recently, we investigated the coexistence of CFO, I/ Qimbalance and DCO in OFDM system and presented an eigen-decomposition based estimator (EDE) [13] for all the three parameters.
The performance of the neural network based estimator is investigated with simulations for variations in the rotor resistance from their nominal values, with both speed and load torque disturbances.In this paper, adaptive speed control of induction motor using neural network inverse control scheme are proposed.
Although the estimator[14] achieves a more robust performance for extremely high Doppler regions (e.g., f d T ≥ 0.3), the proposed subblock tracking based estimator yields potential advantage for doubly selective channels environment of the most acceptable range of most studies (e.g.,f d T ∈ [0.1, 0.3]).
