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This depends on the choice of a suitable error measure.
Two suitable error estimators are defined to address both issues.
Back propagation is based on minimization of a suitable error or cost function.
The SNR penalty can be reduced further by using suitable error correcting codes.
A suitable error model is derived based on signals filtered from plant input and output.
Moreover, it is shown how to choose suitable error sensors and their influence in the performance of the ASIC controller.
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The receiver then applies a discrete Fourier transform (DFT) to generate estimate of c. Finally it extracts the block of input bits by applying a suitable error-correction algorithm.
Rate adaptation is a technique that enables the selection of the most suitable error-correction coding rate according to the real-time channel quality, therefore increasing the overall throughput.
KF is an acceptable estimator for linear errors but due to inherent nonlinear errors of MEMS and its highly varied output, KF only is not suitable for error compensation in MEMS gyro.
In order to formulate and solve this prescribed performance tracking problem on SE(3), we first select a suitable tracking error vector and prescribed performance bound which characterizes the minimum convergence rate and maximum overshoot of the tracking error vector.
The convergence of the reduced order model with increasing number of basis functions is addressed in a suitable H1 error norm.
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