Low noise capabilities of a linear code using the algorithm are demonstrated.
Taking into account instrument signal to noise levels it is found that in general, the linear polarization can be used as effectively as the total radiance measurement, with consideration of instrument signal to noise capabilities; however the horizontal polarization is more promising in terms of signal magnitude.
The effectiveness, anti-noise capability and lateral continuity of Laplace mixed-domain inversion are illustrated by synthetic tests.
The performances of different fault features and the anti-noise capability of the approach were also investigated.
For AdaBoost, the stopping conditions, the way to enhance anti-noise capability and how to improve the accuracy by optimizing the diversity of the base classifiers, are good questions to be in-depth researched.
Here the dark fringes are extracted from the image plane, rather than the Fourier/focal plane, and the invalid extracted fringes can be tactfully bypassed to improve the anti-noise capability.
Under such a semi-orthogonal multiple access channel (MAC), performance of the linear minimum mean squared error (LMMSE) estimation is analyzed in terms of two indicators: the channel noise suppression capability and the observation noise suppression capability.
This means that, while the correlation among the equivalent channel responses does not affect the channel noise suppression capability, it reduces the observation noise suppression capability.
Compared to the orthogonal MAC operating under the same bandwidth, the semi-orthogonal MAC with fixed sensor grouping has the same channel noise suppression capability, but twice the observation noise suppression capability as K approaches infinity.
Therefore with a fixed K, if N increases, which means more orthogonal channels and each with fewer sensors transmitting on, the channel noise suppression capability degrades, while the observation noise suppression capability is practically unchanged.
