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安徽师范大学概率论与数理统计课件Chapter6 Parameters Estimation
CMOS image sensors are capable of very high frame rate non-destructive readout. This capability and the potential of integrating memory and signal processing with the sensor on the same chip enable th...
Gradient-based optical flow estimation methods such as Lucas Kanade method work well for scenes with small dlsplacements but fail when objects move with large displacements. Hierarchical matching-base...
CMOS image sensors generally su er from lower dynamic range than CCDs due to their higher readout noise.Their high speed readout capability and the potential of integrating memory and signal processin...
This paper addresses the problem of finding bounds on the optimal maximum a posteriori (or maximum likelihood) estimate in a linear model under the presence of model uncertainty. We introduce the nove...
In this paper, we present a model-based approach for estimating fault conditions in an aircraft. We formulate fault estimation as a convex optimization problem, where estimates are obtained by solving...
This correspondence presents a linear transformation, which is used to estimate correlation coefficient of first-order Markov process. It outperforms zero-forcing (ZF), minimum mean-squared error (MMS...

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