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安徽师范大学数学计算机科学学院概率论与数理统计英文课件Chapter6 Parameters Estimation
安徽师范大学数学计算机科学学院 概率论 数理统计 英文课件 Chapter6 Parameters Estimation
2019/11/26
安徽师范大学数学计算机科学学院概率论与数理统计英文课件Chapter6 Parameters Estimation。
安徽师范大学概率论与数理统计课件Chapter6 Parameters Estimation
安徽师范大学 概率论 数理统计 课件 Chapter6 Parameters Estimation
2017/3/6
安徽师范大学概率论与数理统计课件Chapter6 Parameters Estimation。
Photocurrent Estimation for a Self-Reset CMOS Image Sensor
CMOS image sensor self-reset SNR dynamic range estimation
2015/8/17
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...
Optical Flow estimation using high frame rate sequences
Optical Flow estimation high frame rate sequences
2015/8/17
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...
Photocurrent Estimation from Multiple Non-destructive Samples in a CMOS Image Sensor
Photocurrent Estimation Multiple Non-destructive Samples CMOS Image Sensor
2015/8/17
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...
Likelihood bounds for constrained estimation with uncertainty
Estimate the linear model model uncertainty likelihood estimation the second-order cone programming
2015/8/10
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...
Embedded estimation of fault parameters in an unmanned aerial vehicle
Based on the model of fault plane convex optimization problem constraint quadratic programming the horizon framework
2015/8/10
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...
Improved Parameter Estimation for First-Order Markov Process
Parameter Estimation First-Order Markov Process
2009/9/4
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...