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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
上海财经大学信息管理与工程学院数据挖掘课件 Mode Estimation
Within the health-monitoring frame, fault diagnosis includes the following steps: modelling, detection, isolation andestimation. Quantitative-based methods have been successfully used so far in divers...
安徽师范大学概率论与数理统计课件Chapter6 Parameters Estimation
We study the precision limits of detecting a linear magnetic-field gradient by using W-states in the presence of different types of noises. We consider to use an atomic spin chain for probing the magn...
Image-Based Estimation and Validation of NIRS for High-Resolution Satellite Images     GSD  MTF  SNR  NIIRS  GIQE  Edge Response       font style='font-size:12px;'> 2015/11/20
As high resolution satellite images are being used widely in many applications more and more users are demanding images of good quality. The ‘quality’ of satellite images are expressed by many technic...
Photocurrent Estimation for a Self-Reset CMOS Image Sensor     CMOS image sensor  self-reset  SNR  dynamic range  estimation       font style='font-size:12px;'> 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...
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...
Fixed pattern noise (FPN) for a CCD sensor is modeled as a sample of a spatial white noise process. This model is,however, not adequate for characterizing FPN in CMOS sensors, since the readout circui...
Recent advances in imaging sensor technology make high frame rate video capture practical. As demonstrated in previous work, this capability can be used to enhance the performance of many image and vi...
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...
Estimation of mechanical structure damage can greatly benefit from the knowledge that the damage accumulates irreversibly over time. This paper formulates a problem of estimation of a pixel-wise monot...
The ICAO Second Order Step threat model defines a class of signal deformations that present a potential integrity threat to GPS-based aircraft landing systems such as the Local Area Augmentation...

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