资源列表
DenseStereoAlgorithms
- 关于深度图像重建、分析的综述，英文版，很全面。-depth of image reconstruction, analysis overview, in English, very comprehensive.
quantumandneural
- 量子神经网络发展的概况，很有帮助。希望大家看一看。-Quantum Neural Network Development Overview and helpful. Hope that we look at.
shoujizhifuyanjiu
- 论文，关于现在手机移动电子支付的发展趋势，主要技术，安全问题等的讨论-thesis on the mobile phone is now the development of electronic payment trends, technology, safety issues are discussed
RobustlyImplementationoftheAdaptiveInverseControl.
- This paper addresses the issues relating to the enforcement of robust stability when implementing the Adaptive Inverse Control (AIC) scheme. In this scheme, an adaptive FIR filter is added to a closed-loop system in order to reduce the output
SubspacebasedblindadaptivemultiuserdetectionusingK
- A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estima
RobustadaptiveKalmanfilteringbasedspeechenhancemen
- This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autore
RobustadaptiveKalmanfilteringwithunknowninputs
- The standard optimum Kalman filter demands complete knowledge of the system parameters, the input forcing functions, and the noise statistics. Several adaptive methods have already been devised to obtain the unknown information using the measur
AnadaptiveKalmanfilterfortheenhancementofspeechsig
- This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in w
Anadaptivefilteringapproachtotargettracking
- A method is presented for augmenting an extended Kalman filter with an adaptive element. The resulting estimator provides robustness to parameter uncertainty and unmodeled dynamics.-A method is presented for augmenting an ext Kalman ended with
AnadaptiveKalmanfilterfordynamicharmonicstateestim
- Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive
AmultiKalmanfilteringapproachforvideotrackingofhum
- A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments is an latest PH.D graduation paper! it give to most needing people.-A multi-Kalman filtering approach for vid eo tracking of human-delineated o
Encryption-Tutorial
- 加解密入门级材料，内有多篇文章，一定会有帮助！-encryption entry-level material, there are more articles will be helpful!