Application of particle swarm optimization (PSO) to single-snapshot direction of arrival (DOA) EstimatIOn
標簽： single-snapshot optimization Application direction
上傳時間： 2013-12-20
上傳用戶：youlongjian0
Produce a Java program to calculate the value of π in two different methods proposed by Francois Vieta and John Wallis. Design and implement a super-class EstimatIOn two sub-classes (FrancoisVieta and JohnWallis) and an application class.
標簽： calculate different Francois proposed
上傳時間： 2013-12-27
上傳用戶：84425894
This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence EstimatIOn (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel EstimatIOn algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
標簽： performance likelihood decision feedback
上傳時間： 2013-11-25
上傳用戶：1079836864
15篇光流配準經典文獻，目錄如下： 1、A Local Approach for Robust Optical Flow EstimatIOn under Varying 2、A New Method for Computing Optical Flow 3、Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms 4、all about direct methods 5、An Introduction to OpenCV and Optical Flow 6、Bayesian Real-time Optical Flow 7、Color Optical Flow 8、Computation of Smooth Optical Flow in a Feedback Connected Analog Network 9、Computing optical flow with physical models of brightness Variation 10、Dense EstimatIOn and object-based segmentation of the optical flow with robust techniques 11、Example Goal Standard methods Our solution Optical flow under 12、Exploiting Discontinuities in Optical Flow 13、Optical flow for Validating Medical Image Registration 14、Tutorial Computing 2D and 3D Optical Flow.pdf 15、The computation of optical flow
標簽： 光流
上傳時間： 2014-11-21
上傳用戶：fanboynet
Optimisation of the pilot-to-data power ratio in the wireless MIMO-OFDM system with low-complexity MMSE channel EstimatIOn
標簽： low-complexity pilot-to-data Optimisation MIMO-OFDM
上傳時間： 2016-12-16
上傳用戶：66666
This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of EstimatIOn error are derived. The EstimatIOn performance (error mean and
標簽： processing ballistic the tracking
上傳時間： 2014-10-31
上傳用戶：yyyyyyyyyy
This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of EstimatIOn error are derived. The EstimatIOn performance (error mean and
標簽： processing ballistic the tracking
上傳時間： 2014-01-14
上傳用戶：奇奇奔奔
This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of EstimatIOn error are derived. The EstimatIOn performance (error mean and
標簽： processing ballistic the tracking
上傳時間： 2013-12-22
上傳用戶：asddsd
包含了H.264編碼標準的兩篇文章，是講多描述編碼的。An Effective Epipolar Geometry Assisted Motion EstimatIOn Technique for Multi-View Image and Video Coding和An Epipolar Geometry-Based Fast Disparity EstimatIOn Algorithm for Multiview Image and Video Coding
上傳時間： 2014-12-21
上傳用戶：saharawalker
observable distribution grid are investigated. A distribution grid is observable if the state of the grid can be fully determined. For the simulations, the modified 34-bus IEEE test feeder is used. The measurements needed for the state EstimatIOn are generated by the ladder iterative technique. Two methods for the state EstimatIOn are analyzed: Weighted Least Squares and Extended Kalman Filter. Both estimators try to find the most probable state based on the available measurements. The result is that the Kalman filter mostly needs less iterations and calculation time. The disadvantage of the Kalman filter is that it needs some foreknowlegde about the state.
標簽： distribution observable grid investigated
上傳時間： 2014-12-08
上傳用戶：ls530720646
