The speckle brightness adaptive algorithm has previously been implemented in approximately real-time on low frequency, one-dimensional arrays [1]. To increase the speed of this technique, a temporally parallel algorit...
详细信息
The speckle brightness adaptive algorithm has previously been implemented in approximately real-time on low frequency, one-dimensional arrays [1]. To increase the speed of this technique, a temporally parallel algorithm and a spatially parallel algorithm are described. Theoretical analyses, simulation results and experimental measurements are presented for these algorithms. Theoretical predictions indicate that these techniques increase the correction speed, but some decrease in the accuracy of the compensating phase estimate occurs. Simulation results indicate that these parallel algorithms perform well at removing the effects of phase aberration. Preliminary experimental measurements demonstrate the correction speed improvements achievable with these algorithms.
Power systems are non-linear and they are often subjected to random disturbances. Therefore stochastic controllers with on-line system identification are ideally suited to power system control problems. Experience wit...
详细信息
Power systems are non-linear and they are often subjected to random disturbances. Therefore stochastic controllers with on-line system identification are ideally suited to power system control problems. Experience with a real time implementation of an adaptive power system stabiliser to damp the dynamic oscillations of a power system is presented. A multi-input multi-output (MIMO) pole shifting control algorithm together with a least-square system identification is used. The system identification is improved using a variable forgetting factor in the recursive least-squares algorithm. The computation time was greatly reduced by streamlining the identification algorithm using the sparse nature of the matrices associated with the computation and by using parallel processing techniques. The controller was tested in real time using a physical model of a power system. The results show that the damping of the power system dynamic oscillations can be improved by using this controller.
In this paper, we discuss some of the new developments in parallel processing techniques in the context of computational electromagnetics. We present the results of a performance study of the parallel FDTD algorithm r...
详细信息
ISBN:
(纸本)9781424449682
In this paper, we discuss some of the new developments in parallel processing techniques in the context of computational electromagnetics. We present the results of a performance study of the parallel FDTD algorithm running on various hardware platforms, such as a high performance cluster, a PC cluster, multi-core processor, GPU, and IBM CELL processor, for both Windows and Linux operating systems. The results show that the FDTD method is extremely well suited for parallel platforms.
This paper proposes a method for real-time image de-blurring and panoramic image stitching. Currently there are several methods for de-blurring images and images stitching however, many take several seconds to process...
详细信息
ISBN:
(纸本)9781479969685
This paper proposes a method for real-time image de-blurring and panoramic image stitching. Currently there are several methods for de-blurring images and images stitching however, many take several seconds to process on a standard computer. The method proposed in this paper is to implement parallel processing techniques to an existing de-blurring method and a new dynamic-based panoramic image stitching method to achieve real-time image processing. This method has been applied to a muscle inspired camera orientation system that rapidly captures images to process these images in real time. This orientation system captures images while the camera is in motion causing a blurring effect. Using estimated position data from the system dynamics of the camera orientation system the point spread function of the image and the average image location can be estimated;hence, the image is de-blurred and stitched in real time. The proposed method makes use of parallelprocessing and precomputation techniques to greatly reduce the required processing time when compared to existing methods.
暂无评论