The use of adaptive algorithms to mitigate the detrimental effects of noise upon receivers employing antenna arrays is instrumental in modern day radar systems applications. In the majority of these algorithms, the target is assumed to be confined to only one range cell. Under practical operating conditions, the target can actually be distributed across several range cells. This signal contamin...

Two-dimensional (TD) adaptive filtering is a technique that can be applied to many image, and signal processing applications. This paper extends the one-dimensional adaptive filter algorithms to TD structures and the novel TD adaptive filters are established. Based on this extension, the TD variable step-size normalized least mean squares (TD-VSS-NLMS), the TD-VSS affine projection algorithms (...

background: breast cancer is currently one of the leading causes of death among women worldwide. the diagnosis and separation of cancerous tumors in mammographic images require accuracy, experience and time, and it has always posed itself as a major challenge to the radiologists and physicians. objective: this paper proposes a new algorithm which draws on discrete wavelet transform and adaptive...

This tutorial provides an introduction to the application of knowledge-based processing to the general radar problem. We interpret knowledge-based processing as the use of adaptivity and the exploitation of prior knowledge in such a way as to choose the optimum processing method in each case, and we interpret the general radar problem as the detection, classification and tracking of targets aga...

This paper describes an on-going work focused on using Adaptive Reservations to cope with unpredictabilities due to the interrupt processing times in real-time kernels. Using this approach, the execution time stolen by interrupt processing is modeled as a variation in the application execution times, and an adaptive scheduling mechanism automatically compensates its effects.