The Karnaugh map popularly known as the K-map is a method to simplify a given Boolean expression. The Karnaugh Map (K-Map) based technique breaks down beyond six variable. Telecommunication engineer at Bells lab Maurice Karnaugh refined the works of Edward Veitch ad created these k maps. The results are transferred from truth table to the rectangular grid numbering of cells is done according to...

In this paper we provide an in-depth evaluation of the SOM as a feasible tool for nonlinear adaptive filtering. A comprehensive survey of existing SOM-based and related architectures for learning input-output mappings is carried out and the application of these architectures to nonlinear adaptive filtering is formulated. Then, we introduce two simple procedures for building RBF-based nonlinear ...

Improving the rendering performance is a basic problem for computer graphics system. In this paper, we are aiming to investigate the impact on the rendering performance of some geometry compression methods. These methods are devised to optimize the use of the vertex cache. We will study how they interact with the on-chip texture cache. Based on the study, one simple method of improving renderin...

Aims. Archeops is a balloon-borne experiment inspired by the Planck satellite and its high frequency instrument (HFI). It is designed to measure the cosmic microwave background (CMB) temperature anisotropies at high angular resolution (∼12 arcmin) over a large fraction of the sky (around 30%) at 143, 217, 353, and 545 GHz. The Archeops 353 GHz channel consists of three pairs of polarized sensit...

Hardware data prefetching is widely adopted to hide long memory latency. A hardware data prefetcher predicts the memory address that will be accessed in the near future and fetches the data at the predicted address into the cache memory in advance. To detect memory access patterns such as a constant stride, most existing prefetchers use differences between addresses in a sequence of memory acce...

The recent successful commercialization of depth sensors has made it possible to effectively capture depth images in real time, and thus creates a new modality for many computer vision tasks including hand gesture recognition and activity analysis. Most existing depth descriptors simply encode depth information as intensities while ignoring the richer 3D shape information. In this paper, we pro...

The increasing resources and computing power of mobile computers leads to high performance user support in application fields like personal task management systems, navigation aids or interactive maps. The special needs of an user oriented visualisation tool for displaying maps and floor plans leads to innovative application and usable techniques for mobile devices. This report describes the id...

In this study, turbo codes were investigated in a slow frequency-hopped binary frequency shift keying spread spectrum (FH/BFSK-SS) system with partial band jamming and full-band thermal noise. A soft decision decoding metric which includes automatic gain control (AGC) is proposed for turbo code decoding with a non-coherent square law receiver of FH/BFSK. The study focused on the performance com...

Human behavior recognition has become a hot research topic in computer vision. In this paper, we propose an effective method to recognize human behaviors from sequences of depth maps, which provide additional body shape and motion information for behavior recognition. In our approach, we construct a novel difference motion history image, and propose axonometric projection to capture the target ...