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Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
The LD-RLS algorithm with directional forgetting implemented on a vector-like hardware accelerator
 Bartosinski, Roman
The paper discusses an RLS algorithm based on the LDU decomposition (LD-RLS) with directional forgetting implemented on an embedded system with a vector-oriented hardware accelerator. The LD-RLS algorithm can be attractive for control applications to identify an unknown system or to track time-varying parameters. A solution of the LD-RLS algorithm directly contains the estimated parameters. It also offers a possibility to use a priori information about the identified system and its parameters. The implementation of the LD-RLS algorithm is done on an FPGA-based accelerator from a high-level abstraction. It is compared with an implementation of the same algorithm in software on the same platform.
Úplný záznam
Detection of Elliptical Particles in Atomic Force Microscopy Images
 Sedlář, Jiří ; Zitová, Barbara ; Kopeček, Jaromír ; Todorciuc, T. ; Kratochvílová, Irena
In this paper we describe a method for detection and measurement of elliptical particles in atomic force microscopy (AFM) images. AFM imaging is used in physics to scan surfaces; the measured heights are represented by pixel values. Each sample in our project consisted of elliptical particles of principally the same size; the size could be characterized by the average length and width of a number of salient particles. The method we proposed is based on segmentation of undamaged particles and their approximation by ellipses; the major and minor axes provide robust estimates of the lengths and widths of the particles, respectively. The method is robust to distortions typical of AFM images. Its performance was demonstrated on images of pyrroles and compared with manual detection. Results show that the automatic method could be used in place of the time-consuming manual detection.
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