This paper puts forward an offline handwritten numeral recognition method based on background structural descriptor
(sixteen-value numerical background expression). Through encoding the background pixels in the image according to a
certain rule, 16 different eigenvalues were generated, which reflected the background condition of every digit, then
reflected the structural features of the digits. Through pattern language description of images by these features, automatic
segmentation of overlapping digits and numeral recognition can be realized. This method is characterized by great
deformation resistant ability, high recognition speed and easy realization. Finally, the experimental results and
conclusions are presented. The experimental results of recognizing datasets from various practical application fields
reflect that with this method, a good recognition effect can be achieved.
Correlation match is widely used in the field of target recognition for its stability and adaptability, but traditional
correlation matching does not meet the demand for real time performance. For this reason, this paper presents an
improved recursive pyramid correlation image matching algorithm and accomplishes the algorithm's parallel
implementation on Multi-DSPs interconnected by FPGA with using several effective optimization strategies. Moreover,
we design detailed experiments which give a comparison of different matching speed using optimization methods step
by step. The results prove that our system is the best optimum with high efficiency compared with conventional
methods.
In an encoding period of Hadamard Transform Optics (HTO), the instable effect of the source (or signals) on the image or spectrum is studied to decrease aberration of the image or spectrum. The effect is due to the light intensity(or signals) fluctuation coupling to intermediate measurement values in the encoding period of HTO. The sensitivity of the effect to the frequency and amplitude of the fluctuation is also shown. The study reveals that the sensitivity has accumulative and cyclic nature, and it is an intrinsic characteristic of HTO. It limits the instability and inhomogeneity levels of the light source(or instability level of signals). The intrinsic characteristic can also be used to improve and analyze the image and spectrum which is given by HTO.
KEYWORDS: Satellites, Systems modeling, Computer simulations, Control systems, Satellite communications, Telecommunications, Data modeling, Mobile communications, Aerospace engineering, Information technology
This paper proposes a new Flexible Bandwidth Reservation Scheme (FBRS) for handover management and call admission control in Low Earth Orbit (LEO) satellite systems. FBRS mainly aims to the QoS enhancement of multi-service systems. Compared with the other schemes, FBRS has a better performance in call dropping probability and call blocking probability. Moreover, considering the complexity and bandwidth utilization, FBRS outperforms the other schemes. An analytical model has been developed. Simulation results demonstrate the effectiveness of the proposed scheme.
In low earth orbit (LEO) satellite communication systems, frequent intra- and inter-satellite communication handoffs are caused by the high-speed relative motion between the Earth and the satellite. Then frequent handoffs lead to a great call dropping probability which is a main parameter for system's QoS. In this paper, a Genetic Algorithm (GA) based adaptive bandwidth allocation scheme is presented. Aiming at multi-services satellite systems, the scheme focus on the system's QoS which is expressed by the customers' satisfaction degree and handoff call dropping probability. The effectiveness of the scheme is proved by simulation results.
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