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In order to distill the features of radar echo-signal affected by strong jamming noise, the sparse decomposition method and BPDN (Basis Pursuit Denoising) algorithm are used to remove the noise and recover the radar echo-signal. Based on the theory analysis, the reconstruction of the radar echo-signal with different SNR and anti-jamming effect of the method is studied by the simulation. The simulation...
This paper discusses I/O architecture and key techniques of RAID controller. The main target is insert the request of the RAID module which have split user request into single disk R/D into corresponding I/O disk queue. According the priority and read/write characteristic, we adjust the requests order in response request queue or combination the fore-and-aft small requests into a big request, consequently...
To solve the problems of slow convergence and low computational precision of blind source separation(BSS) based on traditional particle swarm optimization(PSO), a novel approach-based adaptive particle swarm optimization for real-time blind source separation is proposed, in which the observations are linear convolutive mixtures of statistically independent speech sources. It combines the independent...
Aiming at the feature of the cavity microscopic image of the cross-section of Fiberboard, a new algorithm is proposed which can detect the image effectively and accurately. This algorithm used Otsu algorithm to segment the cavity from the microscopic image, then refined the cavity edge by using the GAP statistic model which was based on the difference in distribution function of grey-level. The experimental...
IDS (Intrusion Detection system) is an active and driving defense technology. This paper mainly focuses on intrusion detection based on data mining. The aim is to improve the detection rate and decrease the false alarm rate, and the main research method is clustering analysis. The algorithm and model of ID are proposed and corresponding simulation experiments are presented. Firstly, a method to reduce...
This paper considers the regularized learning algorithm associated with the least-square loss and compressed domain. The target is the error analysis for the regression problem learned in compressed domain. We show that the least-square regularized algorithm is beneficial from the compressed sensing.
This paper proposes a fast inter prediction mode decision method for H.264. Motion compensation residuals of macroblock are used to analyze motion characteristics of each portion, and reduce the candidate inter modes to a small subset. Compared with the exhaustive mode search, the proposed method achieves an average 63% reduction in computation time with negligible degradation in visual quality. Compared...
With the rapid development of computer network technology, network not only provides the service for the people, but also has brought many negative effects. Intrusion detection is used to solve this problem. In order to improve the speed and intensity of intrusion detection, data mining technology can be applied to intrusion detection systems. Association rules are a common method in data mining....
This paper describes and deduces the theory of Haar-like features, Integral image and AdaBoost algorithm, which were proposed by Paul Viola, and then researches its improvement. We combine Microsoft Visual C++6.0 with OpenCV Function library to develop the software, and achieve the function of real-time face detection. According to experimental results, we can conclude that the improved algorithm...
Unlike traditional routing schemes that route all traffic along a single path, multipath routing strategies split the traffic among several paths in order to ease congestion. It has been widely recognized that multipath routing can be fundamentally more efficient than the traditional approach of routing along single paths. aiming at the increasing network traffic and the deficity that the former Ant...
This paper discusses stream media application server from stripe size, RAID algorithm and block size. According to the characteristics, we design and set up stream media application server which has excellent performance.
This paper describes a novel fast mean shift algorithm based on a resampling technique with marked regular pyramid structure. This new method focuses on solving the problem of high calculation complexity when high data dimension or large data sets are involved in mean shift. By resampling the original image with marked regular pyramid structure, improved method reduces the number of pixels requiring...
Multi-class classifier is usually constructed by means of combining the outputs of several binary ones, according to an error correcting output code (ECOC) scheme. In the paper, within the framework of ECOC, we analyse of the ECOC of kernel machines originally proposed before. Then we present the generalization bounds of the ECOC of kernel machines according to the results of stability and generalization...
In this paper, we present an effective parallel algorithm for polygonizing implicit surfaces. The algorithm can produces triangulation approximation of implicit surface with adaptive size of triangles according to the local curvature of the surface. Our algorithm first divides an given implicit surface into eight parts by subdividing its bounding box. Then, the algorithm finds a seed point for each...
Dynamic spectrum access (DSA) supporting opportunistic transmission without extra spectrum bandwidth is attractive for future wireless communication. To facilitate such DSA system, a power-efficient (green) communication processor is needed to support extremely high speed operation on a power-limited mobile device. Traditional general-purpose and digital signal processors are unable to simultaneously...
Low Density Parity Check (LDPC) codes have been adopted in a number of wired and wireless communication standards due to their improved error correcting ability and relatively simple decoder structure. However, for very high throughput systems operating in the multi-Gb/s range conventional decoding methods based on message passing are limited, due largely to the sheer volume of messages being exchanged...
This paper presents the design of a new diffusion algorithm over adaptive networks. The algorithm assumes knowledge of variance of additive noise. The design is based on the Noise-Constrained Least-Mean Squares (LMS) Algorithm and the new algorithm becomes a type of variable step-size algorithm for which the step-size variation rule results directly from the constraint. The design of the Noise-Constrained...
In a heterogeneous cellular networks environment, users behaviour and network deployment configuration parameters have an impact on the overall Quality of Service. This paper proposes a new and simple model that, on the one hand, explores the users behaviour impact on the network by having mobility, multi-service usage and traffic generation profiles as inputs, and on the other, enables the network...
In this paper, we propose a parallel hybrid merge-select sorting approach for the implementation of K-best list sphere detection (LSD) multi-input multi-output (MIMO) decoder based on a recently developed novel Reconfigurable Instruction Cell Array (RICA). Several popular sorting algorithms adopted in MIMO decoding are analyzed and mapped onto our proposed platform. We discuss the targeted K-best...
Almost all mobile image search applications available in the market only support text queries, which it is sometimes difficult to describe the needs in text and the text input is inconvenient on small devices. This paper proposed a mobile phone image search application that can perform practical image search processing in real-time. The early stage of the project is aimed to develop the application...
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