Study of an efficient SOC test vector compression scheme
An active queue management scheme based on equivalent active flow number estimation
Special quick CTM method in real-time SAR imaging
A novel fast intra prediction algorithm in H.264/AVC
Region-division calibration for 3-CCD scanner input
Dynamic shape finding technology research on cable structures
A distributed synchronous reservation multiple access control protocol for mobile Ad Hoc networks
A model of the worm propagation and control based on firewall
Modeling and control of a flexible cable system
A new subspace method for the estimation of parameters of near field sources
An adaptive random shape ROI coding method
An improved signature scheme based on the braid group
Design and analysis of a spherical omnidirectional rolling robot with a stable platform
A fast super-resolution method for coherent signals
An efficient high-dimensional image indexing method for relevance feedback
Study of the optical signal detection reflected by the infrared scanning imaging systems
An MOM analysis for a mixture of conducting and dielectric objects
Research on a domain specific language constructing method based on objects
A new method using fuzzy approximate melody matching for QBH based music retrieval
A semidefinite programming multiuser detector with pretreatment
Method for dealing with the stochastic structure based on full-probability
Classification of the FSK signal over a rayleigh fading channel
Thermal conductivity prediction of underfill and its affects on the flip chip temperature field
Fast wavelet transforms based on binary partition techniques
The control arithmetic for the double inverted pendulum based on the fuzzy control theory
An anisotropic diffusion equation based on the morphological operator
The game and incentive in the medical insurance market
Analysis and design of the instrument OS based on Linux
The demand for the instrumental OS is becoming more and more urgent because of instrumental development. The paper analyzes Linux’s characteristics and shortages if it acts as an instrumental OS. In order to design this kind of OS that satisfies instrumental requirement, Linux’s kernel is modified in timer resolution, kernel preemption and priority reversion and so on. Improving the timer is realized by the analysis of the CPU structure; and a new preemptive kernel is realized by the integration of the dual-kernel with inserting preemptive points, and priority reversion is avoided by the realization of PIP. Finally, the test is done. The result shows that real-time performance is efficiently improved and the scope of use is extended, and thus it is effective for instrumental requirement.
Adaptive backstepping output feedback control for nonlinear time-delay systems
Improved MUSIC method for detection of currents
Study of the optimal control model of the value-at-risk
Prediction algorithm for fast fading channels based on the chaotic attractor
A technology of spatial power-combination for the random decentralized jammer array
Secure distributed generation of the product of shared secrets
Research on the API model design and application in the fractional-N frequency synthesizer
The method for improving the range resolution in a passive location system
A novel autofocus algorithm based on maximum total variation criteria for SAR image
A weighted feature reduction method for the power spectrum of radar HRRP
This paper proposes a weighted feature reduction method based on Fisher’ discriminant ratio(FDR) for a time-shift invariant feature, power spectrum, in radar automatic target recognition using the high-resolution range profile(HRRP). The proposed weighted feature reduction method uses the FDR vector of the target power spectrum to iteratively search for an optimal weight vector, and reduce feature dimensionality according to the optimal weight vector. Compared with using the raw power spectrum feature and some existing feature reduction methods based on Fisher’s linear discriminant, the proposed weighted feature reduction method can not only reduce the feature dimensionality, but also improve the recognition performance with low computation complexity. In the recognition experiments based on measured data, the proposed method is robust to different test data and achieves good recognition results.