In communication systems, frequency jump is a serious problem caused by the oscillators used. Kalman filters are used to detect that jump, despite the tradeoff between the noise level and the speed of the detection. In this paper, an improvement is introduced in the Kalman filter, through a nonlinear change in the bandwidth of the filter. Simulation results show a considerable improvement in th...

improving the quality of medical images at pre and post-surgery operations are necessary for beginning and speeding up the recovery process. partial differential equations (pdes)-based models have become a powerful and well known tool in different areas of image processing such as denoising, multiscale image analysis, edge detection and other fields of image processing and computer vision. in t...

This paper presents a fault detection and isolation (FDI) filter design to linearized longitudinal dynamics of a Boeing 747 series 100/200. The FDI filter design based on fundamental problem of residual generation (FPRG). In our case the fault detection filter is sensitive to elevator and stabilizer fault. The three type of actuator failures considered in this paper are lock failure, loss in ef...

A new observer based fault detection and diagnosis scheme for predicting induction motors’ faults is proposed in this paper. Prediction of incipient faults, using different variants of Kalman filter and their relative performance are evaluated. Only soft faults are considered for this work. The data generation, filter convergence issues, hypothesis testing and residue estimates are addressed. S...

This work uses two performance metrics, target detection and scene reconstruction performance, to compare various estimation techniques that operate on compressed measurements. Specifically we compare the performance of the compressed matched filter, `1-regularized least squares, and complex approximate message passing (CAMP), as well as a sparsified matched filter estimate. We show that the co...

This paper propose a method of personal identification based on finger-vein patterns. An image of a finger captured by the web camera under the IR light transmission contains not only the vein pattern itself; but also shade produced by various thickness of the finger muscles; bones; and tissue networks surrounding the vein. In this paper; we intro-duce preliminary process to enhance the image q...

Edge detection and edge enhancement techniques play an essential role in interpreting potential field data. This paper describes the application of various edge detection techniques to gravity data in order to delineate the edges of subsurface structures. The edge detection methods comprise analytic signal, total horizontal derivative (THDR), theta angle, tilt angle, hyperbolic of tilt angle (H...

In this paper, a novel track-before-detect algorithm is proposed for weak target with low signal to noise ratio. Multi-sensor information combining with trackbefore-detect technology is used to improve the signal to noise ratio. According to frame sequences of each sensor, Rao-Blackwellized particle filter, which is a clever combination of the Kalman filter and the standard particle filter, is ...

detection scheme for solving the problem of automated defect detection for textile fabrics. In the development of the scheme, Gabor wavelet network (GWN) is deployed as the major technique to extract texture features from textile fabrics. An optimal Gabor filter is then designed on the basis of the features extracted. The proposed defect detection scheme consists of one real-valued optimal Gabo...

Edge detection of pictures is a vital task in computer vision and image processing. Edge detection is always study focus in the field of medical image processing and analysis. It is necessary step in medical image processing. Edge detection of noise free pictures is comparatively less complicated, however in most sensible cases the photographs area unit degraded by noise. Edges in photos provid...