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For multi-sensor data fusion applications the accurate alignment of different sensor data is essential for the proper combination of matching features. In food inspection system the boxing often is in a rectangular shape. This knowledge can be used to rectify the image data, an important step in the alignment stage. In case of low contrast between boxing and background, the detected contour may differ...
On the condition of amplitude-comparison monopulse radar system, for measuring the direction of multicomponent sources in the space which have same modulation format, an algorithm of Direction-of-Arrival (DOA) estimation based on Radon-Ambiguity Transform is proposed. The typical signal model is built up, and when the time-of-arrival is very approximate, it is discussed how to extract the signal amplitude...
With the merits as far responding distance, hiding receiving and easy-deploying, the single observation passive location has a broad application in military domain and plays an important part in passive radar, navigation and aerospace, etc. With the information of phase-difference, phase-difference rate of change and Doppler frequency rate of change, a new algorithm called PFRC, based on EKF, is proposed...
In modern driver assistance systems the environment perception plays a decisive role in order to evaluate the current traffic scene. The reliable recognition of the drivable area provides essential information for lane departure warning systems which in turn contribute to active road safety. Most systems on lane recognition do reliable work on well marked roads and under good weather and lighting...
The same object will show different colors under different illumination. An illuminant-independ color representation were proposed. Firstly, estimate the illumination color, and transform the RGB cube to a color space XLYLZL, then transform the XLYLZL back to RGB color space. To verify the effectiveness of color correction algorithm, a set of images taken under CIE A illuminant which are yellow-biased...
In many applications of Wireless Sensor Networks (WSN), it is crucial to know the location of sensor nodes. Although several methods have been proposed, most of them have poor performance in irregularly shaped networks. MDS-MAP is one of the localization methods based on multidimensional scaling (MDS) technique. It uses the connectivity information to derive the location of the nodes in the network...
This paper proposes an improved lattice-reduction aided (LRA) MMSE detection by combining the LLL algorithm and the Gram-Schmidt (GS) procedure. The proposed detection reduces the column vectors of the MIMO channel matrix using the LLL algorithm and the GS procedure to create mutually purely orthogonal column vectors of the reduced channel matrix. Then the decision boundary becomes the same as that...
We present a novel image transform called scale manipulation (SMT). The transform can be used for object pose estimation and registration of affine transformed images in the presence of non homogenous illumination changes. The transform calculates affine invariant features of objects in a global manner and avoids using any sort of edge detection. The computational load of the method is relatively...
In SAR ATR, target azimuth estimation is one of the important pre-processing steps. Accurate estimation will bring a higher recognition rate. This paper presents a novel target azimuth estimation algorithm based on SVR with feature fusion. First target imaging pose is estimated roughly by long-edge fitting (LF) and ridgelet transform (RT) respectively, then SVR estimators are trained by the above...
Recently, great attention was intended toward overcomplete dictionaries and the sparse representations they can provide. In a wide variety of signal processing problems, sparsity serves a crucial property leading to high performance. Decomposition of a given signal over two or more dictionaries with sparse coefficients is investigated in this paper. This kind of decomposition is useful in many applications...
We consider the estimation of the variance of an additive white Gaussian noise corrupting an image. In the proposed approach, we exploit the nonlocal self-similarity of images to achieve an improved separation of noise and signal. In particular, we utilize the same adaptive 3-D transform decomposition used in the BM3D (block-matching and 3-D filtering) denoising algorithm, where mutually similar blocks...
In this paper, a new class of hybrid lower bounds on the mean square-error of estimators is proposed. Derivation of the proposed class is performed by applying an integral transform on the centered likelihood-ratio (CLR) function. It is shown that the hybrid Cramer-Rao and Barankin bounds are the limits of convergent sequences of bounds, which are obtained from the proposed class using specific sequences...
Fingerprint ridge distance is a very useful parameter in AFIS (automatic fingerprint identification system), it can be used for fingerprint enhancement, identification or classification. In this paper, a new ridge distance estimation method based on the ridge search is presented. Firstly, we use the IPL(initial points line) to select the initial-points line. Then, we follow ridges with the search...
Many WCET analysis tools developed in academia integrate WCET analysis into program compilation, either to transform flow information extracted from the source code level to the object code level, or to perform flow analysis on a special intermediate representation. This integration increases analysis complexity, forces software developers to use a special compiler, and thus, strongly limits the usability...
Terrain matching assistant navigation is a new method in navigation technology of the underwater vehicles. In this paper, ICCP algorithm is studied and improved with MATLAB. By measured terrain data at real time and real multi-beam bathymetric measured terrain data, the accumulative errors of the inertial navigation system can be corrected and the optimal matching position can be gotten. In order...
This paper introduces a model of mixture of probabilistic linear regressions (MPLR) to learn a mapping function between two feature spaces. The MPLR consists of weighted combination of several probabilistic linear regressions, whose parameters are estimated by using matrix calculation. The mixture nature of MPLR allows it to model nonlinear transformation. The formulation of MPLR is general and independent...
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in turn proportional to an underlying vector-valued signal of interest. Certain wavelet and filterbank transform coefficients corresponding to measurements of this type are distributed as sums and differences of Poisson counts,...
We present an algorithm based on probabilistic latent component analysis and employ it for relative pitch estimation of multiple instruments in polyphonic music. A multilayered positive deconvolution is performed concurrently on mixture constant-Q transforms to obtain a relative pitch track and timbral signature for each instrument. Initial experimental results on mixtures of two instruments are quite...
We have implemented several fast and flexible adaptive lapped orthogonal transform (LOT) schemes for underdetermined audio source separation. This is generally addressed by time-frequency masking, requiring the sources to be disjoint in the time-frequency domain. We have already shown that disjointness can be increased via adaptive dyadic LOTs. By taking inspiration from the windowing schemes used...
DNA gels analysis plays an important role in genetic of populations and genetic disorders diagnosis studies. The main purpose of this procedure is to determine the size(measured in base pairs) of every DNA fragment present in the gel. This paper describes a procedure, based on digital image processing techniques, that leads to lanes segmentation and bands detection on the digital image, with help...
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