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In order to describe the camera internal geometrical and optical parameters, and the relation between camera and object in three-dimensional space, traditional camera calibration methods usually need to assume lots of priori knowledge, establish precise mathematical model and then decompose and calculate those parameters we need. While artificial neural network has outstanding non-linearity mapping...
The AQM (Active Queue Management) Algorithm such as RED, PI, REM have too long respond time and some other problems. Though it makes some enhancement, the PID (Proportional Integral Differential) active queue management algorithm can not make the queue length converge to expectation with longer delay. Because of self-adapt control of BP (back-propagation) neural network, this issue bring forward a...
In order to resolve the problem of deficiency in the data of slab thermal properties during calculating the slab temperature in heating furnace, a new method using artificial neural networks to estimate the slab thermal properties is introduced. Based on the fact of the thermal properties change mainly with the chemical ingredients and the temperature, two BP neural networks which work together and...
Aimed to improve the working efficiency of cone picking robot and release workers from heavy manual labor, a novel RBF neural network based fuzzy self-adaptive Kalman filter is presented in the paper. The position and object input voltage are taken as the inputs of the RBF neural network model. Consider that the traditional BP algorithm has shortcomings of converging slowly and easily trapping a local...
This paper addresses the problem of robust speech endpoint detection in aircraft cockpit voice background. The proposed method described in this paper is based on a statistical model approach. Based on the voice background characteristics analysis, the complex Laplacian distribution model that directly aim at noisy speech is established; then the likelihood ratio test (LRT) based on binary hypothesis...
This paper presents a technique to automatically stitch images captured from different viewpoints. The main contribution of our method is that it allows for largely mismatched content between the adjacent views. To do this, we detect robust keypoints in each of the input images and match them between the adjacent views. Then the correct correspondences are employed to compute the projective matrix...
To solve the problems in modulation recognition of time-frequency overlapped two-signal in the single-channel, an algorithm based on cyclic cumulants used modulation recognition is presented. Through computing the fourth-order cyclic cumulants of pretreated band signals, the feature vector for classification was extracted, and then use the minimum-error criterion to classify time-frequency overlapped...
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