A new model-based speech enhancement algorithm by variational Bayesian learning was proposed in this paper. Autoregressive process was used to model speech signal and its order was determined automatically. Clean spee...
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A new model-based speech enhancement algorithm by variational Bayesian learning was proposed in this paper. Autoregressive process was used to model speech signal and its order was determined automatically. Clean speech signal could be estimated using a variational Kalman smoother. Moreover, overfitting was avoided in the learning of model parameter and model structure. Experimental results compared with Kalman filter-based enhancement and spectral subtraction methods demonstrate the performance of our algorithm.
An additive discussion for the validity of using the weighted information entropy to evaluate the complex degree of infrared （IR） backgronnds is given, Since small targets can be temporarily lost in actual infrared ...
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An additive discussion for the validity of using the weighted information entropy to evaluate the complex degree of infrared （IR） backgronnds is given, Since small targets can be temporarily lost in actual infrared video sequences, an adaptive binarization threshold for small targets detection is presented. Experimental results show the robustness of our method,
The particle filter offers a general numerical tool to approximate the posterior density function for the state in nonlinear and non-Gaussian filtering problems. While the particle filter is fairly easy to implement a...
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The skeleton of an image object is a simplified representation, which is of great significance for the imagerecognition and matching. To obtain a smooth and accurate skeleton of a specified object in the gray image, ...
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In this paper, two new similarity measure methods based on set theory were proposed. Firstly, similarity measure of two sets based on set theory and set operation was discussed. This principle was used to spectral vec...
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In this paper, two new similarity measure methods based on set theory were proposed. Firstly, similarity measure of two sets based on set theory and set operation was discussed. This principle was used to spectral vectors, and two approaches were proposed. The first method was to create a spectral polygon corresponding to spectral curve, and similarity of two spectral vectors can be replaced by that of two polygons. Area of spectral polygon was used as quantification function and some effective indexes for similarity and dissimilarity were computed. The second method was to transform the original spectral vector to encoding vector according to absorption or reflectance feature bands, and similarity measure was conducted to encoding vectors. It proved that the spectral polygon-based approach was effective 'and can be used to hyperspectral RS image retrieval.
It is difficult but important to get clear information from the low illumination images. In recent years the research of the low illumination image enhancement has become a hot topic in imageprocessing and computer v...
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It is difficult but important to get clear information from the low illumination images. In recent years the research of the low illumination image enhancement has become a hot topic in imageprocessing and computer vision. The Retinex algorithm is one of the most popular methods in the field and uniform illumination is necessary to enhance low illumination image quality by using this algorithm. However, for the different areas of an image with contrast brightness differences, the illumination image is not smooth and causes halo artifacts so that it cannot retain the detail information of the original images. To solve the problem, we generalize the multi-scale Retinex algorithm and propose a new enhancement method for the low illumination images based on the microarray camera. The proposed method can well make up for the deficiency of imbalanced illumination and significantly inhibit the halo artifacts as well. Experimental results show that the proposed method can get better image enhancement effect compared to the multi-scale Retinex algorithm of a single image enhancement. Advantages of the method also include that it can significantly inhibit the halo artifacts and thus retain the details of the original images, it can improve the brightness and contrast of the image as well. The newly developed method in this paper has application potential to the images captured by pad and cell phone in the low illumination environment.
This paper illustrates the performance of a mobile positioning technique applicable to a GSM *** experimental system of a network-based GSM positioning for ITS has been proposed, and the hybrid TOA-TDOA method based o...
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This paper illustrates the performance of a mobile positioning technique applicable to a GSM *** experimental system of a network-based GSM positioning for ITS has been proposed, and the hybrid TOA-TDOA method based on GSM signaling has been analyzed and used. The performance of the proposed system is showed through simulations in urban and suburban environments. The accuracy for 67% mobile stations is 70 m in urban and 120 m in suburban. The accuracy, coverage and network load of positioning system are also analyzed.
Automatically assessment of photo quality in different categories is of great interest in the recent years. And there are many researches work on it. In this paper, we use several new global and regional features to d...
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Automatically assessment of photo quality in different categories is of great interest in the recent years. And there are many researches work on it. In this paper, we use several new global and regional features to describe the photo quality. In one image, there is an area where attract the most attention of humans eyes. We call this area subject area. We use two different methods to extract the subject area while dealing with different kinds of images. Then we extract the regional feature from the subject area and background separately. Photos taken by professional photographer have obvious difference between subject area and background. We combine global features and regional features, and our method performs quite well in the database.
This paper investigates sensor fault problems in Markov jump systems with uncertain *** the measurement equation,the sensor faults can be translated into the state ***,a cluster of residual generators is designed by e...
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ISBN:
(纸本)9781509009107
This paper investigates sensor fault problems in Markov jump systems with uncertain *** the measurement equation,the sensor faults can be translated into the state ***,a cluster of residual generators is designed by employing the space geometric *** corresponding filter parameters are obtained based on the space geometric approach,then using H optimization technique reduce the effects of disturbance inputs on the residuals,at the same time,the residual generator is designed so that the residual signals and sensor faults satisfy one to one correspondence,which can be used to detect and isolate the sensor faults in Markov jump systems with *** results demonstrate the efficiency of the proposed method.
This paper investigates the application of space geometry method for actuator fault detection and isolation(FDI) with disturbance inputs and measurement noises. To achieve the input signals, disturbances and noises ar...
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ISBN:
(纸本)9781479947249
This paper investigates the application of space geometry method for actuator fault detection and isolation(FDI) with disturbance inputs and measurement noises. To achieve the input signals, disturbances and noises are decoupled from residuals. Then the residual generator is designed and the relevant parameters are solved for it. When there are residuals exceed the threshold value, we can detect the faults. It can obtain single and multiple actuators FDI because of the method which we proposed satisfies the one-to-one corresponding relationship between faults and residuals. Simulation results demonstrate effectiveness of our proposed algorithm.
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