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For distributed generation (DG) network, it is important to estimate the real-time states. The information-centric networking (ICN) is established to take charge of the communication of DG network. However, the assumption of ideal communication between sensors and the estimation center cannot be guaranteed due to the communication constraints of ICN with the increasing DG network. A conventional algorithm,...
The purpose of this study is to develop a model to predict the number of vehicles owned in consideration of recent circumstances of emerging countries. In the previous studies, prediction models have been developed from different viewpoints such as energy issue. However, recent growth of the number of vehicles owned in the emerging countries has been more rapid than the predictions. On the other hand,...
The Improved TD-RVoG model was combined with the classical forest inversion algorithm, three-stage inversion method, for the estimation of forest height by using single baseline spaceborne PolInSAR data. Previous research [6–7] has shown temporal decorrelation reduces the interferometric coherence and increases the deviation of the interferometric phase. The Improved TD-RVoG model considers the both...
This paper proposes an H∞ polytopic filter design for a nonlinear system. Based on the polytopic approximation of the nonlinear system, the polytopic filter design is converted into a group of linear matrix inequalities (LMIs) so that the polytopic filter parameters can be effectively acquired by numerical convex optimization algorithms. At this stage, the tensor product (TP) model transformation...
Background noise is a severe problem in speech related systems. In order to solve this problem, it is important to eliminate the noise from the noisy speech, which is called speech enhancement. Typical speech enhancement algorithms only operate on the short-time magnitude spectrum, while keeping the short-time phase spectrum unchanged for synthesis. Or only compensate the phase spectrum while keeping...
Silhouettes are frequently extracted and described to compose inputs for learning methods in solving human pose estimation problem. Although silhouettes extracted from background subtraction methods are usually noisy, the effect of noisy inputs to pose estimation accuracies is seldom studied. In this paper, we explore this problem. First, We compare performances of several image features widely used...
In this paper, a non-line-of-sight (NLOS) error mitigation on time-difference-of-arrival (TDOA) measurements from pilot signals of a wireless communication network is proposed to solve the positioning and tracking issue involved in the environments where some base stations have NLOS errors. NLOS propagation error occurs when a direct path between a target and a sensor is blocked by some obstacles...
One of the driving forces of the development of SAR image formation has been to obtain better and better image resolution. Conventional radar imaging methods based on Fourier transform provide good resolution as long as the backscattered data is available over a large bandwidth and a sufficient aspect region. The paper proposes a 2D Unitary ESPRIT superresolution SAR imaging method exploiting that...
Age estimation from facial images has promising applications in human-computer interaction, biometrics, visual surveillance, and electronic customer relationship management, etc. Most existing techniques and systems can only handle frontal or near frontal view age estimation due to the difficulties of 1) differentiating diverse variations from uncontrollable and personalized aging patterns on faces...
We propose double-search-window block matching and describe an FFT-based fast algorithm for it. The double-search-window defines two different-sized search windows, an inside-search-window and an outside-search-window, for block-matching. The proposed method achieves the same accuracy as a direct SSD full search in the inside-search-window. It also offers a pseudo-full-search result in the outside-search-window...
In many modern video encoders, motion estimation is usually formulated as a Lagrangian cost function that balances motion prediction accuracy and the rate to transmit motion vectors. In H.264/AVC video encoders, including the H.264 reference software, in an effort to reduce computational complexity, the motion vector rate is often estimated using a look-up table based on universal variable length...
By combining Fractional Spectral Subtraction (FSS) with Perceptual Linear Predictive (PLP), a hybrid method of noise robustness speech recognition isinvestigated in this paper. This method uses FSS for noisy speech to reduce noise components in the fractional Fourier domain. According to the results ofcomputing Itakura distance and Mean Square Error (MSE), an approximate optimal fractional order is...
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