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This paper investigates the problem of online active learning for training classification models from sequentially arriving data. This is more challenging than conventional online learning tasks since the learner not only needs to figure out how to effectively update the classifier but also needs to decide when is the best time to query the label of an incoming instance given limited label budget...
Quantitatively characterizing wind variation series in different environments is an important problem with significant engineering and industrial applications. We systematically carry out indoor and outdoor experiments separately to record two groups of wind speed time series. Using the Adaptive Optimal Kernel Time-Frequency Representation (AOK TFR) we first investigate the fluctuating behaviors from...
With the increase of the photoelectric scale, data with high quality is a necessary prerequisite for accurate prediction. The least square fitting method is one of the typical methods of abnormal data screening, which has not been widely used in screening photovoltaic power. In this paper, Three methods for outfielders with the abnormal screening of single point, short-term continuous outliers, long-term...
In order to improve the performance of equalization algorithm for joint blind equalization and carrier recovery in underwater acoustic channel, a modified super-exponential algorithm is proposed by substituting the constant modulus error of super-exponential iteration algorithm (SEI) with a square contour error in the fractionally spaced system. The proposed algorithm combines the fast convergence...
In order to compensate current harmonic in power system, a direct harmonic analysis algorithm, which was based on Fourier transform, was designed to identify and track harmonics. Compared with traditional FFT, the proposed algorithm was less dependent on hardware and could be used to for selective harmonic compensation. In order to improve the current tracking accuracy and compensation precision,...
The meaning of sound quality assessment is summarized. Based on the analysis of some characteristics of human auditory system and the model of loudness perception, an efficient loudness estimation approximate algorithm is proposed using the regression analysis method. Experimental results show that the approximate algorithm has fine performance for speech signal. Additionally, different people's speech...
The fast affine projection (FAP) algorithm is widely used in many applications for its advantages of low computational complexity and high convergence rate. The acoustic echo cancellation (AEC) system is one of the typical applications. In this paper, a novel system of subband AEC (SAEC) based on FAP algorithm is proposed. The proposed SAEC structure employs several subband adaptive filters to determine...
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