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Anomaly detection has become an important topic in hyperspectral imagery (HSI) analysis over the last 20 years. HSIs usually possess complexly cluttered spectral signals due to the complicated conditions of the land-cover distribution. This in turn makes it difficult to obtain an accurate background estimation to distinguish the anomaly targets. The sparse learning technique provides a way to obtain...
Articulatory features are used as an universal set of speech attributes shared across many different languages. Some multilingual and cross-language speech recognition systems using articulatory features have been shown to improve the performance. The existing articulatory features are defined by phonetician as a set of articulatory descriptions of phones, which represent some semantic information...
Sparse representation based anomaly detection algorithms have received a widely interest in recent years. However, most of the existing approaches fail to pay attention to the manifold structure of the video data, which has been pointed to be important for data representation. To overcome this limitation, we develop a new sparse coding algorithm named constrained sparse representation (CSR) for video...
In a series of studies, articulatory features used as speech attributes for automatic speech recognition systems have been shown to improve the performance. The existing articulatory features are defined by phonetician as a set of articulatory descriptions of phones, which represent some semantic information explaining how humans produce speech sounds via the interaction of different physiological...
In order to obtain consecutive and smooth video encoding quality under the network bandwith and delay constrained, an optimal rate control algorithm was presented. Because the linear MAD prediction of the basic unit costs too many operations and exists deviation, in this paper, we present a new weighted mode for prediction, and more, macroblock layer rate control is added in the algorithm. Simulation...
Adaptive transmission which adjusts optimally transmit power level, preceding matrix, modulation and coding schemes at the cost of perfect channel state information (CSI) , can greatly improve the performance of a communication link under fading environment. As the perfect CSI is difficult to be available at transmitter, it is valuable to study the adaptive design with partial CSI. Previous works...
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