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a r t i c l e i n f o a b s t r a c t Digital watermarking techniques have been proposed for copyright protection and au-thentication of multimedia data. In this paper, we propose a novel Chinese Remainder Theorem (CRT)-based technique for digital watermarking in the Discrete Cosine Transform (DCT) domain that is robust to several common attacks. We(More)
Smart sensing of environmental parameters is an important task in robotics, process industries, sensor networks and autonomous systems. In this paper, we propose a novel Chebyshev neural network (ChNN) to develop smart sensors which can provide linearized and accurate readout, and can compensate for nonlinear environmental disturbances including additive(More)
We propose a computationally efficient Legendre neural network (LeNN) for identification of nonlinear dynamic systems. Due to its single-layer architecture, the LeNN offers much less computational complexity than that of a multilayer perceptron (MLP). By taking several plant models of increasing complexity and with extensive simulations we have shown(More)
The importance for an athlete to control emotion has been widely accepted. However its measurement is still a difficult task. World Archery, an international federation, along with Tabrasco Ltd, wanted to measure the heart rate of their athletes, to help TV viewers understand the inner state of an athlete during main competitions. We present here this(More)