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In this paper, a tracking controller is designed for a helicopter with a slung load. The designed controller is nonlinear and is based on the backstopping method. First, we developed a comprehensive nonlinear mathematical model of the helicopter and designed a nonlinear backstepping controller to track the trajectory of the helicopter alone. Then, we developed a mathematical model of the slung load...
We investigate time delay and channel gain estimation for multipath fading Code Division Multiple Access (CDMA) signals using the second order Divided Difference Filter (DDF). We consider the case of paths that are a fraction of chip apart, also knwon as closely spaced paths. Given the nonlinear dependency of the channel parameters on the received signals in multiuser/multipath scenarios, we show...
We investigate time delay and channel gain estimation for multipath fading code division multiple access (CDMA) signals using the second order divided difference filter (DDF). We consider the case of paths that are a fraction of chip apart, also knwon as closely spaced paths. Given the nonlinear dependency of the channel parameters on the received signals in multiuser/multipath scenarios, we show...
The mainstream approach to image quality assessment has centered around accurately modeling the single most relevant strategy employed by the human visual system (HVS) when judging image quality. In this work, it suggest that a single strategy used for single database may not be sufficient; rather, The no-reference/blind image quality assessment (NR-IQA) is the most difficult due to the reference...
The identification of reservoir regions has a close relationship with the detection of faults in seismic volumes. However, only relying on human intervention, most fault detection algorithms are inefficient. In this paper, we present a new technique that automatically tracks faults across a 3D seismic volume. To implement automation, we propose a two-way fault line projection based on estimated tracking...
In this paper, a novel speaker identification technique using the Dempster-Shafer evidence theory is discussed. The objective is to fuse the complementary information present from different classifiers into a single decision. Here, we use a decreasing function of the distance (of the classifiers) as the belief function. We show that a combined classifier based on the Dempster-Shafer theory outperforms...
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