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In this paper we are interested in the hypothesis test (HT) solution in the presence of prior information and conjugated prior distribution. Truncated Bayesian sequential posterior odd test (SPOT) is introduced to predict the required test sample size in autonomous underwater vehicle (AUV) range accreditation. We focus on the connection between risks (type I and type II) and truncated threshold, required...
This paper presents a grey particle filter (GPF) that incorporates the grey prediction algorithm into the particle filter (PF). The GPF self-estimates the depth of maneuvering autonomous underwater vehicle (AUV) using the data measured by the depth sensor equipped in the AUV under the condition that the prior maneuvering information is unknown and the measurement noise is time-varying. The principle...
This paper presents an adaptive particle filter (APF) for estimating the states of the nonlinear system with unknown parameters. To implement this algorithm, the process noise covariance is adjusted according to the innovation-based adaptive estimation (IAE) approach, which only takes advantage of one state model without the requirement of knowing the parameters. In addition, the Maximum-A-Posterior...
Localization is the core part of robot technique, and the robot localization based on the vision information attracts an unceasing attention of the robot control system. Taking effective image processing is the key to realize localization correctly, and only in this way can the precise location information be obtained. This paper is designed in the context of robot competition, and its filed has regular...
It is necessary to simulate seafloor reverberation time series for testing and evaluation of active sonar signal-processing algorithms and active sonar system-performance models. Traditionally, for an isovelocity sound-speed profile, consider simulating only the reverberation arising from direct-path propagation from the source to a scattering patch on the seafloor and back to a receiver. Actually,...
Network intrusion detection systems (NIDS) require multi-match packet classification, where all matching results need to be reported. Ternary Content Addressable Memory (TCAM) is well suited for high-speed packet classification problem by fast parallel matching. However, TCAM can only report first result due to the priority encoder structure. An efficient multi-match scheme is introduced in this paper...
JPEG2000, the state-of-the-art image compression standard, has many advantages, such as high compression efficiency and high image fidelity. However, because of its high computational complexity, real-time hardware implementation of JPEG2000 becomes a big problem when using it in deadline constrained applications. EBC algorithm is the main part of JPEG2000 which comprises more than 50% of the computational...
Packet classification has been critical data path function for supporting quality of service (QoS), resource reservation protocol (RSVP) and broad range of multimedia services. Hardware based solution is necessary to keep up with high-speed rate up to OC192 processing. However, the range match in multi-fields classification is still one of the bottleneck problems. In this paper, a novel structure...
With sharp development of new application on network, bandwidth has increased up to 10~40 Gbps. It??s very important to take more efficient information processing to fulfill requirements of better services quality. This article focuses on the construction of backbone network based on IP over SDH. By analysis of transmit structure and protocol stack, several key techniques of information processing...
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