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We propose and experimentally demonstrate a radio-over-fiber (RoF) system employing subcarrier-index modulation (SIM) orthogonal-frequency-division multiplexing (OFDM) signal. Thanks to the introduction of a new freedom in terms of SIM, a robust and energy-effective transmission solution is achieved for the RoF system. In the experiments, the 8-GHz QPSK-SIM-OFDM and conventional QPSK-OFDM signals...
Aimed at the problem of the noise in the side channel analysis (SCA) of hardware Trojan, a novel idea to develop an optimal algorithm model based on smooth filtering is discussed in this paper. To reduce the influence of the abnormal points on the curve, the idea uses the least square method to fit the original data curve. The approach is validated using power simulation with a 128-bit Advanced Encryption...
In this work the feasibility of implementing Cellular Neural Networks (CNN) for image predictive coding is investigated. Various CNN structures as predictors are proposed. The performances are compared to the existing predictive coding methods. Thanks to their massive parallel nature, CNN have been proven well suitable for image predictive coding application.
Subspace learning has long been a fundamental yet important problem of modeling data distributions. In this paper, we propose to learn multiple linear subspaces in a supervised way for multi-class classification. To this end, a discriminative term redefining decision margin in terms of reconstruction error is incorporated into the model. The term enjoys similar properties of hinge loss function to...
In this paper, addressed SOI SJ-LDMOS high voltage devices, from the beginning of conventional SOI SJ-LDMOS structure, the charge balance effect, the lateral and vertical breakdown voltage theory, self-heating effect and the new device structure are researched. Based on the above aspects, a novel charge-mode SOI SJ-LDMOS high voltage device structure is proposed, and some simulation experiment results...
In this paper we discuss in detail the feasibility of implementation and realization of uncoupled Cellular Neural Networks (CNN) systems for image representation. Applying CNN systems for representation of binary image patterns with sparse distribution of points as an example for a possible application is studied here. The test results show a high quality of representation with this method and proved...
Congestion in a transportation network is usually the result of either an increase in traffic demand, i.e. the desire of drivers to use the transportation network, or a decrease in traffic supply, i.e. the traffic capacity, which is affected by weather conditions, incidents, etc. In either case, congestion reduces the efficiency of the transportation network and increases the travel time of vehicles...
By taking advantage of their nonlinear dynamics Cellular Nonlinear Networks (CNN) are considered to be powerful tools for many image processing applications. In this paper we will try to investigate the feasibility of image representation by using CNN dynamics.
This paper presents a low power low-noise amplifier (LNA) with subthreshold operation for Global Position System (GPS) L1-band radio frequency (RF) receiver using a 0.18 um CMOS process. An inductively degenerated cascode topology with a single ended to differential conversion using capacitive coupling compensation is applied to the LNA structure. The LNA has two tunable gain sates to support either...
Recently complex systems are explored intensively and introduced to a large extent in different applications. In this paper we try to use complex systems to generate codebooks for vector quantization in the image coding field. A progressive optimization method for codebook generation using complex systems will be discussed.
During the BDAR (Battlefield Damage Assessment and Repair) Supporting Unit supports repairing the damage- equipments in multi-battlefield locales, some other locales may also ask for supporting. Aimed to the BDAR Supporting Unit's scheduling problem of this dynamic battlefield, a scheduling method based on the interrupt procedure like in computer technology is proposed in this paper. This can guarantee...
Accurate identification of Link4A is the premise of performing effective jamming. Based on instantaneous information identification algorithm, three key features, including two new ones, are extracted which are used to identify 2FSK modulation signal: the maximum value of the spectral power density of the normalized-centered instantaneous amplitude gammamax, the mean of the absolute value of instantaneous...
We present a hybrid algorithm to reconstruct 3D microstructure from 2D section image of sandstone. Utilizing porosity and autocorrelation function of 2D image, truncated Gaussian method based on fast Fourier transformation is used to reconstruct an initial structure rapidly with less accuracy. The initial structure is evolved by simulated annealing method to reconstruct a microstructure with the same...
We study optimal trajectory generation for nonholonomic mobile robots in the presence of moving obstacles. The trajectory is presented by a parameterized higher-order polynomial and is feasible for car-like robots whose motion is nonholonomic. An optimal performance index is set up so that the parameterized trajectory stays close to the shortest straight-line path. Combining with the collision avoidance...
A novel idea is proposed to provide context-aware adaptive services by use of widely adopted Session Initiation Protocol (SIP) in NGN. As the key to the idea, a new context-aware SIP proxy is worked out. It will support environment adaptability through policy decision and exchange of context information using SIP and its sibling protocols. In this new proxy, we propose to deliver context according...
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