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Compared with Wireless Local Area Networks (WLANs) in the ISM band, smaller path loss of the spectrum in TV White Space (TVWS) provides larger coverage region with the same power budget. More nodes derived from the larger coverage region increase the collision probability, which damages the throughput efficiency of carrier sense multiple access#x002F;collision avoidance (CSMA#x002F;CA) protocol in...
A design of compact dual band 8-element MIMO antenna using folded monopole structures is proposed. The MIMO antenna consists of 8 folded monopole antenna elements, each two of them are symmetrically placed on the orthogonal frame corners of the substrate, and closely located to each other with no clearance on the ground. The folded monopole arms are used as radiation elements to resonate at two different...
LDS-OFDM and SCMA are two examples of non orthogonal multiple access (NOMA), which is considered to be a promising technology for next generation wireless communications due to its larger capacity region compared with orthogonal multiple access (OMA). Iterative receiver structure is used in these two systems to get better performance than the noniterative receiver, but a direct implementation of iterative...
Energy management is a key issue for mobile devices. On current Android devices, power management relies heavily on OS modules known as governors. These modules are created for various hardware components, including the CPU, to support DVFS. They implement algorithms that attempt to balance performance and power consumption. In this paper we make the observation that the existing governors are (1)...
In many multi-targets tracking scenarios, the amplitude returning from targets are typically stronger than those from clutters. This information could be used to enhance the tracking performance by establishing more accurate clutter and target likelihoods. In this paper, we incorporate the amplitude information into the δ-Generalized Labeled Multi-Bernoulli (δ-GLMB) filter, which is based on the random...
In recent years, sensors are widely used in outdoor activities for returning motion information to participants. This paper proposes a product that could send back information about the tennis stroke while playing tennis in real time. This product, consisting of sensor module, controller module and transmission module, is embedded in tennis handle. There are three steps for stroke recognition. Shot...
Improving the isolation between Multi-input Multi-output (MIMO) antenna elements in a mobile handset is a challenging topic in 5G communication time in order to achieve high data rate. Conventional decoupling methods for MIMO antennas are usually based on changing or neutralizing the interacted current, whereas the concept of controlling electromagnetic fields is seldom considered in the decoupling...
It is a challenging task to develop a robust appearance model due to various factors such as partial occlusion, fast motion, background clutters and illumination variations. In this paper, we propose a novel target representation for visual tracking. Namely, a target candidate is represented by sparse affine combinations of dictionary templates in a particle filter framework. Affine combinations based...
The paper presents an efficient parallel timing synchronization algorithm structure, which is suitable for high speed communications demodulation system and easy to implement on FPGA platform. First, a new parallel timing synchronization structure is displayed. Wherein the proposed parallel structure make up of a feedback loop based on the farrow interpolation filter, Gardner algorithm and the numerically...
More and more study and application of ubiquitous healthcare system have been based on WBN (wireless body area networks). However, there are several important aspects that should be considered, such as the large amount sensing data, limited mobile terminal power supply, wireless bandwidth for video data flow. In ubiquitous healthcare networks, some personal health-care data are very important, such...
Link prediction is an important problem in the traditional field of data mining. Thus in the past several years, abundant traditional algorithms from a global perspective have been proposed. But, they all fail to accurately and individually recommending friends in social networks. Hence, the personalized link prediction has been introduced in this paper, in which each individual will get equal number...
Ultrasonic examination is a routine inspection technology. It has several merits, such as no harm to human body, cheap and relative high precision inspection. So it is widely used in physical examination and various types of organ inspections. In order to increase the detection rate of liver disease in ultrasound images, a method extracting the liver region from ultrasound images is proposed in this...
In the most of super-resolution reconstruction algorithms, high-resolution and low-resolution images are assumed in the same manifold space. However, due to distractions, this assumption is not suitable for the practical applications. This paper proposes a novel super-resolution reconstruction algorithm for face images. In order to consider the manifold inconsistency of high-resolution and low-resolution...
Feature extraction and classification for EEG signals are key technologies in medical applications. This paper proposes an efficient feature extraction framework that combines hybrid feature extraction and feature selection method. In order to fully exploit information from EEG signals, several feature extraction methods of different types are applied, which are autoregressive model, discrete wavelet...
This paper presents a novel feature grouping based framework for building facade recognition from aerial images. A combination of Maximally Stable Extremal Regions (MSERs and steered Determinant-of-Hessian (steered-DoH) are proposed to detect different shapes of blobs from images. Then we employ local parallelogram grouped by these repetitive and evenly distributed blobs to form an point-based regularity...
Impulsive noise modeled by symmetric α-stable (SαS) distribution can be found in many communication scenarios, such as atmospheric noises in very low frequency and low frequency (VLF/LF) communication systems and network interferences in wireless communication networks, etc. Under these cases, as Gaussian noise based signal processing methods always have poor performance, it is necessary to design...
The symmetric α-stable (SaS) distribution has been widely used to model the impulsive noise, which typically exists in many communication scenarios, such as atmospheric noises in very low frequency and low frequency (VLF/LF) communication systems and network interferences in wireless communication networks, etc. Since Gaussian noise model based signal processing algorithms always perform poorly under...
Predicting user responses, such as clicks and conversions, is of great importance and has found its usage inmany Web applications including recommender systems, websearch and online advertising. The data in those applicationsis mostly categorical and contains multiple fields, a typicalrepresentation is to transform it into a high-dimensional sparsebinary feature representation via one-hot encoding...
In the wireless co-time and co-frequency full-duplex (CCFD) systems, the self-interference must be cancelled in analog domain before quantization. However, the performance of analog self-interference cancellation (ASIC) is affected by the key components, such as the attenuator. To solve this problem, the convergence characteristics of the analog self- interference cancellation (ASIC) is analyzed and...
Probabilistic graphic model is an elegant framework to compactly present complex real-world observations by modeling uncertainty and logical flow (conditionally independent factors). In this paper, we present a probabilistic framework of neighborhood-based recommendation methods (PNBM) in which similarity is regarded as an unobserved factor. Thus, PNBM leads the estimation of user preference to maximizing...
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