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In this paper, a novel anomaly detection method ispresented by using quaternion numbers to model traffic signals. A signal processing approach is proposed to deal with traffic surveillance. Traffic structures are depicted using directed graph models. The relationship among different traffic direction signals are represented through using quaternion numbers instead of individual representation of one...
This paper introduces a fast blind deconvolution strategy for image deblurring by modifying a recent natural image model, i.e., the total generalized variation (TGV), which aims at reconstructing an image with higher-order smoothness as well as sharp edges. But, when it turns to the blind issue, as demonstrated either empirically or theoretically by a few previous blind deblurring works, natural image...
The directional intra prediction (DIP) modes in HEVC are capable of predicting local continuous image features. Recently, intra block copy (IBC) is proposed for screen content coding, aiming at predicting non-local recurrent image features. For natural video, we observe that recurrent features are often irregular and not aligned with blocks. Thus, we propose a combination of DIP and IBC with block...
In this paper, we present a novel method for seamlessly mosaicking panoramic images based on superpixels in the graph cuts energy minimization framework. To effectively ensure that all seamlines are detected in the laterally continuous regions with the high image similarity and the low object dislocation, the energy functions adopted in graph cuts combine the pixel-level similarities of image characteristics,...
Traditional sample entropy is greatly affected by the tolerance r, which is determined by the original data standard deviation. Entropy values are subject to the non-stationary mutations and the probability distributions of sequences, which cannot reflect the growth rate of new information purely. To solve problems above, we combine equiprobable symbolization with the sample entropy and detail the...
Rapid tooling (RT) technology can effectively improve the production efficiency and market competitiveness of enterprises, but the forming process of RT is influenced by many factors, which is a typical weak theoretical strong experience field, How to introduce the expert knowledge and experience into RT forming process is the key to improve product quality. However, due to lack of the information...
As the translational motion model used in recent video coding standards cannot represent the complex motion such as rotation and zooming well, a simple local affine motion compensation framework supporting multiple reference frames is proposed in this paper to characterize the complex motion. Besides, since the commonly used fast motion estimation for affine motion model is still quite complex, a...
Successive interference cancellation (SIC) has been extensively applied to estimate transmit signals in communication systems. When the channel state information (CSI) and noise statistics are imperfectly estimated, the standard SIC estimators that ignore the model mismatch may perform poorly. This paper introduces regularized SIC estimation to provide robustness against the model mismatch. Suboptimal,...
Multiple string matching to handle massive amount of data could be implemented via a complete automaton. But it is difficult to implement because of computational complexity and processing speed, especially in real time. A dedicated computer architecture framework, which makes it possible, is proposed in this paper. The features of this architecture are as following: tree node is expressed by two...
Abstract- The conventional single-relay aided two-phase cooperative network employing a so-called soft-input soft-output multiple-symbol differential sphere detection (SISO-MSDSD) and operating in a distributed turbo decoding mode incurs a high complexity and imposes a 50$\%$ half-duplex relaying induced throughput loss. In this paper, we combat both of these critical problems. We commence by evaluating...
The conventional amplify-and-forward cooperative system is capable of achieving a superior performance with the aid of Multiple-Symbol Differential Sphere Detection (MSDSD), when compared to conventional differential detection (CDD) for transmission over time-selective channels. However, the conventional broadcast/cooperative twin-phase based relaying protocol encounters a 50% throughput loss imposed...
Active learning is a hot topic in machine learning field. The main task of active learning is to automatically select the representative instances for efficiently reducing the sample complexity. This paper presents a brief survey of active learning regarding selection methods, query strategies, applications and other related works.
In current high-speed communication and storage systems, the increasing demand for providing flexible Reed-Solomon (RS) decoding solutions to multi-mode applications has created the desire of universal RS decoders. In this paper, we present a high-speed area-efficient versatile RS decoder architecture based on recursive degree computationless modified Euclidean (rDCME) algorithm. Targeting at different...
G.729 is called conjugate structured-algebraic code excited linear prediction (CS-ACELP), its fixed-codebook adopts algebraic- codebook. The algebraic structure of the codebook allows for a fast search procedure, but it still requires large computational load using the nested-loop search method. The focused search used in G.729 and the depth-first tree search used in G.729a can reduce the searching...
Considering research progress of complexity study and characteristic of supply chain coordination, from the relation between the complexity of a system and the amount of information which is needed to describe the state of a system, this paper proposes a quantifying model of 3-echelon supply chain coordination complexity information entropy based. The model includes two parts: supplier-manufacturer...
With the extensive applications in high-speed communication systems, the current high-throughput Reed-Solomon decoders are required to achieve the target data rates from 10 Gb/s to 100 Gb/s with low hardware complexity. In this paper, pipeline interleaving inversionless Berlekamp-Massey (PI-iBM) algorithm and pipeline interleaving reformulated inversionless Berlekamp-Massey (PI-RiBM) algorithms for...
Viterbi decoder (VD) is widely used in modern communication systems. For low power applications, trace-back approach (TBA) is usually employed for the survivor memory unit (SMU) of VD. However, TBA suffers from long latency and low throughput. Employing multiple memory banks can resolve the throughput issue on a great extent. In this paper, we present efficient schemes to improve the latency issue...
The sector partition is an important part of airspace planning. The research on the sector division methods is of great significance in controlling to clear the air traffic flow in the region, relaxing the pressure of air traffic controlling effectively, and increasing air traffic flow to ensure flight safety. This paper provides the new method of sector division based on the Power diagram. With Power...
In this paper, an efficient high-speed low-density parity-check (LDPC) decoder is presented. Single minimum decoding and non-uniform quantization schemes are explored to reduce the complexity of computation core and the memory requirement. Shifting structure is incorporated to significantly reduce the routing complexity of the LDPC decoder. The implementation of an 8192-bit LDPC decoder demonstrates...
The objective of this study was to characterize heterogeneous flow patterns using the information theory. The information content of heterogeneous flow was measured with Shannon information entropy and the main information gain, and the flow complexity was measured with the effective measure complexity and fluctuation complexity. The mean information gain, the effective measure complexity and fluctuation...
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