Uniformly Redundant Arrays (URA’s) are two–dimensional binary arrays with constant sidelobes of their periodic autocorrelation function. They are widely agreed upon to be optimum mask patterns for coded aperture imaging, particularly in imaging systems with a cyclic coded mask. In this paper, a survey of all currently known construction methods for URA’s is given and the sizes and open fraction...

A redundant binary (RB) representation is used for designing high performance multiplier. Because of its high modularity and carry free addition. The error correcting word (ECW) plays an important role in redundant binary multiplier. The redundant binary (RB) coding and modified booth (MB) encoding creates the error correcting word. The extra error correcting is eliminated by combining the erro...

This paper describes a representation of the dynamics of human walking action for the purpose of person identification and classification by gait appearance. Our gait representation is based on simple features such as moments extracted from video silhouettes of human walking motion. We claim that our gait dynamics representation is rich enough for the task of recognition and classification. The...

Many complex regulatory processes concern tracking a constant or variable set point. Examples include temperature homeostasis, rhythmic oscillation, and the concentration of key metabolites and enzymes. Control over homeostatic or tracking phenotypes often depends on multiple, overlapping regulatory systems. In this paper, I develop a theory for the evolutionary dynamics of redundant regulatory...

We study a dynamic coordination process in which agents are uncertain about the actions of their fellow agents, and anticipate strategically relevant information. Because of the uncertainty and learning, (ir)reversibility of actions has important strategic consequences. We find that the reversibility option can either enhance or hamper efficient coordination, and we characterize the direction o...

News videos from different channels, languages are broadcast everyday, which provide abundant information for users. To effectively search, retrieve, browse and track news stories, news story similarity plays a critical role in assessing the novelty and redundancy among news stories. In this paper, we explore different measures of novelty and redundancy detection for cross-lingual news stories....

An intrusion detection system collects and analyzes information from different areas within a computer or a network to identify possible security threats that include threats from both outside as well as inside of the organization. It deals with large amount of data, which contains various irrelevant and redundant features and results in increased processing time and low detection rate. Therefo...

Accurate semantic analysis of LiDAR point clouds enables the interaction between intelligent vehicles and real environment. This paper proposes a hybrid 2D 3D Hough Net by combining global features local with classification deep learning network. Firstly, object are mapped into space to extract features. The generated input convolutional neural network for training Furthermore, multi-scale crit...

The feature dimension and redundancy can reduce the face recognition speed and rate, the shading and light changing can heavily affect the face recognition effect. So the first key to face recognition is how to effectively extract face features because the face image contains a lot of redundant information. Multi-wavelet transform has symmetry, orthogonality, compact support and high vanishing ...