This paper introduces the Recovery design pattern. The pattern presents an abstract design model that helps in the designing the recovery problem independent of a specific application. This pattern has been developed based on the concepts of Stable Design Patterns. Stable design patterns are built based on the concepts of software stability introduced in [5,6,and 7].

In this paper a design pattern for Object Recovery is described. The Customizable Object Recovery pattern defines a generic object recovery algorithm. It decouples the recovery part from the object’s functional part. Different policies can be supported: update-in-place, deferred-update, copy and compensating. The Customizable Object Recovery pattern isolates recovery from persistence and object...

Hyperspectral imaging (HSI) has been used in a wide range of applications recent years. But the process image acquisition, hyperspectral images are subject to various types noise interference. Noise reduction algorithms can be enhance quality and make it easier detect analyze features interest. To realize better recovery, we propose weighted group sparsity-regularized low-rank tensor ring decom...

Randomized stepped frequency radar (RSFR) is very attractive for tasks under complex electromagnetic environment. Due to the synthetic high range resolution in RSFRs, a target usually occupies series of cells and called an extended target. To reconstruct range-Doppler information RSFR, previous studies based on sparse recovery mainly exploit sparsity scene but do not adequately address extended...

Introduction: The recently introduced Compressed Sensing (CS) theory promises to accelerate data acquisition in magnetic resonance imaging (MRI) [1-3]. One of the important requirements in CS MRI is that the image has a sparse representation. This sparse representation is crucial for successful recovery in CS. Generally speaking, sparser representations yield improved performance in terms of ei...

The notion of signal sparsity has been gaining increasing interest in information theory and signal processing communities. Recent advances in fields like signal compression, sampling and analysis have accentuated the crucial role of sparse representations of signals. As a consequence, there is a strong need to measure sparsity and towards this end, a plethora of metrics has been presented in t...

Architectural patterns and styles represent important design decisions and thus are valuable abstractions for architecture recovery. Recognizing them is a challenge because styles and patterns basically span several architectural elements and can be implemented in various ways depending on the problem domain and the implementation variants. Our approach uses source code structures as patterns a...

Abstract. An interesting phenomenon about phyllotaxis is the divergence angle between two consecutive primordia. In this paper, we consider a dynamic model based on Max-Min principle for generating 2D phyllotactic patterns studied in [2, 5]. Under the hypothesis that the influence of the two predecessors is enough to fix the birth place of the new generated primordium, analysis and numerical ex...