Abstract: In this paper, we address the problem of denoising polynomial phase signals (PPS) by removing additive white Gaussian noise. Our approach is based on sparse representation using a trained ...
BM25 is a probabilistic ranking algorithm that calculates relevance scores between queries and documents based on term frequency and inverse document frequency. This library's implementation produces ...
MATLAB is a high-performance language and interactive environment used by millions of engineers and scientists worldwide for technical computing, data analysis, algorithm development, and ...
ABSTRACT: Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the ...
Abstract: Multikernel sparse representation (SR) algorithms have made much progress in synthetic aperture radar automatic target recognition (SAR ATR) tasks. These algorithms usually combine all the ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Different molecular representations exist to provide visual and mathematical means to ...
This paper examines Quantum Image Representation Algorithms (QIRA), which have significantly advanced the encoding and manipulation of visual data using quantum computing. It explores key developments ...
To broaden the effective frequency bandwidth of seismic data and enhance its resolution, we investigate the high-resolution reconstruction method grounded in compressed sensing sparse theory, ...
Institute of Natural Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, China Institute of Natural Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, China Department of ...
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