Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Li, Bing Zhao"'
Autor:
Xu, Yi-Qiao, Li, Bing-Zhao
We present a new Clifford-valued linear canonical Stockwell transform aimed at providing efficient and focused representation of Clifford-valued functions in high-dimensional time-frequency analysis. This transform improves upon the windowed Fourier
Externí odkaz:
http://arxiv.org/abs/2412.00013
Autor:
Linghua, Rong-Qian, Li, Bing-Zhao
This paper aims to develop an innovative method for harmonic analysis by introducing the linear canonical Jacobi-Dunkl transform (LCJDT), which integrates both the Jacobi-Dunkl transform (JDT) and the linear canonical transform (LCT). Firstly, the ke
Externí odkaz:
http://arxiv.org/abs/2409.18979
Autor:
Chen, Jian Yi, Li, Bing Zhao
This paper proposes a graph linear canonical transform (GLCT) by decomposing the linear canonical parameter matrix into fractional Fourier transform, scale transform, and chirp modulation for graph signal processing. The GLCT enables adjustable smoot
Externí odkaz:
http://arxiv.org/abs/2407.12046
Autor:
Xu, Yi-Qiao, Li, Bing-Zhao
Following the idea of the fractional space-time Fourier transform, a linear canonical space-time transform for 16-dimensional space-time $C\ell_{3,1}$-valued signals is investigated in this paper. First, the definition of the proposed linear canonica
Externí odkaz:
http://arxiv.org/abs/2405.10990
Autor:
Zhang, Yu, Li, Bing-Zhao
With an increasing influx of classical signal processing methodologies into the field of graph signal processing, approaches grounded in discrete linear canonical transform have found application in graph signals. In this paper, we initially propose
Externí odkaz:
http://arxiv.org/abs/2403.19660
Autor:
Zhang, Yu, Li, Bing-Zhao
Graph signal processing (GSP) leverages the inherent signal structure within graphs to extract high-dimensional data without relying on translation invariance. It has emerged as a crucial tool across multiple fields, including learning and processing
Externí odkaz:
http://arxiv.org/abs/2403.10527
Autor:
Zhao, Hui, Li, Bing-Zhao
The polar wavelet transform (PWT) has been proven to be a powerful mathematical tool for signal and image processing in recent years. Due to the increasing demand for directional representations of signals in engineering, it is impossible to fully ex
Externí odkaz:
http://arxiv.org/abs/2312.06702
Autor:
Zhang, Yu, Li, Bing-Zhao
With the wide application of spectral and algebraic theory in discrete signal processing techniques in the field of graph signal processing, an increasing number of signal processing methods have been proposed, such as the graph Fourier transform, gr
Externí odkaz:
http://arxiv.org/abs/2209.12980
Autor:
Zhao, Hui, Li, Bing-Zhao
The free metaplectic transformation (FMT) is widely used in many fields such as filter design, pattern recognition, image processing and optics. In order to obtain a more concise and intuitive convolution form, this paper studies two kinds of new con
Externí odkaz:
http://arxiv.org/abs/2206.13094