Results 201 to 210 of about 4,895 (259)

Non‐Hermitian Stealthy Hyperuniformity

Advanced Science, EarlyView.
A framework for non‐Hermitian extensions of hyperuniformity and stealthiness is proposed, generalizing PT‐symmetric gain‐loss crystals to correlated disorder in the weak‐scattering limit. By engineering real‐imaginary correlations of the material potential, this framework enables directional scattering phases inaccessible in Hermitian materials ...
Gitae Lee, Seungmok Youn, Ikbeom Lee, Kunwoo Park, Duhwan Hwang, Seungkyun Park, Xianji Piao, Namkyoo Park, Sunkyu Yu   +8 more
wiley   +1 more source

A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering. [PDF]

Sci Rep
Tao X, Ben M, Xuan HCY, Arshaghi A.
europepmc   +1 more source

Concrete Crack Detection in Extremely Dark Environments Based on Infrared-Visible Multi-Level Registration Fusion and Frequency Decoupling. [PDF]

Sensors (Basel)
Li Z, Xie W, Xiang B.
europepmc   +1 more source

Interference-aware frequency-agile onboard processor using fine-grained multilevel analysis-synthesis filter-bank channelization. [PDF]

Sci Rep
Sarkar S, Das A, Mishra D, Gupta A.
europepmc   +1 more source

Power quality disturbance identification using hybrid deep learning in renewable energy systems. [PDF]

Sci Rep
Peruman PM, Ayyar K.
europepmc   +1 more source

S2SWCLIP: semantic-optimized prompts with spatial-wavelet synergy for zero-shot anomaly detection. [PDF]

Sci Rep
Zhang H, Wu C, Lu J, Jing M.
europepmc   +1 more source

Deep learning for sports motion recognition with a high-precision framework for performance enhancement. [PDF]

Sci Rep
Yang Y, Mohammadzadeh F, Khishe M, Ahmed AN, Abualhaj MM, Ghazal TM.   +5 more
europepmc   +1 more source

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Discrete Lattice Wavelet Transform

IEEE Transactions on Circuits and Systems II: Express Briefs, 2007
The discrete wavelet transform (DWT) has gained a wide acceptance in denoising and compression coding of images and signals. In this work we introduce a discrete lattice wavelet transform (DLWT). In the analysis part, the lattice structure contains two parallel transmission channels, which exchange information via two crossed lattice filters.
Olkkonen, H., Olkkonen, Juuso
openaire   +3 more sources

Discrete wavelet transforms in VLSI

[1992] Proceedings of the International Conference on Application Specific Array Processors, 2003
Three architectures, based on linear systolic arrays, for computing the discrete wavelet transform, are described. The AT/sup 2/ lower bound for computing the DWT in a systolic model is derived and shown to be AT/sup 2/= Omega (N/sup 2/N/sub w/k). Two of the architectures are within a factor of log N from optimal, but they are of practical importance ...
Mohan Vishwanath, Robert Michael Owens, Mary Jane Irwin   +2 more
openaire   +1 more source