Results 41 to 50 of about 2,046,366 (281)

Characterization of Basic 5-Value Spectrum Functions Through Walsh-Hadamard Transform

open access: yesIEEE Transactions on Information Theory, 2021
The first and the third authors recently introduced a spectral construction of plateaued and of 5-value spectrum functions. In particular, the design of the latter class requires a specification of integers $\{W(u):u\in \mathbb {F}^{n}_{2}\}$ , where ...
S. Hodžić, P. Horák, E. Pasalic
semanticscholar   +1 more source

Compressive Optical Spectrometry Based on Sequency-Ordered Hadamard Transform

open access: yesIEEE Photonics Journal, 2020
We propose a compressive Hadamard transform spectrometer (CHTS) based on the energy compaction trait of the sequency-ordered Hadamard matrix (SOHM), in which the spectrum is reconstructed from compressed measurements using simple matrix multiplication ...
Yi Zhang   +3 more
doaj   +1 more source

High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing

open access: yesSensors, 2020
Spectral detection provides rich spectral–temporal information with wide applications. In our previous work, we proposed a dual-path sub-Hadamard-s snapshot Hadamard transform spectrometer (Sub-s HTS).
Hui Xie   +4 more
doaj   +1 more source

Hadamard transform-based hyperspectral imaging using a single-pixel detector.

open access: yesOptics Express, 2020
In this paper, a single-pixel hyperspectral imager is developed based on the Hadamard transformation. The imager's design, fabrication, signal processing method, and experimental results are discussed.
Qi Yi   +5 more
semanticscholar   +1 more source

Speech Encryption Algorithm Based on Nonorthogonal Quantum State with Hyperchaotic Keystreams

open access: yesAdvances in Mathematical Physics, 2020
With the advancement in modern computational technologies like cloud computing, there has been tremendous growth in the field of data processing and encryption technologies. In this contest there is an increasing demand for successful storage of the data
F. J. Farsana, K. Gopakumar
doaj   +1 more source

Hadamard transform imaging [PDF]

open access: yes, 1992
We have constructed a Hadamard transform Raman microscopic imaging system, and have developed it to a high definition (64K pixel) technique. We have demonstrated multispectral Raman imaging and developed the first three-dimensional (digital confocal) Raman imaging. We have explored the systematic errors in Hadamard multiplexing techniques and developed
openaire   +3 more sources

A Characterization of Generalized Boolean Functions Employed in CDMA Communications [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences
In design of secure cryptosystems and CDMA communications, the negabent functions play a significant role. The generalized Boolean functions have been extensively studied by Schmidt and established several important results in this setup.
Deep Singh   +3 more
doaj   +1 more source

Miniaturized Single‐Photon Level Computational Complex Field Imaging System via Meta‐Optics

open access: yesAdvanced Optical Materials, EarlyView.
8192 Hadamard mask patterns generated by the digital micromirror device (DMD) are projected onto a micro target sample via a metalens. The corresponding modulated intensity spectrum encoded with the spatial information of the target is then captured by a photomultiplier tube (PMT) at the Fourier plane to recover both the amplitude and phase images ...
Yuhao Wang   +10 more
wiley   +1 more source

Transformer Encoder–Decoder Framework for Nonlinear Pulse Evolution and Inverse Modeling

open access: yesAdvanced Photonics Research, EarlyView.
Modeling nonlinear pulse evolution in optical systems is key to advancing photonic technologies. A transformer‐based encoder‐decoder framework is proposed for both forward and inverse modeling, applied to supercontinuum generation. This approach captures complex dynamics efficiently, outperforming traditional methods in speed.
Dinesh Kumar Murugan   +2 more
wiley   +1 more source

Genetic Deconvolution of Embryonic and Maternal Cell‐Free DNA in Spent Culture Medium of Human Preimplantation Embryo Through Deep Learning

open access: yesAdvanced Science, EarlyView.
DECENT is a deep learning method that enhances noninvasive preimplantation genetic testing by accurately reconstructing embryonic copy number variations (CNVs) from cell‐free DNA in spent embryo culture media. By mitigating maternal contamination, DECENT improves diagnostic accuracy, even with high contamination levels, offering a reliable, noninvasive
Zhenyi Zhang   +3 more
wiley   +1 more source

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