Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
wiley +1 more source
Research on Software Optimization for Discrete Fourier Test
Random sequences are critical to cryptographic technologies and applications. Randomness testing typically employs probabilistic statistical techniques for evaluating the randomness properties of such sequences.
Xianwei Yang, Lan Wang
doaj +1 more source
A RADIX-4/8/SPLIT RADIX FFT WITH REDUCED ARITHMETIC COMPLEXITY ALGORITHM [PDF]
In this paper we present alternate form of Radix-4/8 and split radix FFT’s based on DIF (decimation in frequency) version and discuss their implementation issues that further reduces the arithmetic complexity of power-of-two discrete Fourier Transform ...
Shaik Qadeer +2 more
doaj
Multiplicative complexity of the two-dimensional discrete Fourier transform DFT (2 n ; 2)
The authors extend known results of multiplicative complexity from Winograd, Auslander, Heideman, etc. to the two-dimensional discrete Fourier transform \(DFT(2^ n,2)\). They show that the \(DFT(2^ n,2)\) can be transformed into a series of distinct second versions of the discrete cosine transform (DCT).
Ma, W., Yang, D.
openaire +1 more source
Molecular Rectification: Mechanisms, Modulation Strategies, and Device Realization
This review focuses on molecular rectification, from its fundamental mechanisms and modulation strategies to device realization. It summarizes the theoretical framework, modulation strategies, fabrication techniques, characterization methods, and modeling and simulation of molecular rectifiers, while discussing challenges and future directions for ...
Junnan Guo +8 more
wiley +1 more source
PRISM, a Bidirectional NMR Foundation Model: From Peak List to Structure and Back
Structure elucidation from NMR can consume an expert for hours or even days. PRISM addresses this with a bidirectional transformer trained on 1.19 M real experimental spectra: it translates 1H and 13C peak lists into structures with 60.1% stereo‐aware top‐1 accuracy (72.5% stereo‐unaware), and, working in reverse, predicts spectra back from structures,
Ajnabiul Hoque, Frank Glorius
wiley +2 more sources
Spectrum analysis of digital UPWM signals generated from random modulating signals
This work studies the spectrum of discrete-time Uniform-sampling pulse width modulation (UPWM) signals originating from stochastic input signals. It demonstrates that for ergodic input sequences of independent and identically distributed random variables,
Konstantinos Kaleris +2 more
doaj +1 more source
AI‐EXAFS: Physics‐Informed Prediction of EXAFS from Atomic Structure
AI‐EXAFS presents a neural network to reproduce EXAFS. Trained on synthetic data and with a careful selection of the settings both for the physical representation of the system and following the experimental heuristic loss functions, the model is capable of reproducing EXAFS spectra for molecules from the tridimensional structure.
Javier Heras‐Domingo +6 more
wiley +1 more source
DCT/DST-based frequency modulated-OFDM
Among the recent advancements in waveform design for wireless communication, the frequency-modulated orthogonal frequency-division multiplexing (FM-OFDM) has gained attention due to its resilience to phase noise and Doppler spread, as well as its zero-dB
Gosan Noh +3 more
doaj +1 more source
Efficient and Secure Outsourcing of DFT, IDFT, and Circular Convolution
Discrete Fourier transform (DFT), inverse DFT (IDFT), and circular convolution are important tools for analyzing and designing discrete signals and systems, and are widely used in various industries.
Xiangli Xiao +3 more
doaj +1 more source

