Results 71 to 80 of about 70,937 (255)
Audio Hiding based on Wavelet Transform and Linear Predictive Coding
In this work an efficient method for hiding a speech in audio is proposed. The features of secret speech is extracted with LPC (Linear Predictive Coding), and these parameters embedded in audio in chaotic order.
Jamal Hasoon, Saad Al-Saad
doaj +1 more source
Negatively charged boron vacancy defects in hexagonal boron nitride promise near‐surface quantum sensing, but their internal spin transition rates are only partly understood. This work directly measures the defect's singlet‐state lifetime, 15(3) ns, using a nanosecond rise‐time dual‐pulse photoluminescence‐recovery method, and shows that high laser ...
Richard A. Escalante +11 more
wiley +1 more source
Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique
We present an automatic signal modulation classification model using combinatorial deep learning technique. Our proposed deep learning model increase accuracy for low Signal-to-Noise Ratio (SNR) and maintain a high classification accuracy for high SNR ...
Ziad Elkhatib +5 more
doaj +1 more source
Moderate but not high noise during training is associated with stronger generalization to quiet [PDF]
Speech learning often occurs under adverse acoustic conditions, yet learned representations are later accessed in quiet. This study asked whether word learning acquired under background noise generalizes to quiet listening and whether generalization ...
Akshay R. Maggu, Carly Furlong
doaj +1 more source
Mono‐ and bilayer MoS2 photodetectors enable wavelength‐selective AC photoresponse and optically driven capacitance modulation under visible illumination. Green excitation produces the strongest cumulative capacitive response, consistent with trap‐mediated charge accumulation at mono/bilayer and metal–MoS2 interfaces.
Pegah Zandi +5 more
wiley +1 more source
On Determination Method for Resolution of Secondary Electron Images in Scanning Electron Microscopy
An idealized SEM, termed Rayleigh's microscope, is constructed by Monte Carlo simulation to represent imaging conditions that just satisfy the Rayleigh criterion. Based on this physically defined model, sharpness–resolution conversion curves are established and combined with the Rose criterion, enabling automated resolution evaluation from practical ...
Tongfang Yang, Yanbo Zou, Zejun Ding
wiley +1 more source
Noise Modeling of the Overhauser Magnetometer
The Overhauser magnetometer (OVM) is an electron resonance-enhanced nuclear magnetic resonance (NMR) magnetometer, which significantly enhances the Larmor signal, hence the signal-to-noise ratio (SNR) and sensitivity compared to traditional proton ...
Xiaorong Gong +2 more
doaj +1 more source
Stochastic Resonance in a Multistable System Driven by Gaussian Noise
Stochastic resonance (SR) is investigated in a multistable system driven by Gaussian white noise. Using adiabatic elimination theory and three-state theory, the signal-to-noise ratio (SNR) is derived.
Peiming Shi +3 more
doaj +1 more source
Developing new standardized tools to characterize brain recording devices is critical to evaluate neural probes and for translation to clinical use. The signal-to-noise ratio (SNR) measurement is the gold standard for quantifying the performance of brain
Alex Suarez-Perez +13 more
doaj +1 more source
An adeno‐associated virus (AAV) toolkit enables selective anatomical and functional targeting of striatal D1‐MSNs through retrograde transduction. Enhanced capsids and engineered enhancers drive robust transgene expression across murine and primate models.
Zexuan Hong +14 more
wiley +1 more source

