Results 51 to 60 of about 418,765 (278)
Memristive Physical Reservoir Computing
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
Three-channel dependent mid/side coding framwork for multichannel 3D audio
The conventional mid/side coding method is discussed and generalized to a three-channel dependent M/S cod-ing (3D-M/S) method. Moreover, a codec framework based on 3D-M/S is proposed which enables the 3D-M/S to work for three-dimensional audio systems ...
Shi DONG +4 more
doaj +2 more sources
A Low Bit Rate Audio Coder based on Segmental Sinusoidal Model [PDF]
Audio signal information with high quality would help the television audience to increase the perception of the information displayed. Transmission channel capacity will become limited, while the need of channel communication is increased.
budisetiawan, florentinus
core
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Frequency-warped autoregressive modeling and filtering [PDF]
This thesis consists of an introduction and nine articles. The articles are related to the application of frequency-warping techniques to audio signal processing, and in particular, predictive coding of wideband audio signals.
Härmä, Aki
core
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Time domain synchronisation estimation algorithm for FBMC vector signal analysis in 5G system
For the challenges of filter bank multi-carrier (FBMC) test applications in the fifth-generation mobile communication network (5G) system, presented is a time domain synchronisation estimation algorithm based on power synchronisation in frequency domain.
Yunzhi Ling, Yu Zhang, Lantian Xu
doaj +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Stethoscope with digital frequency translation for improved audibility
The performance of an acoustic stethoscope is improved by translating, without loss of fidelity, heart sounds, chest sounds, and intestinal sounds below 50 Hz into a frequency range of 200 Hz, which is easily detectable by the human ear. Such a frequency
Herbert M. Aumann, Nuri W. Emanetoglu
doaj +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source

