Results 71 to 80 of about 298,825 (343)
A digital-controlled adaptive self-interference cancellation system with capabilities of high interference cancellation ratio and strong environmental applicability is presented.
Jinling Xing +4 more
doaj +1 more source
Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source
Comparative Study of Wideband Speech Spectral Quantization Schemes
In this treatise a range of Line Spectrum Frequency (LSF) Vector Quantization (VQ) schemes were studied comparatively, which were designed for wideband speech codecs. Both predictive arrangements and memoryless schemes were investigated.
Guibé, G, How, H T, Hanzo, L
core +1 more source
Convolution Smooth: A Post-Training Quantization Method for Convolutional Neural Networks
Convolutional neural network (CNN) quantization is an efficient model compression technique primarily used for accelerating inference and optimizing resources.
Yongyuan Chen, Zhendao Wang
doaj +1 more source
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
Advances in Pruning and Quantization for Natural Language Processing
With ongoing advancements in natural language processing (NLP) and deep learning methods, the demand for computational and memory resources has considerably increased, which signifies the determination of efficient and compact models in resource ...
Ummara Bibi +7 more
doaj +1 more source
On the Quantization of AB Phase in Nonlinear Systems
Self-intersecting energy band structures in momentum space can be induced by nonlinearity at the mean-field level, with the so-called nonlinear Dirac cones as one intriguing consequence.
Xi Liu, Qing-Hai Wang, Jiangbin Gong
doaj +1 more source
HAQ: Hardware-Aware Automated Quantization With Mixed Precision [PDF]
Model quantization is a widely used technique to compress and accelerate deep neural network (DNN) inference. Emergent DNN hardware accelerators begin to support mixed precision (1-8 bits) to further improve the computation efficiency, which raises a ...
Kuan Wang +4 more
semanticscholar +1 more source
Forward‐Biased Perovskite Photodiodes for In‐Sensor Optical Change Sensing
A forward‐biased perovskite photodiode is introduced as an in‐sensor analog preprocessing unit that uses current balancing between photocurrent and injection current to generate optical changes relative to programmable optical reference levels. The device directly converts reference‐relative optical changes into bipolar current signals, enabling sensor‐
Eungseon Yeon +14 more
wiley +1 more source
Universal Conductance Fluctuations in Quantum Anomalous Hall Insulators
Universal conductance fluctuations are observed in mesoscopic quantum anomalous Hall insulators. Two distinct fluctuation patterns are identified, arising from different interference processes of bulk and chiral edge states, respectively. These findings unveil rich quantum interference phenomena in quantum anomalous Hall insulators and provide insights
Peng Deng +11 more
wiley +1 more source

