Results 31 to 40 of about 9,664,784 (224)
MIMO detection in analog VLSI [PDF]
In this paper we propose an analog VLSI approach to maximum a posteriori (MAP) detection in multiple-input multiple-output (MIMO) systems. This detector can be seen as an extension of the well known analog decoding concept for error correcting codes, as ...
McNamara, DP +7 more
core +1 more source
Convolutional neural networks (CNNs) based deep learning algorithms require high data flow and computational intensity. For real-time industrial applications, they need to overcome challenges such as high data bandwidth requirement and power consumption ...
Shuai Li +4 more
doaj +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Analysis and Design of
Continuous-time delta-sigma modulators (CT DSMs) have been widely adopted in IoT and sensor applications. Despite the merits of the inherent anti-alias property and easy-driving resistive input, CT DSMs always suffer from the RC variation issue.
Zhaonan Lu +4 more
doaj +1 more source
SEMI-CUSTOM DESIGN OF MULTIPLY-ACCUMULATE UNIT [PDF]
In this research work, a novel approach to design a low-power 16-bit Multiply-Accumulate (MAC) unit for deep neural network (DNN) accelerators is presented. The approach integrates the Karatsuba Algorithm, Vedic multiplier using Urdhva Tiryagbhyam Sutra,
Christopher C R , Umadevi S
doaj +1 more source
Abstract Representation of Movement Parameters in Basal Ganglia Output
The basal ganglia output provides a scalable velocity/position signal across behavioral contexts, supporting the idea that these variables are represented in the brain as abstract entities rather than as fixed changes in joint angles or specific sets of body effectors.
Ana Silvia Báez‐Cordero +3 more
wiley +1 more source
Objective: investigation of the extra-low-frequency (ELF) stimulation effect on blood-cell proteins, that causes variation in its electrostatic-state.
Ibtisam A. Abbas Al-Darkazly +1 more
doaj +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
The comparator plays a vital role in analog-to-digital converters. In the emerging communication era, these converters are useful to connect the analog field to the digital field.
Tejender Singh, Suman Lata Tripathi
doaj +1 more source
Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis
Stomach bleeding is a kind of gastrointestinal disease which can be diagnosed noninvasively by wireless capsule endoscopy (WCE). However, it requires much time for physicians to scan large amount of WCE images.
Hongda Chen +3 more
doaj +1 more source

