Results 21 to 30 of about 12,652 (226)

Configurable Analog-Digital Conversion Using the Neural EngineeringFramework

open access: yesFrontiers in Neuroscience, 2014
Efficient Analog-Digital Converters (ADC) are one of the mainstays of mixed-signal integrated circuit design. Besides the conventional ADCs used in mainstream ICs, there have been various attempts in the past to utilize neuromorphic networks to ...
Christian G Mayr   +3 more
doaj   +1 more source

An ADC-Aware Receiver Design for Multi-User MIMO Underlay System With Strong Cyclostationary Legacy Signal

open access: yesIEEE Access, 2023
In this paper, we design a receiver (RX) for a multi-user multiple-input multiple-output (MU-MIMO) underlay system in the presence of a strong cyclostationary legacy signal.
Joohee Chae, Joon Ho Cho
doaj   +1 more source

When Less Is More $\ldots$ Few Bit ADCs in RF Systems

open access: yesIEEE Access, 2019
Digitizing RF signals using few bit ADCs can provide system advantages in terms of reduced power dissipation, wider sampling bandwidth, and decreased demand for digital throughput. The diversity of established applications based on few bit ADCs, together
Christopher T. Rodenbeck   +5 more
doaj   +1 more source

Error Correction Method of TIADC System Based on Parameter Estimation of Identification Model

open access: yesApplied Sciences, 2022
The performance of analog-to-digital converters (ADCs) has reached a bottleneck due to the limitations of the manufacturing process and testing environment.
Ning Sun   +8 more
doaj   +1 more source

Analysis and study of powerefficient sar adc for active rfid sensor [PDF]

open access: yes, 2021
This thesis introduced an energy-efficient successive-approximation-register (SAR) analog-to-digital converter (ADC) specialized to the active sensors for low-power radio frequency identification (RFID) tag system. As part of the Internet of Things (IoT)
Ahmad Azzreen, Dalawi
core  

Are We There Yet? The Value of Deep Learning in a Multicenter Setting for Response Prediction of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiotherapy

open access: yesDiagnostics, 2022
This retrospective study aims to evaluate the generalizability of a promising state-of-the-art multitask deep learning (DL) model for predicting the response of locally advanced rectal cancer (LARC) to neoadjuvant chemoradiotherapy (nCRT) using a ...
Barbara D. Wichtmann   +8 more
doaj   +1 more source

Partial Sum Quantization for Reducing ADC Size in ReRAM-based Neural Network Accelerators

open access: yes, 2023
While ReRAM (Resistive Random-Access Memory) crossbar arrays have the potential to significantly accelerate DNN (Deep Neural Network) training through fast and lowcost matrix-vector multiplication, peripheral circuits like ADCs (analog-to-digital ...
Azamat, Azat   +3 more
core   +1 more source

Gaussian Multiple Access Channels with One-Bit Quantizer at the Receiver †,‡

open access: yesEntropy, 2018
The capacity region of a two-transmitter Gaussian multiple access channel (MAC) under average input power constraints is studied, when the receiver employs a zero-threshold one-bit analogue-to-digital converter (ADC).
Borzoo Rassouli   +2 more
doaj   +1 more source

On The Performance Of 1-Bit ADC In Massive MIMO Communication Systems

open access: yes, 2021
Massive multiple-input multiple-output (MIMO) with low-resolution analog-to-digital converters is a rational solution to deal with hardware costs and accomplish optimal energy efficiency. In particular, utilizing 1-bit ADCs is one of the best choices for
Nguyen, Thuy Van   +2 more
core   +1 more source

The dual-slope conversion improvement [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2014
The dual-slope ADC (DSADC) is a type of analog-to-digital conversion with low input bandwidths. It is pretty slow, but its ability to reject high-frequency noise and fixed low frequencies such as 50 Hz or 60 Hz makes it useful in noisy ...
Radetić Radojle   +2 more
doaj   +1 more source

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