Results 191 to 200 of about 1,624,283 (243)
Adult human organotypic cortical slices undergo marked neuronal loss, laminar disruption, and glial activation, yet their network activity progressively stabilizes after a variable period. Electrophysiology, longitudinal calcium imaging, and quantitative histology show that structurally remodeled human circuits show adaptive capacity resulting in ...
Estilla Zsófia Tóth +20 more
wiley +1 more source
This work presents a clinically deployable simultaneous PET/MRI workflow which integrates hyperpolarized 13C imaging of metabolism and extracellular pH with [18F]FMISO PET to characterize hypoxia, acidosis, and metabolic reprogramming in feline sarcoma.
Martin Grashei +17 more
wiley +1 more source
Teaching Digital Noise and Noise Margin Issues in Engineering Education
This work presents digital noise in signal integrity and clarifies noise margin issues in digital electronics education. For the static noise margin, the traditional definition violates the basic principle of noise. The embedded rectangle method to define the static noise margin is a more reliable criterion.
J S Yuan
exaly +5 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017
Margin noise removal is an important step prior to segmentation and optical character recognition (OCR) of a page. Presence of this noise results in erroneous output by the segmentation algorithms and OCR systems. In this paper, we present a margin noise removal dataset MarNR.
Shamik Sural +2 more
exaly +2 more sources
Margin noise removal is an important step prior to segmentation and optical character recognition (OCR) of a page. Presence of this noise results in erroneous output by the segmentation algorithms and OCR systems. In this paper, we present a margin noise removal dataset MarNR.
Shamik Sural +2 more
exaly +2 more sources
Dynamic Noise Margin: Definitions and Model
17th International Conference on VLSI Design. Proceedings., 2004Dynamic noise analysis is greatly needed in place of traditional static noise analysis due to the ever increasingly stringent design requirement for VLSI chips based on very deep submicron process technology. In this paper, we propose complete and self-consistent dynamic noise margin definitions to reduce the pessimism of conventional static noise ...
Pinaki Mazumder
exaly +3 more sources
Modeling and Analysis of Noise Margin in SET Logic
In this paper the static noise margin for SET (single electron transistor) logic is defined and compact models for the noise margin are developed by making use of the MIB (Mahapatra-Ionescu-Banerjee) model. The variation of the noise margin with temperature and background charge is also studied.
Chaitanya Sathe, Santanu Mahapatra
openaire +3 more sources
Transient Noise Failures in SRAM Cells: Dynamic Noise Margin Metric
Current nanometric IC processes need to assess the robustness of memories under any possible source of disturbance: process and mismatch variations, bulk noises, supply rings variations, temperature changes, aging and environmental aggressions such as RF or on-chip couplings.
Vatajelu, Elena Ioana +3 more
openaire +4 more sources
Noise Margin Criteria for Digital Logic Circuits
IEEE Transactions on Education, 1993Techniques for evaluating the noise margin for families of digital logic circuits are discussed and evaluated. It is shown that the technique of evaluating the -1 slope points on the inverter transfer function as used in most modern textbooks is not a valid and reliable approach to evaluating noise margin values. It is argued that the most reliable and
J R Hauser
exaly +2 more sources
Static and Dynamic Noise Margins of Logic Circuits
IEEE Journal of Solid-State Circuits, 1979Explaining four basic types of noise, and by showing the various methods, together with boundary conditions, which can be used to find the worst case noise margins. A flip-flop setup is advised which can be used for measurements and computer simulations, both for static and dynamic noise margins.
J Lohstroh
exaly +2 more sources
Noise-Margin Analysis for Organic Thin-Film Complementary Technology
Parameter variation in organic thin-film transistor (OTFT) technology is known to limit the yield of digital circuits. It is expected that complementary OTFT technology (C-TFT) will reduce the sensitivity to parameter variations.
Cédric Rolin +2 more
exaly +3 more sources

