scholarly journals VLSI Architectures for Image Interpolation: A Survey

VLSI Design ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
C. John Moses ◽  
D. Selvathi ◽  
V. M. Anne Sophia
Keyword(s):  
Large Scale ◽  
Piecewise Linear ◽  
Complementary Metal Oxide Semiconductor ◽  
Image Interpolation ◽  
Hardware Architecture ◽  
Oxide Semiconductor ◽  
Weighting Coefficient ◽  
Vlsi Architectures ◽  
Different Types ◽  
Memory Buffer

Image interpolation is a method of estimating the values at unknown points using the known data points. This procedure is used in expanding and contrasting digital images. In this survey, different types of interpolation algorithm and their hardware architecture have been analyzed and compared. They are bilinear, winscale, bi-cubic, linear convolution, extended linear, piecewise linear, adaptive bilinear, first order polynomial, and edge enhanced interpolation architectures. The algorithms are implemented for different types of field programmable gate array (FPGA) and/or by different types of complementary metal oxide semiconductor (CMOS) technologies like TSMC 0.18 and TSMC 0.13. These interpolation algorithms are compared based on different types of optimization such as gate count, frequency, power, and memory buffer. The goal of this work is to analyze the different very large scale integration (VLSI) parameters like area, speed, and power of various implementations for image interpolation. From the survey followed by analysis, it is observed that the performance of hardware architecture of image interpolation can be improved by minimising number of line buffer memory and removing superfluous arithmetic elements on generating weighting coefficient.

Review: Static and Dynamic Analysis Methods for Multi-Branch Biasing Circuits

2018 ◽  
Vol 27 (13) ◽  
pp. 1830008
Author(s):  
Jin Wu ◽  
Pengfei Dai ◽  
Jie Peng ◽  
Lixia Zheng ◽  
Weifeng Sun
Keyword(s):  
Feedback Loop ◽  
Supply Voltage ◽  
Complementary Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Critical Parameters ◽  
Cmos Process ◽  
Stable Equilibrium Point ◽  
Static And Dynamic Analysis ◽  
Text Structures ◽  
Different Types

The fundamental theories and primary structures for the multi-branch self-biasing circuits are reviewed in this paper. First, the [Formula: see text]/[Formula: see text] and [Formula: see text]/[Formula: see text] structures illustrating the static current definition mechanism are presented, including the conditions of starting up and entering into a stable equilibrium point. Then, the AC method based on the loop gain evaluation is utilized to analyze different types of circuits. On this basis, the laws which can couple the branches of self-biasing circuits to construct a suitable close feedback loop are summarized. By adopting Taiwan Semiconductor Manufacturing Company (TSMC)’s 0.18[Formula: see text][Formula: see text]m complementary metal–oxide–semiconductor (CMOS) process with 1.8[Formula: see text][Formula: see text] supply voltage, nearly all the circuits mentioned in the paper are simulated in the same branch current condition, which is close to the corresponding calculated results. Therefore, the methods summarized in this paper can be utilized for distinguishing, constructing, and optimizing critical parameters for various structures of the self-biasing circuits.

Ultrasensitive broadband photodetectors based on two-dimensional Bi2O2Te films

2021 ◽  
Author(s):  
Pin Tian ◽  
Hongbo Wu ◽  
Libin Tang ◽  
Jinzhong Xiang ◽  
Rongbin Ji ◽  
...  
Keyword(s):  
Large Scale ◽  
2D Materials ◽  
Complementary Metal Oxide Semiconductor ◽  
Cmos Technology ◽  
Photocurrent Density ◽  
Short Wave ◽  
Oxide Semiconductor ◽  
Light Illumination ◽  
Two Dimensional ◽  
Weak Light

Abstract Two-dimensional (2D) materials exhibit many unique optical and electronic properties that are highly desirable for application in optoelectronics. Here, we report the study of photodetector based on 2D Bi2O2Te grown on n-Si substrate. The 2D Bi2O2Te material was transformed from sputtered Bi2Te3 ultrathin film after rapid annealing at 400 ℃ for 10 min in air atmosphere. The photodetector was capable of detecting a broad wavelength from 210 nm to 2.4 μm with excellent responsivity of up to 3x105 and 2x104 AW-1, and detectivity of 4x1015 and 2x1014 Jones at deep ultraviolet (UV) and short-wave infrared (SWIR) under weak light illumination, respectively. The effectiveness of 2D materials in weak light detection was investigated by analysis of the photocurrent density contribution. Importantly, the facile growth process with low annealing temperature would allow direct large-scale integration of the 2D Bi2O2Te materials with complementary metal-oxide–semiconductor (CMOS) technology.

scholarly journals Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations

Materials ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 2745 ◽  
Author(s):  
Luis Camuñas-Mesa ◽  
Bernabé Linares-Barranco ◽  
Teresa Serrano-Gotarredona
Keyword(s):  
Neural Networks ◽  
Learning Strategies ◽  
Large Scale ◽  
Sensory Information ◽  
Complementary Metal Oxide Semiconductor ◽  
Cmos Technology ◽  
Oxide Semiconductor ◽  
Hardware Implementations ◽  
Learning Capabilities ◽  
Promising Solution

Inspired by biology, neuromorphic systems have been trying to emulate the human brain for decades, taking advantage of its massive parallelism and sparse information coding. Recently, several large-scale hardware projects have demonstrated the outstanding capabilities of this paradigm for applications related to sensory information processing. These systems allow for the implementation of massive neural networks with millions of neurons and billions of synapses. However, the realization of learning strategies in these systems consumes an important proportion of resources in terms of area and power. The recent development of nanoscale memristors that can be integrated with Complementary Metal–Oxide–Semiconductor (CMOS) technology opens a very promising solution to emulate the behavior of biological synapses. Therefore, hybrid memristor-CMOS approaches have been proposed to implement large-scale neural networks with learning capabilities, offering a scalable and lower-cost alternative to existing CMOS systems.

scholarly journals A Smart Floating Gate Transistor with Two Control Gates for Active Noise Control

Micromachines ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 722
Author(s):  
Mao ◽  
Yang ◽  
Ma ◽  
Yan ◽  
Zhang
Keyword(s):  
Large Scale ◽  
Noise Control ◽  
Low Cost ◽  
Active Noise Control ◽  
Complementary Metal Oxide Semiconductor ◽  
Floating Gate ◽  
Oxide Semiconductor ◽  
Cmos Process ◽  
Active Noise ◽  
Floating Gate Transistor

A smart floating gate transistor with two control gates was proposed for active noise control in bioelectrical signal measurement. The device, which is low cost and capable of large-scale integration, was implemented in a standard single-poly complementary metal–oxide–semiconductor (CMOS) process. A model of the device was developed to demonstrate the working principle. Theoretical analysis and simulation results proved the superposition of the two control gates. A series of test experiments were carried out and the results showed that the device was in accordance with the basic electrical characteristics of a floating gate transistor, including the current–voltage (I–V) characteristics and the threshold characteristics observed on the two control gates. Based on the source follower circuit, the experimental results proved that the device can reduce interference by more than 29 dB, which demonstrates the feasibility of the proposed device for active noise control.

scholarly journals High-speed programmable photonic circuits in a cryogenically compatible, visible–near-infrared 200 mm CMOS architecture

2021 ◽  
Author(s):  
Mark Dong ◽  
Genevieve Clark ◽  
Andrew J. Leenheer ◽  
Matthew Zimmermann ◽  
Daniel Dominguez ◽  
...  
Keyword(s):  
Integrated Circuits ◽  
Power Consumption ◽  
High Speed ◽  
Large Scale ◽  
Near Infrared ◽  
Response Times ◽  
Photonic Integrated Circuits ◽  
Complementary Metal Oxide Semiconductor ◽  
Phase Shifters ◽  
Oxide Semiconductor

AbstractRecent advances in photonic integrated circuits have enabled a new generation of programmable Mach–Zehnder meshes (MZMs) realized by using cascaded Mach–Zehnder interferometers capable of universal linear-optical transformations on N input/output optical modes. MZMs serve critical functions in photonic quantum information processing, quantum-enhanced sensor networks, machine learning and other applications. However, MZM implementations reported to date rely on thermo-optic phase shifters, which limit applications due to slow response times and high power consumption. Here we introduce a large-scale MZM platform made in a 200 mm complementary metal–oxide–semiconductor foundry, which uses aluminium nitride piezo-optomechanical actuators coupled to silicon nitride waveguides, enabling low-loss propagation with phase modulation at greater than 100 MHz in the visible–near-infrared wavelengths. Moreover, the vanishingly low hold-power consumption of the piezo-actuators enables these photonic integrated circuits to operate at cryogenic temperatures, paving the way for a fully integrated device architecture for a range of quantum applications.

scholarly journals Nanowire systems: technology and design

2014 ◽  
Vol 372 (2012) ◽  
pp. 20130102 ◽  
Author(s):  
Pierre-Emmanuel Gaillardon ◽  
Luca Gaetano Amarù ◽  
Shashikanth Bobba ◽  
Michele De Marchi ◽  
Davide Sacchetto ◽  
...  
Keyword(s):  
Large Scale ◽  
Field Effect Transistors ◽  
Complementary Metal Oxide Semiconductor ◽  
Logic Gates ◽  
Expressive Power ◽  
Oxide Semiconductor ◽  
Exclusive Or ◽  
20 Nm ◽  
Regular Arrays ◽  
Independent Gate

Nanosystems are large-scale integrated systems exploiting nanoelectronic devices. In this study, we consider double independent gate, vertically stacked nanowire field effect transistors (FETs) with gate-all-around structures and typical diameter of 20 nm. These devices, which we have successfully fabricated and evaluated, control the ambipolar behaviour of the nanostructure by selectively enabling one type of carriers. These transistors work as switches with electrically programmable polarity and thus realize an exclusive or operation. The intrinsic higher expressive power of these FETs, when compared with standard complementary metal oxide semiconductor technology, enables us to realize more efficient logic gates, which we organize as tiles to realize nanowire systems by regular arrays. This article surveys both the technology for double independent gate FETs as well as physical and logic design tools to realize digital systems with this fabrication technology.

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