scholarly journals Current Mirror Circuits with Improved Performance

2012 ◽  
pp. 117-122
Author(s):  
Bajrang Bansal ◽  
Prabhat Ranjan ◽  
Himanshu Kaushik
Keyword(s):  
Signal Processing ◽  
Current Mirror ◽  
Processing Elements ◽  
Current Mirrors ◽  
Op Amps ◽  
Improved Performance ◽  
Almost All

Current mirrors are core structures for almost all analog mode circuits and are integral part of a signal processing elements like op amps. The performance of analog structures largely depends on their characteristics. In this paper we present some of the current mirror circuits and analyze their performances, so that one can choose a suitable current mirror for a particular application.

scholarly journals Low-voltage, low-power and high gain cmosota using active positive feedback with feed forward and FDCM techniques

2002 ◽  
Vol 15 (1) ◽  
pp. 93-101
Author(s):  
Lyes Bouzerara ◽  
Tahar Belaroussi ◽  
Boualem Amirouche
Keyword(s):  
Positive Feedback ◽  
Low Voltage ◽  
Supply Voltage ◽  
Phase Margin ◽  
Current Mirror ◽  
Power Supply Voltage ◽  
Gain Bandwidth ◽  
Frequency Dependent ◽  
Feed Forward ◽  
Current Mirrors

A low voltage, high dc gain and wideband load compensated cas code operational transconductance amplifier (OTA), using an active positive feedback with feed forward technique and frequency-dependent current mirrors (FDCM), is presented and analyzed. Such techniques stand as a powerful method of gain bandwidth and phase margin enhancements. In this paper, a frequency-dependent current mirror, whose input impedance increases with frequency, is used to form the feed forward path at the input of the current mirror with a feed forward capacitor. By using these techniques, the gain bandwidth product of the amplifier is improved from 115 MHz to 194 MHz, the phase margin is also improved from 85? to 95? and the gain is enhanced from 11 dB to 93 dB. This amplifier operates at 2.5 V power supply voltage drives a capacitive load of 1pF and gives a power dissipation of 7 mW. The predicted performance is verified by simulations using HSPICE tool with 0.8 fim CMOS AMS parameters.

scholarly journals Static Mapping of Functional Programs: An Example in Signal Processing

1996 ◽  
Vol 5 (2) ◽  
pp. 121-135
Author(s):  
Jack B. Dennis
Keyword(s):  
Signal Processing ◽  
Program Transformation ◽  
The Other ◽  
Processing Element ◽  
Complex Signal ◽  
Massive Parallelism ◽  
Processing Elements ◽  
Program Description ◽  
The Given ◽  
Program Modules

Complex signal-processing problems are naturally described by compositions of program modules that process streams of data. In this article we discuss how such compositions may be analyzed and mapped onto multiprocessor computers to effectively exploit the massive parallelism of these applications. The methods are illustrated with an example of signal processing for an optical surveillance problem. Program transformation and analysis are used to construct a program description tree that represents the given computation as an acyclic interconnection of stream-processing modules. Each module may be mapped to a set of threads run on a group of processing elements of a target multiprocessor. Performance is considered for two forms of multiprocessor architecture, one based on conventional DSP technology and the other on a multithreaded-processing element design.

scholarly journals A Hybrid Vision Processing Unit with a Pipelined Workflow for Convolutional Neural Network Accelerating and Image Signal Processing

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2989
Author(s):  
Peng Liu ◽  
Yan Song
Keyword(s):  
Signal Processing ◽  
Data Transmission ◽  
High Speed ◽  
High Efficiency ◽  
State Of The Art ◽  
Vision System ◽  
Processing Unit ◽  
Processing Elements ◽  
Vision Processing ◽  
Field Programmable

Vision processing chips have been widely used in image processing and recognition tasks. They are conventionally designed based on the image signal processing (ISP) units directly connected with the sensors. In recent years, convolutional neural networks (CNNs) have become the dominant tools for many state-of-the-art vision processing tasks. However, CNNs cannot be processed by a conventional vision processing unit (VPU) with a high speed. On the other side, the CNN processing units cannot process the RAW images from the sensors directly and an ISP unit is required. This makes a vision system inefficient with a lot of data transmission and redundant hardware resources. Additionally, many CNN processing units suffer from a low flexibility for various CNN operations. To solve this problem, this paper proposed an efficient vision processing unit based on a hybrid processing elements array for both CNN accelerating and ISP. Resources are highly shared in this VPU, and a pipelined workflow is introduced to accelerate the vision tasks. We implement the proposed VPU on the Field-Programmable Gate Array (FPGA) platform and various vision tasks are tested on it. The results show that this VPU achieves a high efficiency for both CNN processing and ISP and shows a significant reduction in energy consumption for vision tasks consisting of CNNs and ISP. For various CNN tasks, it maintains an average multiply accumulator utilization of over 94% and achieves a performance of 163.2 GOPS with a frequency of 200 MHz.

scholarly journals Fast heuristic algorithms for computing relations in the class group of a quadratic order, with applications to isogeny evaluation

2016 ◽  
Vol 19 (A) ◽  
pp. 371-390 ◽  
Author(s):  
Jean-François Biasse ◽  
Claus Fieker ◽  
Michael J. Jacobson
Keyword(s):  
Class Group ◽  
Heuristic Algorithms ◽  
Large Degree ◽  
Prime Ideals ◽  
Ideal Class ◽  
Ideal Class Group ◽  
Improved Performance ◽  
Novel Algorithms ◽  
Almost All ◽  
The Ideal

In this paper, we present novel algorithms for finding small relations and ideal factorizations in the ideal class group of an order in an imaginary quadratic field, where both the norms of the prime ideals and the size of the coefficients involved are bounded. We show how our methods can be used to improve the computation of large-degree isogenies and endomorphism rings of elliptic curves defined over finite fields. For these problems, we obtain improved heuristic complexity results in almost all cases and significantly improved performance in practice. The speed-up is especially high in situations where the ideal class group can be computed in advance.

Design of Knowledge Based Analytical Model for Organizational Excellence

2019 ◽  
Vol 9 (1) ◽  
pp. 12-25 ◽  
Author(s):  
Sonal Pathak ◽  
Rashmi Agrawal
Keyword(s):  
Knowledge Management ◽  
Analytical Model ◽  
Research Model ◽  
System Perspective ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Organizational Excellence ◽  
Managerial Task ◽  
Improved Performance ◽  
Almost All

Knowledge is the key resource which always contributes to an improved performance of an organization if it is properly harnessed and leveraged. The administration of assets related to intellect has become an essential managerial task. An ample variety of organizations have commenced initiative to contribute their best ideas on knowledge management. This article focuses this progression in more detailed approach with a description of its basic elements. Organizations have always faced a challenge to the acceptance of knowledge management in their firms. The authors of the article suggest a model for knowledge management (KM) from system perspective. This article includes an overview of knowledge management components and the proposal of an analytical model which includes all the factors required for an excellent knowledge-based system. As knowledge is generally disseminated among almost all systems in any organization, the proposed research model supports the evaluation of knowledge within the organization, using both subjective and objective dimensions which are a challenge point out in many of the existing research studies.

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