scholarly journals Performance optimization methods for switched-capacitor biquadratic filters

2018 ◽  
Vol 69 (5) ◽  
pp. 345-351
Author(s):  
Jiri Nahlik ◽  
Jiri Hospodka ◽  
Pavel Sovka ◽  
Brendan Mullane ◽  
Ondrej Subrt

Abstract A class of computer-aided optimization methods based on Differential Evolution (DE), Particle Swarm Optimization (PSO) and Nelder Mead algorithms applied to a switched-capacitor (SC) filter circuit design are investigated. Comparisons of these algorithms applied to a 4th order biquadratic two-channel filter bank CMOS design on 0.35 µm technology are made. The frequency responses of the biquadratic filters must match ideal responses in a finite number of iterations with a limited number of “particles”. The original and derived methods are evaluated on the base of their convergence progress and their reliability over different starting populations. An optimal design approach based on combining algorithms is derived as a more suitable and more reliable method for SC circuit optimization.

2008 ◽  
Vol 17 (01) ◽  
pp. 123-140
Author(s):  
ÁRPÁD BŰRMEN ◽  
TADEJ TUMA ◽  
IZTOK FAJFAR

The analog-integrated circuits industry is exerting increasing pressure to shorten the analog circuit design time. This pressure is put primarily on the analog circuit designers that in turn demand automated circuit design tools evermore vigorously. Such tools already exist in the form of circuit optimization software packages but they all suffer a common ailment — slow convergence. Even taking into account the increasing computational power of modern computers the convergence times of such optimization tools can range from a few days to even weeks. Different authors have tried diverse approaches for speeding up the convergence with varying success. In this paper authors propose a combined optimization algorithm that attempts to improve the speed of convergence by exploiting the positive properties of the underlying optimization methods. The proposed algorithm is tested on a number of test cases and the convergence results are discussed.


Author(s):  
A.I. Glushchenko ◽  
M.Yu. Serov

В статье рассматривается вопрос совершенствования системы управления параллельно-работающими насосными агрегатами с целью повышения энергоэффективности их работы. Проведено сравнение и выявление недостатков существующих методов решения рассматриваемой проблемы. Предложена идея нового подхода на базе онлайн оптимизации. The problem under consideration is improvement of the energy efficiency of a control system of parallel-running pump units. Known methods used to solve this problem are considered. Their advantages and disadvantages are shown. Finally, the idea of a new approach, which is based on online optimization, is proposed.


2014 ◽  
Vol 2014 ◽  
pp. 1-20
Author(s):  
Bodhisatwa Sadhu ◽  
Martin Sturm ◽  
Brian M. Sadler ◽  
Ramesh Harjani

This paper explores passive switched capacitor based RF receiver front ends for spectrum sensing. Wideband spectrum sensors remain the most challenging block in the software defined radio hardware design. The use of passive switched capacitors provides a very low power signal conditioning front end that enables parallel digitization and software control and cognitive capabilities in the digital domain. In this paper, existing architectures are reviewed followed by a discussion of high speed passive switched capacitor designs. A passive analog FFT front end design is presented as an example analog conditioning circuit. Design methodology, modeling, and optimization techniques are outlined. Measurements are presented demonstrating a 5 GHz broadband front end that consumes only 4 mW power.


Author(s):  
A. S. RADHAMANI ◽  
E. BABURAJ

In recent studies we found that there are many optimization methods presented for multicore processor performance optimization, however each method is suffered from limitations. Hence in this paper we presented a new method which is a combination of bacterial Foraging Particle swarm Optimization with certain constraints named as Constraint based Bacterial Foraging Particle Swarm Optimization (CBFPSO) scheduling can be effectively implemented. The proposed Constraint based Bacterial Foraging Particle Swarm Optimization (CBFPSO) scheduling for multicore architecture, which updates the velocity and position by two bacterial behaviours, i.e. reproduction and elimination dispersal. The performance of CBFPSO is compared with the simulation results of GA, and the result shows that the proposed algorithm has pretty good performance on almost all types of cores compared to GA with respect to completion time and energy consumption.


2004 ◽  
Vol 1 (13) ◽  
pp. 363-367 ◽  
Author(s):  
Ahmed El Oualkadi ◽  
Jean-Marie Paillot ◽  
Hervé Guegnaud ◽  
Rachid Allam ◽  
Lucien Dascalescu

2014 ◽  
Vol 23 (07) ◽  
pp. 1450093
Author(s):  
NGAI CHEONG

This paper describes an analysis of multi-stage and multi-rate IIR switched capacitor (SC) decimators using an interactive switched capacitor multi-rate compiler (ISCMRATE). Motivated by the experimental observations, the purpose of this paper is to explore a portion of characteristics for the multi-stage IIR SC decimators, with their implications in the context of a complete IIR SC filter. To overcome the limitations of conventional multi-stage IIR SC decimators, a novel solution has been introduced for the implementation of a multi-stage IIR SC circuit. Based on the statistical approach of the compiler, we provide the comparative analysis for different IIR SC decimators, including total capacitor area, capacitance spread and arbitrary anti-aliasing amplitude responses with a decimating factor in single and multi-stage building blocks. Examples are given to illustrate the practical feasibility of this compiler.


2012 ◽  
Vol 198-199 ◽  
pp. 626-630
Author(s):  
Xin Wang

There are generally two types of E-commerce platform optimized programs: hardware optimization and software optimization, This paper first analyzes the system optimization techniques of software optimization, Including dynamic load optimization technology and cluster technology; Then studies the database performance optimization methods from the table, connection pooling, query and several other aspects; Finally to carry on the research to optimization electronic commerce platform used the cache technology. Proposes a universal significance of E-commerce platform software optimization solutions, these studies have some references for relevant E-commerce website designers and maintainers, and provides a strategy for the corresponding E-commerce enterprises to optimize platform environments.


Molecules ◽  
2021 ◽  
Vol 26 (16) ◽  
pp. 5049
Author(s):  
Ran Zhang ◽  
Zhanping You ◽  
Jie Ji ◽  
Qingwen Shi ◽  
Zhi Suo

Transforming waste biomass materials into bio-oils in order to partially substitute petroleum asphalt can reduce environmental pollution and fossil energy consumption and has economic benefits. The characteristics of bio-oils and their utilization as additives of asphalts are the focus of this review. First, physicochemical properties of various bio-oils are characterized. Then, conventional, rheological, and chemical properties of bio-oil modified asphalt binders are synthetically reviewed, as well as road performance of bio-oil modified asphalt mixtures. Finally, performance optimization is discussed for bio-asphalt binders and mixtures. This review indicates that bio-oils are highly complex materials that contain various compounds. Moreover, bio-oils are source-depending materials for which its properties vary with different sources. Most bio-oils have a favorable stimulus upon the low temperature performance of asphalt binders and mixtures but exhibit a negative impact on their high-temperature performance. Moreover, a large amount of oxygen element, oxygen-comprising functional groups, and light components in plant-based bio-oils result in higher sensitivity to ageing of bio-oil modified asphalts. In order to increase the performance of bio-asphalts, most research has been limited to adding additive agents to bio-asphalts; therefore, more reasonable optimization methods need to be proposed. Furthermore, upcoming exploration is also needed to identify reasonable evaluation indicators of bio-oils, modification mechanisms of bio-asphalts, and long-term performance tracking in field applications of bio-asphalts during pavement service life.


2021 ◽  
Author(s):  
Zhenzhen Qin

In recent years, the application of thermoelectricity has become more and more widespread. Thermoelectric materials provide a simple and environmentally friendly solution for the direct conversion of heat to electricity. The development of higher performance thermoelectric materials and their performance optimization have become more important. Generally, to improve the ZT value, electrical conductivity, Seebeck coefficient and thermal conductivity must be globally optimized as a whole object. However, due to the strong coupling among ZT parameters in many cases, it is very challenging to break the bottleneck of ZT optimization currently. Beyond the traditional optimization methods (such as inducing defects, varying temperature), the Rashba effect is expected to effectively increase the S2σ and decrease the κ, thus enhancing thermoelectric performance, which provides a new strategy to develop new-generation thermoelectric materials. Although the Rashba effect has great potential in enhancing thermoelectric performance, the underlying mechanism of Rashba-type thermoelectric materials needs further research. In addition, how to introduce Rashba spin splitting into current thermoelectric materials is also of great significance to the optimization of thermoelectricity.


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