Author
Jai Narayan Tripathi
Other affiliations: STMicroelectronics, Indian Institutes of Technology, Indian Institute of Chemical Technology ...read more
Bio: Jai Narayan Tripathi is an academic researcher from Indian Institute of Technology, Jodhpur. The author has contributed to research in topics: Jitter & Power integrity. The author has an hindex of 9, co-authored 65 publications receiving 247 citations. Previous affiliations of Jai Narayan Tripathi include STMicroelectronics & Indian Institutes of Technology.
Topics: Jitter, Power integrity, CMOS, Decoupling capacitor, Signal integrity
Papers
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23 Sep 2011TL;DR: In this article, the phase noise optimization for RF oscillator using Design of Experiments (DOE) is presented, where the constraint of keeping frequency deviation minimum is taken in to account by ANOVA and nominal-the best approach of Taguchi methods.
Abstract: Phase Noise optimization for RF oscillator using Design of Experiments (DOE) is presented. The constraint of keeping frequency deviation minimum is taken in to account by ANOVA and nominal-the-best approach of Taguchi methods. Phase Noise of the oscillator is improved by −3.6 dB with frequency deviation of 0.04 %. Power consumption is also reduced by 3.2 mW. 1
1 citations
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01 Oct 2020TL;DR: The estimation by inspection method to analyse the impact of deterministic supply noise on the design specifications of the analog and mixed signal (AMS) systems shows maximum mean percentage error (MPE) of 3% for all the examples.
Abstract: This paper proposes the estimation by inspection method to analyse the impact of deterministic supply noise on the design specifications of the analog and mixed signal (AMS) systems. The method is based on the indefinite admittance matrix (IAM) method. The voltage gain, phase and input-output impedance have been considered as the design specifications. To validate the method, two examples of output stages for analog and digital blocks have been simulated in standard 0.18 $\mu$m technology with 1.8 V of supply and same geometric area. The proposed models using the inspection method and the SPICE based simulations shows maximum mean percentage error (MPE) of 3% for all the examples.
1 citations
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14 Mar 2011TL;DR: HSLINK system is optimized for better SI and PI and linear models for eye amplitude and jitter are derived by Design of Experiments (DOE) and cost effective solution strategy is presented using linear models obtained.
Abstract: Signal Integrity (SI) and Power Integrity (PI) are the most inportant characteristics for system level design, simulation and analysis of high speed systems. In this paper, HSLINK system is optimized for better SI and PI. Linear models for eye amplitude and jitter are derived by Design of Experiments (DOE). Cost effective solution strategy is also presented using linear models obtained.
1 citations
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01 Dec 2011
TL;DR: In this article, the authors proposed a method to improve the gain of an RF Amplifier using Design of Experiments (DOE) with the constraints of keeping minimum deviations in both frequency and Noise Figure (NF) taking in to account by ANOVA and nominal-the-best approach of Taguchi Methods.
Abstract: Optimizing Gain of an RF Amplifier using Design of Experiments (DOE), is presented. The constraints of keeping minimum deviations in both frequency and Noise Figure (NF) is taken in to account by ANOVA and nominal-the-best approach of Taguchi Methods. Gain of the amplifier is improved by 2.4 dB with frequency and NF deviations of 0% each.
1 citations
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22 May 2022
TL;DR: The proposed ANN demonstrates a reasonably accurate prediction of PSIJ with results that closely match with that from directly using a circuit simulator (ADS) for a case study with 50nm CMOS technology.
Abstract: In this paper, a knowledge based artificial neural network is developed for predicting jitter for a CMOS inverter in the presence of power supply noise (PSN). The proposed ANN provides for efficient training in an hybrid approach using input data extracted from both analytical closed-form expressions as well as a circuit simulator. The proposed ANN demonstrates a reasonably accurate prediction of PSIJ with results that closely match with that from directly using a circuit simulator (ADS) for a case study with 50nm CMOS technology.
1 citations
Cited by
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TL;DR: This book by a teacher of statistics (as well as a consultant for "experimenters") is a comprehensive study of the philosophical background for the statistical design of experiment.
Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON
13,333 citations
01 Jan 2016
TL;DR: The logical effort designing fast cmos circuits is universally compatible with any devices to read and is available in the book collection an online access to it is set as public so you can download it instantly.
Abstract: Thank you for reading logical effort designing fast cmos circuits. As you may know, people have search numerous times for their chosen novels like this logical effort designing fast cmos circuits, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some harmful bugs inside their desktop computer. logical effort designing fast cmos circuits is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the logical effort designing fast cmos circuits is universally compatible with any devices to read.
137 citations
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TL;DR: An adaptive particle swarm optimization algorithm based on directed weighted complex network (DWCNPSO) is proposed that can effectively avoid the premature convergence problem and the convergence rate is faster.
Abstract: The disadvantages of particle swarm optimization (PSO) algorithm are that it is easy to fall into local optimum in high-dimensional space and has a low convergence rate in the iterative process. To deal with these problems, an adaptive particle swarm optimization algorithm based on directed weighted complex network (DWCNPSO) is proposed. Particles can be scattered uniformly over the search space by using the topology of small-world network to initialize the particles position. At the same time, an evolutionary mechanism of the directed dynamic network is employed to make the particles evolve into the scale-free network when the in-degree obeys power-law distribution. In the proposed method, not only the diversity of the algorithm was improved, but also particles’ falling into local optimum was avoided. The simulation results indicate that the proposed algorithm can effectively avoid the premature convergence problem. Compared with other algorithms, the convergence rate is faster.
74 citations
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TL;DR: A general form of PSO algorithms is considered, and asymptotic properties of the algorithms using stochastic approximation methods are analyzed, proving that a suitably scaled sequence of swarms converge to the solution of an ordinary differential equation.
Abstract: Recently, much progress has been made on particle swarm optimization (PSO). A number of works have been devoted to analyzing the convergence of the underlying algorithms. Nevertheless, in most cases, rather simplified hypotheses are used. For example, it often assumes that the swarm has only one particle. In addition, more often than not, the variables and the points of attraction are assumed to remain constant throughout the optimization process. In reality, such assumptions are often violated. Moreover, there are no rigorous rates of convergence results available to date for the particle swarm, to the best of our knowledge. In this paper, we consider a general form of PSO algorithms, and analyze asymptotic properties of the algorithms using stochastic approximation methods. We introduce four coefficients and rewrite the PSO procedure as a stochastic approximation type iterative algorithm. Then we analyze its convergence using weak convergence method. It is proved that a suitably scaled sequence of swarms converge to the solution of an ordinary differential equation. We also establish certain stability results. Moreover, convergence rates are ascertained by using weak convergence method. A centered and scaled sequence of the estimation errors is shown to have a diffusion limit.
45 citations