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Conference on Signal and Data Processing of Small Targets 1997

作者： Tuzlukov, VP Institute of Engineering Cybernetics Belarusian Academy of Sciences Minsk 220012 Surganova 6 Belarus

ISBN: (纸本)0819425850

Questions of detector synthesis based on the generalized signal processing algorithm for signals with random initial phase are considered. Variance and variance estimation of total noise component at the generalized detector output under the finite time interval [0, T] are determined. Comparative analysis of detection characteristics of the optimal and generalized detectors is carried out. Investigation avenues to stabilization of detection characteristics under employment of the generalised detector independent of signal random parameters based on phase tracking system have been proposed.

关键词： generalized algorithm detector signal noise variance detection parameter probability

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A generalized algorithm for duration and convexity of option embedded bonds

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APPLIED ECONOMICS LETTERS 2019年第10期26卷 835-842页

作者： Homaifar, Ghassem A. Michello, Frank A. Middle Tennessee State Univ Finance Murfreesboro TN 37130 USA

This article derives a generalized algorithm for duration and convexity of option embedded bonds that provides a convenient way of estimating the dollar value of 1 basis point change in yield known as DV01, an important metric in the bond market. As delta approaches 1, duration of callable bonds approaches zero once the bond is called. However, when the delta is zero, the short call is worthless and duration of callable will be equal to that of a straight bond. On the other hand, the convexity of a callable bond follows the same behaviour when the delta is 1 as shown in Dunetz and Mahoney (1988) as well as in Mehran and Homaifar's (1993) derivations. However, in the case when delta is zero, the convexity of a callable bond approaches zero as well, which is in stark contrast to the non-zero convexity derived in Dunetz and Mahoney's paper. Our generalized algorithm shows that duration and convexity nearly symmetrically underestimate (overestimate) the actual price change by 11/10 basis points for +/- 100 basis points change in yield. Furthermore, our algorithm reduces to that of MH for convertible bonds assuming the convertible bond is not callable.

关键词： Duration convexity DV01 convertible Callable generalized algorithm option embedded bonds

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A generalized Transformer-Based Pulse Detection algorithm

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ACS SENSORS 2022年第9期7卷 2710-2720页

作者： Dematties, Dario Wen, Chenyu Zhang, Shi-Li Uppsala Univ Dept Elect Engn SE-75103 Uppsala Sweden Northwestern Univ Northwestern Argonne Inst Sci & Engn Evanston IL 60208 USA Math & Comp Sci Div Argonne Natl Lab Lemont IL 60439 USA Wageningen Univ Lab Biophys NanoDynamicsLab NL-6708 WE Wageningen Netherlands Delft Univ Technol Kavli Inst Nanosci Dept Bionanosci NL-2629 HZ Delft Netherlands

Pulse-like signals are ubiquitous in the field of single molecule analysis, e.g., electrical or optical pulses caused by analyte translocations in nanopores. The primary challenge in processing pulse-like signals is to capture the pulses in noisy backgrounds, but current methods are subjectively based on a user-defined threshold for pulse recognition. Here, we propose a generalized machine-learning based method, named pulse detection transformer (PETR), for pulse detection. PETR determines the start and end time points of individual pulses, thereby singling out pulse segments in a time-sequential trace. It is objective without needing to specify any threshold. It provides a generalized interface for downstream algorithms for specific application scenarios. PETR is validated using both simulated and experimental nanopore translocation data. It returns a competitive performance in detecting pulses through assessing them with several standard metrics. Finally, the generalization nature of the PETR output is demonstrated using two representative algorithms for feature extraction.

关键词： spike recognition machine learning artificial neural network transformer nanopore sensing generalized algorithm

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THE STUDY AND APPLICATION OF A generalized DIGITAL-SIMULATION algorithm FOR POWER CONVERTERS - INDUCTION MACHINES SYSTEM

THE STUDY AND APPLICATION OF A GENERALIZED DIGITAL-SIMULATIO...

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TENCON 93 - 1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering

作者： LIN, ZB GAO, JD ZHENG, FS TSING HUA UNIV BEIJINGPEOPLES R CHINA

ISBN: (纸本)780003285X

A generalized digital simulation algorithm is presented for a power converter-induction machine circuit and its control system. With this new method, not only multimachines and multiconverters can be simulated, but also power circuits and control circuits can be evaluated simultaneously. Simulation software is developed on a personal computer. The simulation results of induction machines fed from CSI or VSI both in steady state and transient processes show good agreement with experimental results.

关键词： asynchronous machines power convertors invertors machine control machine theory electric machine analysis computing digital simulation circuit analysis computing microcomputer applications software packages control system analysis computing induction machines power converters digital simulation generalized algorithm control system multimachines multiconverters power circuits control circuits personal computer software CSI VSI steady state process transient process SPEEM

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A generalized reaching law for discrete time sliding mode control

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AUTOMATICA 2015年 52卷 83-86页

作者： Chakrabarty, Sohom Bandyopadhyay, Bijnan Indian Inst Technol IDP Syst & Control Bombay Maharashtra India

The paper presents a generalized algorithm for the reaching and boundedness of the sliding variable in case of discrete time sliding mode control systems. The algorithm is general as it not only comprises functions in the sliding variable, but also functions in other variables, which are known. With the help of the proposed generalized reaching law, an important problem of a reaching law with uncertainty bounded by known functions is studied. The convergence of the sliding variable to an ultimate bounding function in presence of such an uncertainty is shown by the band approach method. This is achieved by appropriately selecting the functions in the proposed generalized reaching law. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Discrete control Sliding mode control generalized algorithm Discrete reaching law Band approach

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A generalized reaching law with different convergence rates

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AUTOMATICA 2016年 63卷 34-37页

作者： Chakrabarty, Sohom Bandyopadhyay, Bijnan Indian Inst Technol IDP Syst & Control Bombay Maharashtra India

Traditionally, the convergence rate of the sliding variable given by a discrete reaching law has been fixed in nature. This paper presents a generalized algorithm for discrete time sliding mode control systems which offers a flexible convergence rate for the sliding variable. For analysis, we use the recently developed band approach method which gives us the values of the parameters in the algorithm for the desired convergence to take place, once the ultimate band is chosen appropriately. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Discrete sliding mode control generalized algorithm Discrete reaching law Band approach Varying convergence rate

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Parameters for system effectiveness evaluation of distributed systems

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IEEE TRANSACTIONS ON COMPUTERS 1996年第6期45卷 746-752页

作者： Kumar, A Agrawal, DP N CAROLINA STATE UNIV DEPT ELECT & COMP ENGNRALEIGHNC 27695

In a Distributed Computing System (DCS), the failure of one or more system components causes the degradation in its effectiveness to complete a given task as opposed to a complete network breakdown. This paper addresses the issue of degraded system effectiveness evaluation by introducing two static measures, namely, Distributed Program Performance Index (DPP1) and Distributed System Performance Index (DSPI). These metrics can be used to compare networks with different features for application execution. It can be used to determine if the network with high reliability and bw capacity, or low reliability and high capacity is better for a given program execution. An algorithm is also developed for computing these indices, and a is shown to be not only efficient, but general enough to compute many other existing measures such as computer networks, distributed systems, transaction based systems, etc.

关键词： directed and undirected graphs Distributed Computing System (DCS) Distributed Program Performance Index (DPPI) Distributed System Performance Index (DSPI) generalized algorithm performance degradation system effectiveness

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algorithm of 6-DOF motion detection of curved surface object based on laser distance sensors

Algorithm of 6-DOF motion detection of curved surface object...

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IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

作者： Kim, Young-Keun Kim, Kyung-Soo Handong Global Univ Dept Mech & Control Engn Pohang South Korea Korea Adv Inst Sci & Technol Dept Mech Eng Daejeon South Korea

ISBN: (纸本)9781479957361

This paper proposes a generalized algorithm of detecting six-degree-of-freedom (6-DOF) motions of an object with unknown surface curvature. The proposed system is a 6-DOF motion detection system for long distance range based on low cost laser distance sensors and a vision sensor. This does not require prior information on the geometric configurations of the feature points nor the surface curvature of the object. Simulations are conducted to validate the proposed algorithm on a regularly curved object.

关键词： Cameras Laser beams Measurement by laser beam Sensor systems Surface emitting lasers measurement by laser beam Sensor systems laser beams Cameras surface curvature Surface emitting lasers Feature Points generalized algorithm vision sensors Motion detection Curved

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Learning Graph Structures in Discrete Markov Random Fields

Learning Graph Structures in Discrete Markov Random Fields

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IEEE Conference on Computer Communications (INFOCOM)

作者： Wu, Rui Srikant, R. Ni, Jian Univ Illinois Dept ECE Urbana IL 61801 USA

ISBN: (纸本)9781467310161

We present a general algorithm for learning the structure of discrete Markov random fields from i.i.d. samples. The algorithm either achieves the same computational complexity or lowers the computational complexity of earlier algorithms for several cases, and provides a new low-computational complexity algorithm for the case of Ising models where the underlying graph is the Erdos-Renyi random graph G similar to G (p, c/p).

关键词： Markov random fields complexity classes generalized algorithm Ising model discrete element

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Universal discrete denoising

Universal discrete denoising

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IEEE Information Theory Workshop

作者： Weissman, T Ordentlich, E Seroussi, G Verdú, S Weinberger, M Hewlett Packard Labs Palo Alto CA 94304 USA

ISBN: (纸本)0780376293

We propose a discrete denoising algorithm, that, based on the observation of, the output of a known Discrete Memoryless Channel (DMC), estimates the input sequence to minimize a given fidelity, criterion. The algorithm is universal in the sense that it requires no knowledge of the input sequence or its statistical properties. Yet, asymptotically it performs as well as the optimum denoiser that knows the input sequence distribution. The, proposed denoising algorithm is practical, and can be implemented in O(nlogn) time and O(n(2/3) log n) storage complexity. Extensions to the case of delay-constrained denoising, and to the case of channel uncertainty, are briefly discussed.

关键词： signal denoising computational complexity memoryless systems stochastic processes telecommunication channels discrete denoising algorithm discrete memoryless channel fidelity criterion universal algorithm input sequence estimation storage c Input sequence generalized algorithm memoryless systems signal denoising Markov chain Memoryless channel complexity classes Noise reduction Stochastic Processes Universal

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