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Relevant bibliographies by topics / Signal flow graph

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Academic literature on the topic 'Signal flow graph'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Signal flow graph"

1

Sen, A. K. "Metabolic control analysis. An application of signal flow graphs." Biochemical Journal 269, no. 1 (July 1, 1990): 141–47. http://dx.doi.org/10.1042/bj2690141.

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In this paper the method of signal-flow graphs is used for calculating the Control Coefficients of metabolic pathways in terms of enzyme elasticities. The method is applied to an unbranched pathway (a) without feedback or feedforward regulation and (b) with feedback inhibition of the first enzyme by the last variable metabolite. It is shown that, by using a signal-flow graph, the control structure of a metabolic pathway can be represented in a graphical manner directly from the configuration of the pathway, without the necessity of writing the governing equations in a matrix form. From a signal-flow graph the various Control Coefficients can be evaluated in an easy and straightforward fashion without recourse to matrix inversion or other algebraic techniques. A signal-flow graph also provides a visual framework for analysing the cause-effect relationships of the individual enzymes.

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Wing-Hung Ki. "Signal flow graph analysis of feedback amplifiers." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 47, no. 6 (June 2000): 926–33. http://dx.doi.org/10.1109/81.852948.

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DAVIS, MICHAEL C. "ENGINEERING APPLICATIONS OF THE SIGNAL FLOW GRAPH." Journal of the American Society for Naval Engineers 73, no. 1 (March 18, 2009): 147–56. http://dx.doi.org/10.1111/j.1559-3584.1961.tb02430.x.

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Ma, R., and K. C. Gupta. "Signal Flow Graphs for Spatial Gear Trains." Journal of Mechanical Design 116, no. 1 (March 1, 1994): 326–31. http://dx.doi.org/10.1115/1.2919367.

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Signal flow graphs (SFG) have been applied in many areas such as circuit analysis, controls, mechanical vibrations, statistics, and operations research. They have also been applied to the analysis of planetary gear trains which are planar, i.e., where all of the gear axes are parallel. In this paper, signal flow graphs are applied to spatial planetary gear trains. Some additional terminology and rules which are needed for this important application are developed in this paper and illustrated by examples. The significance of applying SFG to a gear system is that the graph describes the interrelationship among the system variables by linking causes and effects, offers the information about the topology of system connection, and the kinematic equations of motion can be written easily by inspection. In this way, it helps use to visualize and understand spatial gear train systems better.

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Beaufays, Françoise, and Eric A. Wan. "Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity." Neural Computation 6, no. 2 (March 1994): 296–306. http://dx.doi.org/10.1162/neco.1994.6.2.296.

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We show that signal flow graph theory provides a simple way to relate two popular algorithms used for adapting dynamic neural networks, real-time backpropagation and backpropagation-through-time. Starting with the flow graph for real-time backpropagation, we use a simple transposition to produce a second graph. The new graph is shown to be interreciprocal with the original and to correspond to the backpropagation-through-time algorithm. Interreciprocity provides a theoretical argument to verify that both flow graphs implement the same overall weight update.

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Jeng, Shyr-Long, Rohit Roy, and Wei-Hua Chieng. "A Matrix Approach for Analyzing Signal Flow Graph." Information 11, no. 12 (November 30, 2020): 562. http://dx.doi.org/10.3390/info11120562.

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Mason’s gain formula can grow factorially because of growth in the enumeration of paths in a directed graph. Each of the (n − 2)! permutation of the intermediate vertices includes a path between input and output nodes. This paper presents a novel method for analyzing the loop gain of a signal flow graph based on the transform matrix approach. This approach only requires matrix determinant operations to determine the transfer function with complexity O(n3) in the worst case, therefore rendering it more efficient than Mason’s gain formula. We derive the transfer function of the signal flow graph to the ratio of different cofactor matrices of the augmented matrix. By using the cofactor expansion, we then obtain a correspondence between the topological operation of deleting a vertex from a signal flow graph and the algebraic operation of eliminating a variable from the set of equations. A set of loops sharing the same backward edges, referred to as a loop group, is used to simplify the loop enumeration. Two examples of feedback networks demonstrate the intuitive approach to obtain the transfer function for both numerical and computer-aided symbolic analysis, which yields the same results as Mason’s gain formula. The transfer matrix offers an excellent physical insight, because it enables visualization of the signal flow.

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Szymkat, M. "Signal Flow Graph Algebraization in the D2M Package *." IFAC Proceedings Volumes 24, no. 4 (July 1991): 197–202. http://dx.doi.org/10.1016/s1474-6670(17)54271-8.

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Veerachary, Mummadi, Tomonobu Senjyu, and Katsumi Uezato. "Signal flow graph modelling of interleaved buck converters." International Journal of Circuit Theory and Applications 31, no. 3 (2003): 249–64. http://dx.doi.org/10.1002/cta.230.

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Xiao-Feng, Zhou, and Shen Zhi-Guang. "Signal flow graph analysis of switched-capacitor networks." International Journal of Circuit Theory and Applications 13, no. 2 (April 1985): 179–89. http://dx.doi.org/10.1002/cta.4490130207.

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Veerachary, M., T. Senjyu, and K. Uezato. "Signal flow graph nonlinear modelling of interleaved converters." IEE Proceedings - Electric Power Applications 148, no. 5 (2001): 410. http://dx.doi.org/10.1049/ip-epa:20010573.

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Dissertations / Theses on the topic "Signal flow graph"

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Cheung, Wing-tai. "Geometric programming and signal flow graph assisted design of interconnect and analog circuits." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/HKUTO/record/B39558526.

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張永泰 and Wing-tai Cheung. "Geometric programming and signal flow graph assisted design of interconnect and analog circuits." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39558526.

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Swank, David P. "Large grain data-flow graph restructuring for EMSP signal processing benchmarks on the ECOS workstation system." Thesis, Monterey, California. Naval Postgraduate School, 1993. http://hdl.handle.net/10945/26609.

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This thesis documents a procedure for implementing the Revolving Cylinder scheduling algorithm for parallel programs on the ECOS Workstation System (EWS), designed specifically by AT&T for simulation of the Enhanced Modular Signal Processor (EMSP) currently in use by the United States Navy. The Revolving Cylinder (RC) algorithm provides a methodology for forcing First Come First Served (FCFS) schedulers to follow a more systematic utilization of available resources. The methods of implementation used take advantage of the Graphical Editor (gred) to insert additional data dependencies into the program structure. The thesis utilizes applications written in Signal Processing Graph Notation (SPGN), viz., a simple correlator function and the active subroutine of the U.S. Navy Sonobuoy benchmark. Results for standard FCFS scheduling and RC modified scheduling are presented for both. Special attention is paid throughout the thesis to enhancement of manufacturer supplied documentation with regard to implementation of the non-standard RC structures. Impact of the algorithm on throughput and latency is discussed, as well as performance determination using the tools provided with the ECOS Workstation System

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Ngô, Van Chan. "Formal verification of a synchronous data-flow compiler : from Signal to C." Phd thesis, Université Rennes 1, 2014. http://tel.archives-ouvertes.fr/tel-01067477.

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Synchronous languages such as Signal, Lustre and Esterel are dedicated to designing safety-critical systems. Their compilers are large and complicated programs that may be incorrect in some contexts, which might produce silently bad compiled code when compiling source programs. The bad compiled code can invalidate the safety properties that are guaranteed on the source programs by applying formal methods. Adopting the translation validation approach, this thesis aims at formally proving the correctness of the highly optimizing and industrial Signal compiler. The correctness proof represents both source program and compiled code in a common semantic framework, then formalizes a relation between the source program and its compiled code to express that the semantics of the source program are preserved in the compiled code.

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Saleem, Jawad, and Abdul Mateen Malik. "REALIZATION OF CASCADE OF RESONATORS WITH DISTRBUTED FEED-BACK SIGMA-DELTA." Thesis, Department of Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-20289.

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The Sigma Delta Modulator (SDM) based analog to digital conversion is cost effective and have the advantages as higher reliability, increased functionality, and reduction in chip cost.

The thesis work includes the modeling of SDM with the signal flow graph in Matlab, optimization of the coefficients to improve the noise transfer function and signal transfer function. A procedure to find the maximum stable input range for the design. Scaling the inputs of the integrator so that the maximum output signal can be obtained according to the operational transconductance amplifier (OTA) output range. Further we derived error bound for the design. Then step by step realization of the SDM form the signal flow graph (SFG) to a fully differential switched-capacitor (SC) network is shown. The work also includes complete differential transistor level realization for 3-bit flash analog to digital converter (ADC), thermometric to binary encoder, a switch-capacitor digital to analog converter (DAC) circuit and an on-chip circuit realization of the non-overlapping clock generation circuitry.

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Saleem, Jawad, and Abdul Mateen Malik. "Realization of Cascade of Resonators with Distributed Feed-Back Sigma-Delta." Thesis, Linköpings universitet, Institutionen för systemteknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-20289.

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The Sigma Delta Modulator (SDM) based analog to digital conversion is cost effective and have the advantages as higher reliability, increased functionality, and reduction in chip cost. The thesis work includes the modeling of SDM with the signal flow graph in Matlab, optimization of the coefficients to improve the noise transfer function and signal transfer function. A procedure to find the maximum stable input range for the design. Scaling the inputs of the integrator so that the maximum output signal can be obtained according to the operational transconductance amplifier (OTA) output range. Further we derived error bound for the design. Then step by step realization of the SDM form the signal flow graph (SFG) to a fully differential switched-capacitor (SC) network is shown. The work also includes complete differential transistor level realization for 3-bit flash analog to digital converter (ADC), thermometric to binary encoder, a switch-capacitor digital to analog converter (DAC) circuit and an on-chip circuit realization of the non-overlapping clock generation circuitry.

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Voráč, Ladislav. "Řiditelné filtry s maximálním možným přeladěním a netradičními aktivními prvky." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218353.

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The thesis is paid to design frequency filters steerable jet active elements of the MO–CF (Multiple-Output Current Follower) and also newly-developed current active element DACA (Digitally Adjustable Current Amplifier) in the company ON Semiconductor. The first three chapters focus on basic properties of frequency filters, used components and circuit design methods. The digitally controllable current amplifier DACA is used for managing the radio frequency filters and adjust it using the current amplification parameter A through the digital input CTR. For the design of filters of the second order a method of M-C Signal flow graphs is used. This method is in the work proved very useful and contributed to the modification of already designed frequency filters. The fourth chapter describes the actual detailed design of circuits with quality management, or marginal frequencies to the two parameters. Involvement of the proposed filter is simulated in the OrCAD program for different levels of models of the circuit elements. At the end of each filter design there is a comparison of theoretical and simulated values of the adjustable parameters circuit. The conclusion was one of the districts selected for experimental verification, followed by comparing the measured and simulated transmission characteristics.

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Isik, Zerrin. "Network Structure Based Pathway Enrichment System To Analyze Pathway Activities." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12612951/index.pdf.

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Current approaches integrating large scale data and information from a variety of sources to reveal molecular basis of cellular events do not adequately benefit from pathway information. Here, we portray a network structure based pathway enrichment system that fuses and exploits model and data: signalling pathways are taken as the biological models while microarray and ChIP-seq data are the sample input data sources among many other alternatives. Our model- and data-driven hybrid system allows to quantitatively assessing the biological activity of a cyclic pathway and simultaneous enrichment of the significant paths leading to the ultimate cellular response. Signal Transduction Score Flow (SiTSFlow) algorithm is the fundamental constituent of proposed network structure based pathway enrichment system. SiTSFlow algorithm converts each pathway into a cascaded graph and then gene scores are mapped onto the protein nodes. Gene scores are transferred to en route of the pathway to form a final activity score describing behaviour of a specific process in the pathway while enriching of the gene node scores. Because of cyclic pathways, the algorithm runs in an iterative manner and it terminates when the node scores converge. The converged final activity score provides a quantitative measure to assess the biological significance of a process under the given experimental conditions. The conversion of cyclic pathways into cascaded graphs is performed by using a linear time multiple source Breadth First Search Algorithm. Furthermore, proposed network structure based pathway enrichment system works in linear time in terms of nodes and edges of given pathways. In order to explore various biological responses of several processes in a global signalling network, the selected small pathways have been unified based on their common gene and process nodes. The merge algorithm for pathways also runs in linear time in terms of nodes and edges of given pathways. In the experiments, SiTSFlow algorithm proved the convergence behaviour of activity scores for several cyclic pathways and for a global signalling network. The biological results obtained by assessing of experimental data by described network structure based pathway enrichment system were in correlation with the expected cellular behaviour under the given experimental conditions.

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Imaev, Aleksey A. "Hierarchical Modeling of Manufacturing Systems Using Max-Plus Algebra." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1257871858.

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Nukala, Murthy V. R. K. N. "Generalized models of design iteration using signal flow graphs." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11486.

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Books on the topic "Signal flow graph"

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Han, Yanbo. An application of signal flow graph in concurrent circuit simulation. Sankt Augustin: Gesellschaft fur Mathematik und Datenverarbeitung, 1988.

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2

Swank, David P. Large grain data-flow graph restructuring for EMSP signal processing benchmarks on the ECOS workstation system. Monterey, Calif: Naval Postgraduate School, 1993.

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3

Muralt, Arnold. The design of switched-capacitor ladder filters: Based on doubly- terminated two-pair signal-flow graphs. Konstanz: Hartung-Gorre Verlag, 1993.

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Book chapters on the topic "Signal flow graph"

1

Binh, Le Nguyen. "Photonic Signal Processing Via Signal-Flow Graph." In Photonic Signal Processing, 7–69. Second edition. | Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, [2019]: CRC Press, 2019. http://dx.doi.org/10.1201/9780429436994-2.

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Bonchi, Filippo, Robin Piedeleu, Paweł Sobociński, and Fabio Zanasi. "Contextual Equivalence for Signal Flow Graphs." In Lecture Notes in Computer Science, 77–96. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45231-5_5.

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AbstractWe extend the signal flow calculus—a compositional account of the classical signal flow graph model of computation—to encompass affine behaviour, and furnish it with a novel operational semantics. The increased expressive power allows us to define a canonical notion of contextual equivalence, which we show to coincide with denotational equality. Finally, we characterise the realisable fragment of the calculus: those terms that express the computations of (affine) signal flow graphs.

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Moschytz, George S. "An Introduction to Signal-Flow Graph Theory." In Analog Circuit Theory and Filter Design in the Digital World, 85–100. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00096-7_5.

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Qi, Ronggang, Zifeng Li, and Qing Ma. "DSP Structure Optimizations – A Multirate Signal Flow Graph Approach." In Lecture Notes in Computer Science, 1007–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28648-6_160.

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Beillahi, Sidi Mohamed, Umair Siddique, and Sofiène Tahar. "Formal Analysis of Engineering Systems Based on Signal-Flow-Graph Theory." In Numerical Software Verification, 31–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54292-8_3.

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Moschytz, George S. "The Transmission Matrix of SC Networks and Its Signal-Flow Graph." In Analog Circuit Theory and Filter Design in the Digital World, 483–509. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00096-7_20.

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Dorn, Britta, Falk Hüffner, Dominikus Krüger, Rolf Niedermeier, and Johannes Uhlmann. "Exploiting Bounded Signal Flow for Graph Orientation Based on Cause–Effect Pairs." In Theory and Practice of Algorithms in (Computer) Systems, 104–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19754-3_12.

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Yob, Rashidah Che, Nor Muzlifah Mahyuddin, and Mohd Fadzil Ain. "Implementation of Signal Flow Graph Rules Analysis on Short-Open-Load-Thru Calibration Algorithm." In 9th International Conference on Robotic, Vision, Signal Processing and Power Applications, 481–91. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1721-6_52.

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Ochoa, Agustin. "Driving Point Impedance and Signal Flow Graph Basics: A Systematic Approach to Circuit Analysis." In Feedback in Analog Circuits, 13–34. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26252-9_2.

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Anitha, A., B. Triveni, Pinninti Kishore, and Makkena Madhavi Latha. "A Modified Novel Signal Flow Graph and Memory-Based Radix-8 FFT Processor Design." In Smart Computing Techniques and Applications, 545–53. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1502-3_54.

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Conference papers on the topic "Signal flow graph"

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Victor, U. R. C., F. R. Sabino, G. G. Machado, M. T. de Melo, B. M. G. de Oliveira, and M. E. V. Segatto. "Signal-flow graph analysis in PLC multipath model." In 2015 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC). IEEE, 2015. http://dx.doi.org/10.1109/imoc.2015.7369222.

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Setiawan, Nurul Arif, Dhi Aurrahman, and Chil Woo Lee. "Optical Flow in Dynamic Graph Cuts." In 2007 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/pacrim.2007.4313231.

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Owerko, Damian, Fernando Gama, and Alejandro Ribeiro. "Optimal Power Flow Using Graph Neural Networks." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053140.

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Zhao, Wenshan, Yigang He, and Yichuang Sun. "Design of switched-current wavelet filters using signal flow graph." In 2010 53rd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2010. http://dx.doi.org/10.1109/mwscas.2010.5548855.

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Jeng, Shyr-Long, and Wei-Hua Chieng. "Transform Matrix Approach for Path Gain in Signal Flow Graph." In 2020 3rd IEEE International Conference on Knowledge Innovation and Invention (ICKII). IEEE, 2020. http://dx.doi.org/10.1109/ickii50300.2020.9318953.

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Lanjewar, Supriya S. "Design of iterative data flow graph using hierarchical folding." In 2015 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2015. http://dx.doi.org/10.1109/iccsp.2015.7322809.

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Schaub, Michael T., and Santiago Segarra. "FLOW SMOOTHING AND DENOISING: GRAPH SIGNAL PROCESSING IN THE EDGE-SPACE." In 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2018. http://dx.doi.org/10.1109/globalsip.2018.8646701.

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Mego, Roman, and Tomas Fryza. "Tool for algorithms mapping with help of signal-flow graph approach." In 2014 24th International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2014. http://dx.doi.org/10.1109/radioelek.2014.6828429.

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Han, Bingxin, Lixian Liu, Zhanfeng Gao, and Liqiang Du. "Modeling method based on signal flow graph correlation matrix and its application." In Vision (ICARCV 2010). IEEE, 2010. http://dx.doi.org/10.1109/icarcv.2010.5707858.

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He, Suining, and Kang G. Shin. "Crowd-Flow Graph Construction and Identification with Spatio-Temporal Signal Feature Fusion." In IEEE INFOCOM 2019 - IEEE Conference on Computer Communications. IEEE, 2019. http://dx.doi.org/10.1109/infocom.2019.8737557.

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Reports on the topic "Signal flow graph"

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Panas, R., J. Cuadra, K. Mohan, and R. Morales. Model and Standard Operating Procedures Supporting Signal Variation Flow Graph Analysis. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1668519.

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Cram, Jana, Mary Levandowski, Kaci Fitzgibbon, and Andrew Ray. Water resources summary for the Snake River and Jackson Lake Reservoir in Grand Teton National Park and John D. Rockefeller, Jr. Memorial Parkway: Preliminary analysis of 2016 data. National Park Service, June 2021. http://dx.doi.org/10.36967/nrr-2285179.

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This report summarizes discharge and water quality monitoring data for the Snake River and Jackson Lake reservoir levels in Grand Teton National Park and John D. Rockefeller, Jr. Memorial Parkway for calendar year 2016. Annual and long-term discharge summaries and an evaluation of chemical conditions relative to state and federal water quality standards are presented. These results are considered provisional, and may be subject to change. River Discharge: Hydrographs for the Snake River at Flagg Ranch, WY, and Moose, WY, exhibit a general pattern of high early summer flows and lower baseflows occurring in late summer and fall. During much of 2016, flows at the Flagg Ranch monitoring location were similar to the 25th percentile of daily flows at that site. Peak flows at Flagg Ranch were similar to average peak flow from 1983 to 2015 but occurred eleven days earlier in the year compared to the long-term average. Peak flows and daily flows at the Moose monitoring station were below the long-term average. Peak flows occurred four days later than the long-term average. During summer months, the unnatural hydro-graph at the Moose monitoring location exhibited signs of flow regulation associated with the management of Jackson Lake. Water Quality Monitoring in the Snake River: Water quality in the Snake River exhibited seasonal variability over the sampling period. Specifically, total iron peaked during high flows. In contrast, chloride, sulfate, sodium, magnesium, and calcium levels were at their annual minimum during high flows. Jackson Lake Reservoir: Reservoir storage dynamics in Jackson Lake exhibit a pattern of spring filling associated with early snowmelt runoff reaching maximum storage in mid-summer (on or near July 1). During 2016, filling water levels and reservoir storage began to increase in Jackson Lake nearly two weeks earlier than the long-term average and coincident with increases in runoff-driven flows in the Snake River. Although peak storage in Jackson Lake was larger and occurred earlier than the long-term average, minimum storage levels were similar to the long-term average.

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