Showing 7 open source projects for "transfer function model"

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  • 1
    Data Envelopment Analysis using Stata

    Data Envelopment Analysis using Stata

    Unified Data Envelopment Analysis commands for Stata

    DEAS provides Data Envelopment Analysis tools for Stata. Version 2.0 is a major update centered on a unified dea command for Stata 16 or later. It consolidates sixteen DEA model families into one interface, keeps backward compatibility with the original inputs = outputs syntax, and adds a fast Mata two-phase revised simplex engine alongside Stata's LinearProgram() IPM engine. The package supports radial technical efficiency (CCR/BCC), SBM, additive model, radial and SBM super-efficiency, multiplier form, directional distance function, cost, revenue, profit, allocative efficiency, FDH, imprecise DEA, undesirable outputs, SBM with undesirable outputs, and congestion analysis. ...
    Downloads: 24 This Week
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  • 2

    Symbolic Spice with Maxima

    Maxima Script to Calculate Transfer Function of a LTspice Circuit

    Script for Maxima that analyzes analog filter circuits. Reads a netlist (e.g. LTspice) and calculates the symbolic transfer function. Supported components: R, L, C, voltage, current, opamp
    Downloads: 3 This Week
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  • 3
    gsasnp2

    gsasnp2

    PubMed ID: 29562348 / DOI: 10.1093/nar/gky175

    * GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data...
    Downloads: 0 This Week
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  • 4
    Math Objects is a template based math library for C++ that can handle complex mathematical objects. It can compute the Smith form for matrices of polynomials and the Smith-McMillan form of transfer function matrices
    Downloads: 0 This Week
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  • 5
    JMCAD - modeling of dynamic systems
    ...With JMCAD, users can quickly develop software or "virtual" prototypes of systems or processes to demonstrate their behavior prior to building physical prototypes. The user builds his system model by selecting predefined blocks from a block library and simply wiring the blocks together. Each block of the diagram performs a function. Users can also create custom blocks in Java and add them to the JMCAD block library. JMCAD is a block diagram language for creating complex nonlinear dynamic systems.
    Downloads: 11 This Week
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  • 6

    Maxima poles-zeros for analog circuits

    Maxima script for symbolic analysis of analog integrated circuits

    Script for Maxima (a Computer Algebra System) that performs symbolic analysis of analog integrated circuits. Script allows to find approximated poles and zeros of transfer functions, developed and optimized for transfer functions of amplifiers, but can be used also for any general analog circuit. The script calculates DC transfer function, zeros, poles and creates Bode plots. DC transfer function, zeros, poles result simplified so main contributing elements can be easily identified. Poles and zeros approximation principle mainly taken from the paper "INDIRECT FEEDBACK COMPENSATION TECHNIQUES FOR MULTI-STAGE OPERATIONAL AMPLIFIERS" by Vishal Saxena Usage examples also can be taken from "Maxima Opamp Analisys" project Any comments bug reports and improvement suggestions are welcomed! ...
    Downloads: 1 This Week
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  • 7

    BiomeNet

    BAYESIAN INFERENCE OF METABOLIC DIVERGENCE AMONG MICROBIAL COMMUNITIES

    Metagenomics yields enormous numbers of microbial sequences that can be assigned a metabolic function. Using such data to infer community-level metabolic divergence is hindered by the lack of a suitable statistical framework. Here, we describe a novel hierarchical Bayesian model, called BiomeNet (Bayesian inference of metabolic networks), for inferring differential prevalence of metabolic networks among microbial communities.
    Downloads: 0 This Week
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