Measure time in python

    • [PDF File] librosa: Audio and Music Signal Analysis in Python

      http://5y1.org/file/19669/librosa-audio-and-music-signal-analysis-in-python.pdf

      Abstract—This document describes version 0.4.0 of librosa: a Python pack-age for audio and music signal processing. At a high level, librosa provides implementations of a variety of common functions used throughout the field of music information retrieval. In this document, a brief overview of the library’s functionality is provided, along with explanations of the …

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    • [PDF File] A shape-based similarity measure for time series data with …

      http://5y1.org/file/19669/a-shape-based-similarity-measure-for-time-series-data-with.pdf

      This paper introduces a shape-based similarity measure, called the angular metric for shape similarity (AMSS), for time series data. Unlike most similarity or dissimilarity measures, AMSS is based not on individual data points of a time series but on vectors equivalently rep-resenting it.

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    • [PDF File] Comparing entropy with tests for randomness as a measure …

      http://5y1.org/file/19669/comparing-entropy-with-tests-for-randomness-as-a-measure.pdf

      This paper compares various tests for randomness with existing entropy-based measurements such as sample entropy, permutation entropy and multi-scale entropy. Our experimental results indicate that the test statistics of the runs test and permutation test are often highly correlated with entropy scores and may be able to provide further information …

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    • [PDF File] Python Date Time - Picone Press

      http://5y1.org/file/19669/python-date-time-picone-press.pdf

      Python Date & Time. The inverse of time.gmtime: accepts a time instant in time-tuple form and returns the same instant as a floating-point number of seconds since the epoch. 12. calendar.weekday(year,month,day) Returns the weekday code for the given date. Weekday codes are 0 (Monday) to 6 (Sunday); month numbers are 1 (January) to 12 (December).

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    • [PDF File] A Method for Estimating the Entropy of Time Series Using …

      http://5y1.org/file/19669/a-method-for-estimating-the-entropy-of-time-series-using.pdf

      The LogNNet reservoir matrix is filled with time series elements according to our algorithm. The accuracy of the classification of images from the MNIST-10 database is considered as the entropy measure and denoted by NNetEn. The novelty of entropy calculation is that the time series is involved in mixing the input information in the reservoir.

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    • [PDF File] How to Write Scripts for Test Script Processing (TSP

      http://5y1.org/file/19669/how-to-write-scripts-for-test-script-processing-tsp.pdf

      What is TSP? Keithley’s TSP is a flexible hardware/software architecture that allows message-based programming, much like SCPI, with enhanced capabilities for controlling test sequencing/ flow, decision-making, and instrument autonomy. TSP-enabled instruments operate like conventional SCPI instruments by responding to a sequence of …

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    • [PDF File] Ghostscript wrapper for …

      http://5y1.org/file/19669/ghostscript-wrapper-for.pdf

      Estimating the noise level from a single image seems like an impossible task: we need to recognize whether local im-age variations are due to color, texture, or lighting variations from the image itself, or due to the noise. It might seem that accurate estimation of the noise level would require a very sophisticated prior model for images.

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    • [PDF File] Microsoft Word

      http://5y1.org/file/19669/microsoft-word.pdf

      In addition to speech recognition, dynamic time warping has also been found useful in many other disciplines [8], including data mining, gesture recognition, robotics, manufacturing, and medicine. Dynamic time warping is commonly used in data mining as a distance measure between time series.

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    • [PDF File] scikit-rf: An open source Python package for microwave …

      http://5y1.org/file/19669/scikit-rf-an-open-source-python-package-for-microwave.pdf

      scikit-rf is an open-source Python package produced for RF/Microwave engineering. The package provides a modern, object-oriented library for RF network analysis, circuit building and calibration. Below is a current non-exhaustive feature list of scikit-rf (as of version 0.18).

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    • [PDF File] Theory and Measurement of the Modulation Transfer …

      http://5y1.org/file/19669/theory-and-measurement-of-the-modulation-transfer.pdf

      It is obvious that the quality of the image will depend in some way on the size and shape of the PSF, and in general the smaller the spot the better. However, it is not so obvious how to derive a simple and meaningful measure of image quality from the often-complex form of the Point Spread Function.

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    • [PDF File] How to Measure Energy Consumption in Machine Learning …

      http://5y1.org/file/19669/how-to-measure-energy-consumption-in-machine-learning.pdf

      The goal of this case study is to show: (i) how to measure energy consumption in real time using one of the models proposed in this study; (ii) compare the energy consumption between the VFDT and HAT algorithms; (iii) compare the accuracy of the VFDT and HAT algo-rithms. Dataset size: Large-scale dataset with 1M instances.

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    • [PDF File] Optimization of CPMG sequences to measure NMR …

      http://5y1.org/file/19669/optimization-of-cpmg-sequences-to-measure-nmr.pdf

      vide key information such as porosity and permeability for hy-drological characterization of geological material. In partic-ular the NMR transverse relaxation time T2 is used to esti-mate permeability since it reflects a pore-size dependent re-laxation process. The measurement sequence (CPMG) usu-ally consists of several thousands of …

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    • [PDF File] Towards Effective Trajectory Similarity Measure in Linear Time

      http://5y1.org/file/19669/towards-effective-trajectory-similarity-measure-in-linear-time.pdf

      In this paper, we propose a novel trajectory similarity measure termed ITS, which is robust to noise and can be evaluated in linear time. ITS converts trajectories into fixed-length vectors and compares them based on their respective vectors’ distance. Furthermore, ITS utilizes interpo-lation to get fixed-length vectors in linear time.

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    • [PDF File] Distance Measures for Time Series in R: The TSdist Package

      http://5y1.org/file/19669/distance-measures-for-time-series-in-r-the-tsdist-package.pdf

      Abstract The definition of a distance measure between time series is crucial for many time series data mining tasks, such as clustering and classification. For this reason, a vast portfolio of time series distance measures has been published in the past few years. In this paper, the TSdist package is presented, a complete tool which provides a unified …

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    • [PDF File] How to Quantify Polarization in Models of Opinion Dynamics

      http://5y1.org/file/19669/how-to-quantify-polarization-in-models-of-opinion-dynamics.pdf

      In contrast to standard deviation, for all networks the group-based measure increases over time, which is con-sistent with real-world perceptions of how polarization can evolve. This finding provides evidence that the group-based measure may be a more appropriate method for quantifying polarization than the variance-based one.

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    • [PDF File] A Hitchhiker’s Guide to Structural Similarity

      http://5y1.org/file/19669/a-hitchhiker-s-guide-to-structural-similarity.pdf

      MATLAB (Fast) “Rectangular" refers to using a constant weight window function to calculate local statistics, while “Gaussian" refers to using a Gaussian-shaped window function to calculate local statistics, as in [19]. Only the Python and MATLAB implementations allow the user to set parameters such as the SSIM window size.

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    • [PDF File] untitled [lee.org]

      http://5y1.org/file/19669/untitled-lee-org.pdf

      The stroboscopic visibility measure (SVM) is a method used to quantify the stroboscopic effect visibility in general illumination application. SVM has been defined previously based on a limited number of frequencies and participants. To validate and extend SVM, five perception experiments are presented, measuring the visibility threshold of light …

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    • [PDF File] Estimating time series models by state space methods in

      http://5y1.org/file/19669/estimating-time-series-models-by-state-space-methods-in.pdf

      Finally, it incorporates recent advances in state space model estimation, including the collapsed. estimating four of the most popular time serie. models: SARIMAX, unobservedcomponents, VARMAX, and dynamic factor. odels.One note is warranted. bout the Python code presented in this paper. In Python, m.

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