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quantities

  • Spikes can be taken as absolute quantities of measuring values which are large than approximately fo

    Spikes can be taken as absolute quantities of measuring values which are large than approximately four (expressed as variable [Times_SD] in the program)times of the standard deviation of the time series, and can be removed by repeating 3 times with each time series. When a measuring value with the deviation from the mean larger than four times of the standard deviation, the variable can be taken as NO_VALUE, and the number of spikes is saved into the variable [SpikeNum]. If the variable [Times_SD] is taken as four, many records will be removed, so the variable [Times_SD] can be taken as larger, for example eight.

    標簽: approximately quantities measuring absolute

    上傳時間: 2015-11-09

    上傳用戶:yangbo69

  • Delta Sigma的ADC橋測量技術

      Sensors for pressure, load, temperature, acceleration andmany other physical quantities often take the form of aWheatstone bridge. These sensors can be extremely linearand stable over time and temperature. However, mostthings in nature are only linear if you don’t bend them toomuch. In the case of a load cell, Hooke’s law states that thestrain in a material is proportional to the applied stress—as long as the stress is nowhere near the material’s yieldpoint (the “point of no return” where the material ispermanently deformed).

    標簽: Delta Sigma ADC 測量技術

    上傳時間: 2013-11-13

    上傳用戶:墻角有棵樹

  • WP276 -可編程的開發和測試

    We all know the benefits of using FieldProgrammable Gate Arrays (FPGAs): no NRE, nominimum order quantities, and faster time-tomarket.In an ideal world, designs would never needto be changed because of design errors, but we allknow that sometimes this is necessary.

    標簽: 276 WP 可編程 測試

    上傳時間: 2013-11-04

    上傳用戶:leixinzhuo

  • a collection of M-files to study concepts in the following areas of Fuzzy-Set-Theory: Fuzzy or Multi

    a collection of M-files to study concepts in the following areas of Fuzzy-Set-Theory: Fuzzy or Multivalued Logic, The Calculus of Fuzzy, quantities, Approximate Reasoning, Possibility Theory, Fuzzy Control, Neuro-Fuzzy Systems.

    標簽: Fuzzy-Set-Theory collection following concepts

    上傳時間: 2015-04-03

    上傳用戶:lili123

  • A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of

    A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of discrete time series. Noother wavelet package is necessary -- everything is contained in this archive. The C-code computes the DWT and maximal overlap DWT. MATLAB routines are then used to compute such quantities as the wavelet variance, covariance, correlation, cross-covariance and cross-correlation. Approximate confidence intervals are available for all quantities except the cross-covariance and cross-correlation. A set of commands is provided. For a description of this example, please see http://www.eurandom.tue.nl/whitcher/software/.

    標簽: univariate and bivariate analysis

    上傳時間: 2015-06-23

    上傳用戶:chongcongying

  • Observers in Control Systems

    Control systems are used to regulate an enormous variety of machines, products, and processes. They control quantities such as motion, temperature, heat flow, fluid flow, fluid pressure, tension, voltage, and current. Most concepts in control theory are based on having sensors to measure the quantity under control. In fact, control theory is often taught assuming the availability of near-perfect feedback signals. Unfortunately, such an assumption is often invalid. Physical sensors have shortcomings that can degrade a control system.

    標簽: Observers Control Systems in

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Machine Learning Healthcare Technologies

    Much has been written concerning the manner in which healthcare is changing, with a particular emphasis on how very large quantities of data are now being routinely collected during the routine care of patients. The use of machine learning meth- ods to turn these ever-growing quantities of data into interventions that can improve patient outcomes seems as if it should be an obvious path to take. However, the field of machine learning in healthcare is still in its infancy. This book, kindly supported by the Institution of Engineering andTechnology, aims to provide a “snap- shot” of the state of current research at the interface between machine learning and healthcare.

    標簽: Technologies Healthcare Learning Machine

    上傳時間: 2020-06-10

    上傳用戶:shancjb

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