4: Analog and Digital Data

Intrumental Analysis · LibreTexts

0%

Contents

    Text

    Size
    100%
    Theme
    Typeface
    Line length
    Spacing

    From LibreTexts, under CC BY-NC-SA 4.0, as the source states it; its equations are written in TeX, which the PDF shows typeset. This page at LibreTexts.

    • 4.1: Analog and Digital Data
      The analog trace of an experiment—such as a spectrum— provides a permanent record of an experiment; it is not, however, in form that gives us access to the raw data. We can take the image and use digitizing software to extract a digital version of the data, or we can design our instruments to collect the data in digital form by sampling the analog signal at preset intervals and then saving the data.
    • 4.2: Working With Binary Numbers
      Humans are comfortable working with numbers expressed using a decimal notation that relies on 10 unique digits (0, 1, 2, 3, 4, 5, 6, 7, 8, and 9), but computers work with information using a binary notation that is limited to just two unique digits (0 and 1). It is useful, therefore, to be familiar with how we represent numbers in both decimal and binary form.
    • 4.3: Cleaning Up Signals and Counting Events
      How an instrument handles signals depends on what is being measured. Broadly speaking an instrument is likely to include one or more of the following: the ability to clean up the raw signal and convert it into a form that we can analyze, the ability to count events in binary form, the ability to convert binary information into a digital information, and the ability to convert between digital and analog signals. In this section we will consider the first two of these topics.

    This page titled 4: Analog and Digital Data was last modified on Sun, 28 Aug 2022 20:54:33 GMT and is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by David Harvey.