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Related Experiment Videos

Simple linear filtering of time series data on a programmable calculator

R Franklin

    Computers in Biology and Medicine
    |January 1, 1982
    PubMed
    Summary

    This program computes simple moving averages for time series data using the Texas Instruments SR-52 calculator. It offers ease of use and time savings for analyzing data sequences.

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    Area of Science:

    • Computational Statistics
    • Data Analysis

    Background:

    • Time series data analysis is crucial for understanding trends.
    • Simple moving averages are a fundamental technique for smoothing time series.
    • Efficient computation of moving averages can be challenging.

    Purpose of the Study:

    • To present a program for calculating simple moving averages on the Texas Instruments SR-52.
    • To emphasize ease of use and time efficiency in the program design.
    • To provide a tool for analyzing the shape of time-ordered data sequences.

    Main Methods:

    • Development of a program for the Texas Instruments SR-52 programmable calculator.
    • Implementation of a simple moving average algorithm.
    • Detailed explanation of an internal data reordering technique for moving window algorithms.

    Main Results:

    • A functional program for computing simple moving averages on the SR-52.
    • Demonstration of a novel data reordering method for moving window calculations.
    • The program's output aids in identifying patterns in time series data.

    Conclusions:

    • The developed program offers an efficient method for calculating moving averages on a specific programmable calculator.
    • The explained data reordering technique has broader applicability in algorithms involving moving windows.
    • This approach facilitates the analysis of time series data shapes.

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