The Method of Least Squares and Signal Analysis
This chapter deals with three common problems in experimental science. The first is fitting a discrete set of experimental data with a mathematical function. The function usually has some parameters that must be adjusted to give a “best” fit. The second is to detect a periodic change in some variable—a signal—which may be masked by random changes—noise—superimposed on the signal. The third is to determine whether sets of apparently unsystematic data are from a random process or a process governed by deterministic chaotic behavior.
KeywordsPower Spectrum Fourier Series Autocorrelation Function Sine Wave Periodic Signal
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