Appendix: Case Studies and Simulations.

[A. Can smoothed noise may be mistaken for an actual signal?] 
[B. Is this a Signal or just Noise?] 
[C. Buried treasure]
[D. The Battle Rounds: a comparison of methods] 
[E. Ensemble averaging patterns in a continuous signal]
[F. Harmonic Analysis of the Doppler Effect]
[G. Measuring spikes]
[H. Fourier deconvolution vs curve fitting]
[I. Digitization noise]
[J. Very low signal-to-noise ratios]
[K. Signal processing and the search for extraterrestrial intelligence]
[L. Why measure peak area rather than peak height?]
[M. Peak fitting in Excel and OpenOffice Calc]
[N. Using macros to extend the capability of spreadsheets]
[O. Random walks and baseline correction]
[P. Modulation and synchronous detection]
[Q. Measuring a buried peak]
[R. Signal and Noise in the Stock Market]
[S. Measuring the Signal-to-Noise Ratio of Complex Signals] 
[T. Dealing with wide ranging signals]
[U. Measurement Calibration]
[V. Numerical precision limits of computer hardware and software]
[W. Low-cost computer hardware: The Raspberry Pi]

[X. Batch processing]
[Y: Real-time signal processing]
[Z: Dealing with variable data arrays in spreadsheets]
[AA: Computer simulation of signals and instruments]
[AB: Who uses this web site and associated software?]
[AC. The Law of Large Numbers] 
[AD. Time-resolved Classical least Squares]
[AE. The Mystery Peak] 
[AF. Developing Matlab Live Scripts and Apps]
[AG. Using real-signal modeling to determine measurement accuracy]

This page is part of "A Pragmatic Introduction to Signal Processing", created and maintained by Prof. Tom O'Haver , Department of Chemistry and Biochemistry, The University of Maryland at College Park. Comments, suggestions and questions should be directed to Prof. O'Haver at toh@umd.edu. Updated July, 2022.