Related Documentation (Advanced Signal Processing Toolkit)

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The following documents contain information that you may find helpful as you use this help file.

• LabVIEW Advanced Signal Processing Toolkit Readme—Use this file to obtain introductory information about the Advanced Signal Processing Toolkit, such as overview, system requirements, installation instructions, and known issues with LabVIEW. The Advanced Signal Processing Toolkit includes the LabVIEW Time Frequency Analysis Tools, LabVIEW Time Series Analysis Tools, and LabVIEW Wavelet Analysis Tools. Open this readme by navigating to the labview\readme directory and opening readme_ASPT.html.
• Advanced Signal Processing Toolkit Example VIs—Refer to the labview\examples\Time Frequency Analysis, labview\examples\Time Series Analysis, and labview\examples\Wavelet Analysis directories for example VIs that demonstrate common tasks using the Time Frequency Analysis Tools, Time Series Analysis Tools, and Wavelet Analysis Tools respectively. You also can access these VIs by selecting Help»Find Examples from the pull-down menu and selecting Toolkits and Modules»Time Series Analysis, Toolkits and Modules»Time Series Analysis, and Toolkits and Modules»Wavelet Analysis in the NI Example Finder window.
• System Identification Example VIs—Refer to the labview\examples\System Identification directory for example VIs that demonstrate common tasks using the System Identification VIs. You also can access these VIs by selecting Help»Find Examples from the pull-down menu and selecting Toolkits and Modules»System Identification in the NI Example Finder window.
• LabVIEW Digital Filter Design Toolkit documentation.
• LabVIEW Control Design and Simulation Module documentation.
• LabVIEW System Identification VIs Algorithm References—Use this manual to learn about the algorithms and function references that the System Identification VIs use.
• Additional LabVIEW documentation.

Note  The following resources offer useful background information on the general concepts discussed in this documentation. These resources are provided for general informational purposes only and are not affiliated, sponsored, or endorsed by National Instruments. The content of these resources is not a representation of, may not correspond to, and does not imply current or future functionality in the Advanced Signal Processing Toolkit or any other National Instruments product.

• Hyndman, R.J. (n.d.) Time Series Data Library, http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/
• Qian, Shie. 2001. Introduction to Time-Frequency and Wavelet Transforms. Upper Saddle River, New Jersey: Prentice Hall PTR.
• Ljung, L. 1999. System Identification Theory for the User. 2nd edition. Prentice Hall.
• Hua, Y., and T. K. Sarkar. 1990. "Matrix Pencil Method for Estimating Parameters of Exponentially Damped/Undamped Sinusoids in Noise." IEEE Transaction on Acoustics, Speech, and Signal Processing vol. 38.5: 814-824.
• NIST/SEMATECH e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook, 2005.
• Chatfield, Chris. 2004. The Analysis of Time Series: An Introduction. 6th edition. Chapman & Hall/CRC.
• Shumway, Robert H., and David S. Stoffer. 2000. Time Series Analysis and Its Applications. New York: Springer-Verlag.
• Rivola, A., and P.R. White. "Detecting System Non-linearities by Means of Higher Order Statistics."
• Aapo Hyvarinen and Erkki Oja. 2000. "Independent Component Analysis: Algorithms and Applications." Neural Networks Research Centre, Helsinki University of Technology.
• Peeters, B., and G. De Roech. 1999. "Reference-based Stochastic Subspace Identification for Output-Only Modal Analysis." Mechanical Systems and Signal Processing 13(6), 855-878.
• Goethals, Ivan, Laurent Mevel, Albert Benveniste, and Bart De Moor. "Recursive Output Only Subspace Identification for In-flight Flutter Monitoring."
• Bendat, J.S., and A.G. Piersol. 2010. Random data analysis and measurement procedures. 4th edition. John Wiley and Sons.
• Mallat, Stephane. 1999. A Wavelet Tour of Signal Processing. San Diego, California: Academic Press.
• Therrien, Charles W. 1992. Discrete Random Signals and Statistical Signal Processing. Upper Saddle River, New Jersey: Prentice Hall PTR.