National Instruments 374318A-01 Manuale Utente
Chapter 2
Measurement Studio Measurement Computing Edition .NET Class Libraries
2-2
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Analysis
The Measurement Studio Analysis .NET class library is in the
NationalInstruments.Analysis
namespace. The Analysis class
library includes a set of classes that provides various digital signal
processing, signal filtering, signal generation, peak detection, and other
general mathematical functionality. Use this library to analyze acquired
data or to generate data.
processing, signal filtering, signal generation, peak detection, and other
general mathematical functionality. Use this library to analyze acquired
data or to generate data.
The Analysis class library includes the following functionality:
•
Sawtooth, sine, square, triangle, and basic function wave generators.
•
Bessel, Chebyshev, Inverse Chebyshev, Windowed, Kaiser, and
Elliptic Low, High, Bandpass, and Bandstop filters
Elliptic Low, High, Bandpass, and Bandstop filters
•
Signal processing functions such as convolution, deconvolution,
correlation, decimation, integration, and differentiation
correlation, decimation, integration, and differentiation
•
FFT, Inverse FFT, Real FFT, Fast Hartley, Inverse Fast Hartley, Fast
Hilbert, Inverse Fast Hilbert, DST, Inverse DST, DCT, and Inverse
DCT transformations
Hilbert, Inverse Fast Hilbert, DST, Inverse DST, DCT, and Inverse
DCT transformations
•
Linear algebra functions such as determinant, check positive
definiteness, calculate dot product, and other various matrix functions
definiteness, calculate dot product, and other various matrix functions
•
Scaled and unscaled windowing classes
•
Common statistical functions such as mean, median, mode, and
variance
variance
•
Exponential, linear, and polynomial curve fitting functions
•
Signal generation functions
Refer to the following lists to determine the type of measurements available
in the Analysis .NET libraries.
in the Analysis .NET libraries.
Measurements
•
Impulse Response Function
•
Network Functions (avg)
Signal Generation
•
Arbitrary Wave
•
Chirp Pattern
•
Gaussian White Noise
•
Sine Pattern