Advanced Analysis and Signal Processing Libraries

NI Measurement Studio provides powerful analysis classes in Visual Basic .NET and Visual C# .NET to convert raw data into meaningful information. With Measurement Studio analysis interfaces, you can employ a wide variety of signal processing and data analysis tools, such as curve fitting, spectral analysis, statistics, and visualization. By performing analysis inside your application, you can integrate more intelligent data processing before storing or presenting the information.

Key Features of Advanced Analysis Libraries

With Measurement Studio analysis functions, you have everything you need to perform the following types of operations:

Use advanced signal measurement functions such as peak detection, harmonic analysis, pulse analysis, and spectral analysis.
Perform statistical analysis of your data, including one, two, and three-way analysis of variance (ANOVA), histograms, and common statistical functions.
Generate complex composite signals for simulation or generation using sine, triangle, square, and sawtooth signals; Gaussian, white, and uniform noise; and arbitrary wavetables.
Digitally filter your data using versatile, configurable filters for all common filter designs.
Perform time-domain signal processing such as convolution, deconvolution, correlation, decimation, integration, and differentiation.
Perform frequency-domain signal processing, such as windowing, and forward and inverse fast Fourier transform (FFT), Hartley, Hilbert, and Laplace transforms.
Perform linear algebra operations such as solving equation systems, computing eigenvalues and eigenvectors, decomposition, factorization, and vector and matrix algebra.
Fit your data to linear, polynomial, exponential, and arbitrary nonlinear equations.
Compute important mathematical functions such as probability distributions, error function, and complementary error function.

See a complete list of analysis functions.