The LabVIEW Advanced Signal Processing Toolkit includes new features for making advanced analysis easier to apply and learn. Engineers, scientists and educators can use new Express VIs (configuration-based functions) to interactively specify their signal processing parameters and review immediate results. The toolkit also delivers a new time-series analysis component for tasks such as model-based spectral analysis, which they can use for high-resolution spectral analysis on small data sets. For analysis such as data mining and feature extraction in applications including biomedical, mechanical and seismological signals, engineers and scientists can use the independent component analysis and principal component analysis tools as part of the new time-series analysis functionality.
"The new LabVIEW Advanced Signal Processing Toolkit gives researchers and educators easy access to advanced analysis," said Sam Shearman, NI LabVIEW signal processing senior product manager. "LabVIEW users can take advantage of LabVIEW Express technology to tweak parameters and immediately see effects on their signals. Also, with new measurement-oriented functionality, they can rapidly apply advanced signal processing to their test and measurement projects."
Alternative approaches require engineers and scientists to develop their applications in non-intuitive, text-based programming languages and integrate several vendors' products to analyze live signal sources. With the LabVIEW Advanced Signal Processing Toolkit, they can access new features for simplifying these common measurement-oriented tasks with a single software tool. For instance, online Gabor transform and expansion routines included in the toolkit work with streaming data sources to help engineers and scientists acquire and immediately analyze live data. The toolkit also features high-level tools for wavelet applications such as PDF estimation and signal denoising. Wavelets have proven useful for signal and image processing for peak, edge and ridge detection.
The LabVIEW Advanced Signal Processing Toolkit also includes the LabVIEW Digital Filter Design Toolkit 7.5, which provides tools for design, validation and implementation of software-based digital filters with LabVIEW FPGA and C code generation capabilities for chip-level implementation. Design and test engineers can use this toolkit, which is also available separately, to ensure a seamless digital filter design process from conception to completion while reducing development costs.
For more information about the LabVIEW Advanced Signal Processing Toolkit, readers can visit www.ni.com/analysis. To learn about educational discounts for qualifying academic institutions, readers can visit www.ni.com/academic.
About National Instruments
National Instruments ( www.ni.com) is a technology pioneer and leader in virtual instrumentation -- a revolutionary concept that has changed the way engineers and scientists in industry, government and academia approach measurement and automation. Leveraging PCs and commercial technologies, virtual instrumentation increases productivity and lowers costs for test, control and design applications through easy-to-integrate software, such as NI LabVIEW, and modular measurement and control hardware for PXI, PCI, USB and Ethernet. Headquartered in Austin, Texas, NI has more than 3,500 employees and direct operations in nearly 40 countries. In 2004, the company sold products to more than 25,000 companies in 90 countries. For the past six years, FORTUNE magazine has named NI one of the 100 best companies to work for in America. Readers can obtain investment information from the company's investor relations department by calling 512-683-5090, e-mailing firstname.lastname@example.org or visiting www.ni.com/nati.
Pricing and Contact Information LabVIEW Advanced Signal Processing Toolkit Version 7.5 Priced from $1,495 Web: www.ni.com/analysis 11500 N Mopac Expwy, Austin, Texas 78759-3504 Tel: 800-258-7022, Fax: 512-683-9300 E-mail: email@example.com
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National Instruments, Austin Editor Contact: Jennifer Howard-Brown, 512-683-8713 or Reader Contact: Ernest Martinez, 800-258-7022