DSP Development Corp. announces DADiSP 6.7

Nov. 9, 2015

Newton, MA. DSP Development Corp. has announced DADiSP 6.7, the newest release of the engineering spreadsheet designed specifically for technical data analysis. DADiSP 6.7 supports native 64-bit execution on all Windows 64-bit operating systems. Large memory access, optimized numerics, and buffered data management provide performance gains of 15% to 240% over previous versions of DADiSP.

DADiSP 6.7 offers streamlined CSV, text, and binary data import. A common timebase can be assigned multiple input series, and the results can be plotted individually in separate windows or combined into a single stripchart display. Vendor-specific data import modules provide specialized support for many common industry text and binary file formats.

DADiSP 6.7 extends DADiSP’s Series Processing Language to support standard programming constructs. SPL’s C/C++ syntax offers a familiar programming style, allowing users to create custom routines using well understood programming techniques.

DADiSP 6.7 also adds over 100 new or enhanced analysis routines spanning the areas of matrix and series manipulation, signal processing, math, color, series generation, curve fitting and statistics.

“DADiSP 6.7 now offers over 2000 analysis routines with an intuitive and familiar user interface to provide one of the most comprehensive data-analysis tools available today,” said Randy Race, DSP’s chief technical officer. “DADiSP is used by tens of thousands of scientists and engineers worldwide as a high productivity alternative to traditional spreadsheet, FORTRAN, C/C++, and MATLAB programming.”

DADiSP 6.7 for Windows is priced at $1995.00 and includes 90 days of technical support. DADiSP 6.7 is now available for general release. A free DADiSP worksheet browser and 15 day full product license is available.

Founded in 1984, DSP Development Corp. creates and markets graphical data analysis, acquisition, and scientific visualization software for scientists and engineers in diverse technical fields, such as automation, data acquisition, real-time process control, image processing, digital signal processing, computer-aided engineering, and computer-aided testing.


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