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Electroacoustics Toolbox 1.2.1


About Electroacoustics Toolbox
The Faber Electroacoustics Toolbox (FEaT) is a modularized, multi-channel dynamic audio and acoustics signal analyzer and data acquisition platform for the Mac.

FEaT brings powerful new tools to the Macintosh platform for multi-channel data acquisition and real-time analysis of electrical, acoustical, and electroacoustic signals and systems. Electroacoustics Toolbox enables precision measurements of acoustic quantities, such as equivalent and time-weighted sound levels, as well as acoustic and electroacoustic systems, such as listening rooms and loudspeakers. The software is designed to work with any Mac-compatible audio hardware and supports multiple channels of 8, 16, 24, or 32-bit data with sample rates as high as the hardware will support.

What’s New in this Version
- Electroacoustics Toolbox now supports quasi-anechoic frequency response measurements.  The measured impulse response can be truncated (windowed), which will cause the transfer function measurements to be recomputed based in the shortened impulse response.
- The Meter Bridge tool now correctly saves and restores its selected input device.
- The Dual FFT Analyzer’s auto-scale function always sets the vertical scale to 0.2 per division when viewing cross correlation data.
- Using reduced frequency spans in the Dual FFT Analyzer could previously result in corrupted measurements when using the analyzer’s built-in excitation signal.  This has been repaired.
- Oscilloscope displays are more robust, particularly for large time scales.
- The Spectrogram 3D display no longer gets reset when clicking the Stop All button in the project window.
- Applescript is now supported by the feature-limited, 30-day demo.
- Several other bugs have been fixed.

Electroacoustics Toolbox

System Requirements

  • Mac OS X 10.3.9 or later
  • Core Audio compatible audio device

Download Details

Company:
Faber Acoustical S&T
Version:
1.2.1
Post Date:
September 5, 2007
License:
Demo
File Size:
7MB
URL Type:
Download
Download ID:
12378
 
Download 7MB

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