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.
Whats 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.
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
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