Spectra1A powerful stand-alone real-time spectrum analyzer (RTA) for your PC, that uses your Windows soundcard | |
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Spectra1 Ranking & Summary
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- License:
- Free to try
- Price:
- Free to try
- Publisher Name:
- By Bosworks
- Operating Systems:
- Windows 2000, Windows 98, Windows Me, Windows, Windows XP, Windows NT
- Additional Requirements:
- Windows 98/Me/NT/2000/XP
- File Size:
- 879.04K
- Total Downloads:
- 1222
Spectra1 Tags
- analyzer Analyze spectrum analyzer spectrum soundcard frequency soundcard analyze audio record Soundcard Measurement manage soundcard soundcard manager soundcard organzier test soundcard soundcard controler soundcard control record line in line monitor windows 2007 download aplikasi line mobile phone pc intel corps fixed free pemutar musik dc5 to jpeg drivermagic 2.0 flash player aero settelite tv player course editor golf cmv to pict roland rhythm free nero 6.5 ea sport 2005
Spectra1 Description
Spectra1 is a powerful stand-alone real-time spectrum analyzer (RTA) for your PC, that uses your Windows soundcard. All you need is a computer with a soundcard! What is a spectrum analyzer? (RTA) A spectrum analyzer is something that allows you to view the intensity of the various frequencies in audio content. This is useful for trying to determine if there is a frequency that is too loud or too quiet in a mix. Spectra1 allows real-time monitoring of any record line from your soundcard. With its 62 band display, you can visualize the frequency content of your audio with excellent resolution. What is a spectrograph? Basically it is a "history" of frequency data drawn out in color intensity over time. The bottom half is the lower frequency content, and the upper half is the higher. It represents the full spectrum. The louder the frequency content, the "brighter" the color intensity. This is useful if you feel you may have too much harmonic content in a certain frequency band - you would see a strip of high intensity color in that particular location as opposed to a uniform distribution of intensities. This is also true for finding lacking frequencies in audio content - you would see dark bands.
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