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Powerful Audio Analysis SoftwareWavePad features two very useful tools for performing sound analysis on the spectral content of audio, the Fast Fourier Transform (FFT) and the Time-Based Fast Fourier Transform (TFFT), in addition to extensive audio editing functionality. Typical Applications
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In lab, you will have several opportunities to design and conduct independent investigations. Form of an analog voltage whose amplitude varies continuously over time. This voltage is monitored by the. Format resembles a traditional chart recorder with a scrolling area of the window acting as the paper. After processing, measure the output file using Amplitude Statistics. Make sure the Total RMS descriptor is in line with the ACX requirements. Fine tune as needed. The key here is you are able to specify both the average loudness (Target Loudness) as well as the maximum True Peak. As far as the Noise Floor compliance that's a different issue.
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FFT Graph
The FFT graph works by taking a small sample of audio and plotting a graph of frequency (x-axis, in Hz) versus intensity (y-axis, in dB). The graph features two different plots if the audio is stereo, otherwise just the one plot will be displayed. The frequency of the graph ranges from 0Hz to half the sample rate of the audio, whilst the intensity range goes from -128dB to 0dB.TFFT Graph
The TFFT graph works by plotting the intensity of the frequency spectrum of the audio across time, and represents intensity through color. The x-axis is used for time (in hh:mm:ss format) and spans the duration of the audio selection. The y-axis is used for frequency (in Hz) and depicts the spectrum of the audio at any one point in time (like the FFT it goes up to half the sample rate of the audio). Then at every point in time and frequency, an intensity calculation is done and a dB figure is calculated (between -128dB and 0dB). This figure is mapped to a color intensity scale and then drawn on the graph, with pure black representing -128dB and pure white representing 0dB.Temporal Frequency Analysis (TFFT) | |
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Analysis Features
Editing Features
About FFT Graphs
About TFFT Graphs
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