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| pa-octave-and-acoustic-analysis [2026/01/30 21:30] – reid_go-ci.com | pa-octave-and-acoustic-analysis [2026/01/30 21:59] (current) – reid_go-ci.com | ||
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| + | Octave analysis features two signal computation options, SLM: Sound Level Meter and APS: Auto-power Spectra. | ||
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| + | ===Octaves=== | ||
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| + | Octaves are defined as a doubling of magnitude. | ||
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| + | ===Auto-power Spectra=== | ||
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| + | APS functions the same in the octave analysis as in FFT spectra analysis. | ||
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| + | ===Sound Level Meter=== | ||
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| + | SLM computations results in three output streams for each selected channel. | ||
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| + | Sound level meters apply a single frequency weighting filter to better observe frequencies in a desired frequency band. These bands are typically desined to represent the frequency spectrum which humans are naturally inclined to hear. | ||
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| + | These frequency bands are described as A, B, C, or Z weighted. | ||
| + | A - strongly weights frequencies humans are sensitive to | ||
| + | B - Designed for approximate human hearing at moderate sound levels | ||
| + | C - Flatter weight response, designed for loud impulsive noises | ||
| + | Z - No weighting | ||
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| + | Time Streams: | ||
| + | SLM Time Trace - continuous sampled time history of Sound level | ||
| + | SLM Values - interval based results taken from time stream. | ||
| + | dBHistograms - displays number of occurrences of sound level data in bins based on time spent in range and number of times SLm reached the bin | ||
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