Difference between revisions of "Sound Quality Lite"

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No change in size ,  20:14, 29 June 2020
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Click  
Click  
[[Image:SOUND_QUALITY_02.png|framed|none]]
[[Image:SOUND_QUALITY_02.png|framed|none]]
to launch the software. The NVGate software is required to work and will be started automatically if not already running.
To launch the software. The NVGate software is required to work and will be started automatically if not already running.


The following window is displayed when it is ready.
The following window is displayed when it is ready.
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=====Bandwidth of Band Pass and Band Stop filters=====
=====Bandwidth of Band Pass and Band Stop filters=====
The lower pass frequency (f_lower) is defined as the bandwidth substracted from the upper pass frequency (f_upper). The bandwidth can be specified in several ways in the Filter Control Panel either directly or dependent on frequency and the bandwidth type. Available bandwidth types are Absolute, Octave, Bark and ERB. Except for the type Absolute an additional divider (fraction) can be specified. For example if the bandwidth type is Octave and fraction is 3 then the bandwidth is 1/3 Octave.
The lower pass frequency (f_lower) is defined as the bandwidth subtracted from the upper pass frequency (f_upper). The bandwidth can be specified in several ways in the Filter Control Panel either directly or dependent on frequency and the bandwidth type. Available bandwidth types are Absolute, Octave, Bark and ERB. Except for the type Absolute an additional divider (fraction) can be specified. For example if the bandwidth type is Octave and fraction is 3 then the bandwidth is 1/3 Octave.


[[Image:SOUND_QUALITY_41.png|framed|none]]
[[Image:SOUND_QUALITY_41.png|framed|none]]
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==Psychoacoustics theoretical background==
==Psychoacoustics theoretical background==
===Loudness===
===Loudness===
The loudness analysis computes loudness versus time and specific loudness versus critical-band rate versus time pattern. Stationary signals are analyzed in accordance with DIN 45631 and ISO 532B.By including nonlinear post-masking algorithms, non-stationary signals can also be analyzed.
The loudness analysis computes loudness versus time and specific loudness versus critical-band rate versus time pattern. Stationary signals are analyzed in accordance with DIN 45631 and ISO 532B. By including nonlinear post-masking algorithms, non-stationary signals can also be analyzed.


In order to calculate further psychoacoustical parameters like Roughness, data are stored with a time resolution of 2 ms.
In order to calculate further psychoacoustical parameters like Roughness, data are stored with a time resolution of 2 ms.
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