拙网论坛

 找回密码
 立即注册
搜索
热搜: 活动 交友 discuz
查看: 269|回复: 0

关于声学的基本知识

[复制链接]

949

主题

1001

帖子

3736

积分

管理员

Rank: 9Rank: 9Rank: 9

积分
3736
发表于 2019-9-27 17:01:09 | 显示全部楼层 |阅读模式
Understanding dBV, dB, dBFS, dBSPL
[size=13.3333px]So in recap, a "naked" dB has no absolute meaning (though it can be worked out if enough information is known), while a "suffixed" dB always has an absolute meaning because it is in reference to some standard. The reason we have so many suffixes -- dBu, dBm, dBV, dBSPL, dBFS, etc. -- is because we have so many different kinds of things we want to measure. The only catch is to make sure you're referencing apples to apples. [size=13.3333px]

[size=13.3333px]And for all that, it's hopefully clear that the simple reason we use logarithmic scales is because it makes the numbers easier to work with. With practice "thinking logarithmically" will become second-nature and you'll realize that it is indeed worth the effort.

[size=13.3333px]

FFT Size and FFT Range
The larger the FFT size, the greater the frequency resolution of the spectrum, but requiring longer processing times. The FFT size can be set to 128, 256, 512, 1024, 2048, 4096, 8192 or 16384. Since a FFT spectrum contains real and imaginary components, the extracted magnitude spectrum is only half the size. For best response on slower single core devices, keep the FFT size low.

The FFT range can be set to 1.1 kHz, 2.2 k Hz, 5.5 kHz, 11 kHz or 22 kHz. By performing an FFT over a smaller frequency range with the same number of points, much better resolution can be achieved - although also requiring a longer sample of data.

回复

使用道具 举报

您需要登录后才可以回帖 登录 | 立即注册

本版积分规则

Archiver|手机版|小黑屋|抱朴守拙BBS

GMT+8, 2025-5-25 21:00 , Processed in 0.220743 second(s), 18 queries .

Powered by Discuz! X3.4

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表