For example, in the most expensive and advanced processors, modern designers using fixed point processing have progressed to internal calculations using "double precision" (48 bit in most cases), which doubles the internal dynamic range, and many authorities feel this performance produces better sonic results than 32 bit floating point. This is at the cost of cycles and power, but with more chips and more speed, it's not a big cost deal at this time.
But the whole "race" changes again when the floating point designers start using 40 bit floating point. At that point, using equal types of algorithms, the two types of calculations likely produce equal sonic results, without quibbling. When working with double precision, it is very easy for a designer to design 24 dB (or more) internal headroom without losing meaningful dynamic range, so when working with double precision, fixed point becomes as powerful (some say more powerful) than floating point.
這是說明有些昂貴先進的處理器，設計者採用48位元(24bit雙精度)處理
他內部的動態處理等於是24bit的兩倍，也有人說聲音表現比32位元浮點運算還好
(事實上ProTools HD也是48 bit內部處理)
但也有設計者使用40位元的浮點運算處理，也用同樣的演算法，雖然聲音也是很好
因為使用48bit定點運算要達成增加24dB以上的內部headroom，也不會失去有意義的動態是很容易的事情
所以定點在這方面就比浮點運算要來得強大許多。(也比較省電路)
