原文鏈接：https://bartwronski.com/2014/03/15/temporal-supersampling-and-antialiasing/

Aliasing problem鋸齒問題

Before I address temporal supersampling, just a quick reminder on what aliasing is.

在我講述時間超級采樣之前，對鋸齒是什麽做一個快速的提示。

Aliasing is a problem that is very well defined in signal theory. According to the general sampling theorem we need to have our signal spectrum containing only frequencies lower than Nyquist frequency. If we don’t (and when rasterizing triangles we always will as triangle edge is infinite frequency spectrum, step-like response) we will have some frequencies appearing in the final signal (reconstructed from samples) that were not in the original signal. Visual aliasing can have different appearance, it can appear as regular patterns (so-called moire), noise or flickering.

鋸齒是一個在信號理論中意義明確的問題。根據普遍的采樣

【翻譯】Temporal supersampling and antialiasing