I honestly just hated the look of S 1 Oregairu , maybe it ' s just because I ' m a modernfag but idk . <| sep |> Wow that hitbox , I was behind him . Well thanks for helping anyway but I ' m out of ember , guess ill try and deal with it on my own <| sep |> I figured the second is what you meant . And yes , any practical implementation suffers degradation . But we can control the error in practice , and thus make it arbitrarily small . As for being tired , my original response was almost all bandlimited signals are periodic which would have been one simply horific statement . There has been work which shows you can break the shannon sampling limit by allowing the sampling intreval to be random . By break , I mean the average sampling frequency is less than twice the largest frequency . More than that though , ask me no questions so I may tell no lies . Actually , on the topic of breaking the Shannon limit . At a recent conference , a prominent sigal processing researcher , Yonina Eldar , gave a plenary talk on how to break the sampling theorem by combining it with the discretization process . Break in this context , is some what artifical . Basically accepting an information loss from sampling and discretization , by jointly performing the two you can lower the sampling rate and make the discretization process less precise , while maintaining the loss of information . Practical upshot though , you may end up sampling at less than twice the highest frequency . Sampling is still very much a topic of research interest .