This module allows abstraction of operations that operate on the time axis and do also work on signal types without sample values. The most distinctive instances are certainly Dirac signals and chunky time values.
- class Read sig where
- class Read sig => NormalForm sig where
- class (Read sig, Monoid sig) => Transform sig where
- intToChunky :: (C a, C a) => String -> Int -> T a
- intToChunky98 :: (Num a, C a) => String -> Int -> T a
- empty :: Monoid sig => sig
- cycle :: Monoid sig => sig -> sig
- append :: Monoid sig => sig -> sig -> sig
- concat :: Monoid sig => [sig] -> sig
- lengthAtLeast :: Transform sig => Int -> sig -> Bool
- lengthAtMost :: Transform sig => Int -> sig -> Bool
- sliceVertical :: Transform sig => Int -> sig -> T sig
Evaluating the first value of the signal is necessary for avoiding a space leaks if you repeatedly drop a prefix from the signal and do not consume something from it.
|(Integral a, C a) => Transform (T a)|
|(C a, C a) => Transform (T a)|
|Storable y => Transform (Vector y)|
|Transform (T y)|
|(Integral t, C t) => Transform (T t y)|
The function defined here are based on the interpretation of event lists as piecewise constant signals. They do not fit to the interpretation of atomic events. Because e.g. it makes no sense to split an atomic event into two instances by splitAt, and it is also not clear, whether dropping the first chunk shall leave a chunk of length zero or remove that chunk completely.
lengthAtLeast n xs = length xs >= n,
but is more efficient, because it is more lazy.