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Support x ∈ [ μ − s , μ + s ] {\displaystyle x\in [\mu -s,\mu +s]\,} PDF 1 2 s [ 1 + cos ( x − μ s π ) ] = 1 s hvc ( x − μ s π ) {\displaystyle {\frac {1}{2s}}\left[1+\cos \left({\frac {x\!-\!\mu }{s}}\,\pi \right)\right]\,={\frac {1}{s}}\operatorname {hvc} \left({\frac {x\!-\!\mu }{s}}\,\pi \right)\,} CDF 1 2 [ 1 + x − μ s + 1 π sin ( x − μ s π ) ] {\displaystyle {\frac {1}{2}}\left[1\!+\!{\frac {x\!-\!\mu }{s}}\!+\!{\frac {1}{\pi }}\sin \left({\frac {x\!-\!\mu }{s}}\,\pi \right)\right]} Mean μ {\displaystyle \mu \,} Median μ {\displaystyle \mu \,} |
In probability theory and statistics, the raised cosine distribution is a continuous probability distribution supported on the interval
for
for
The moments of the raised cosine distribution are somewhat complicated, but are considerably simplified for the standard raised cosine distribution. The standard raised cosine distribution is just the raised cosine distribution with
where
Differential equation
The pdf of the raised cosine distribution is a solution to the following differential equation: