# Index of functions in BitInformation.jl

### Significance of information

BitInformation.binom_confidenceMethod
p₁ = binom_confidence(n::Int,c::Real)

Returns the probability p₁ of successes in the binomial distribution (p=1/2) of n trials with confidence c.

Example

At c=0.95, i.e. 95% confidence, n=1000 tosses of a coin will yield not more than

julia> p₁ = BitInformation.binom_confidence(1000,0.95)
0.5309897516152281

source

### Transformations

BitInformation.signed_exponentMethod
B = signed_exponent(A::Array{T}) where {T<:Union{Float16,Float32,Float64}}

Converts the exponent bits of Float16,Float32 or Float64-arrays from its conventional biased-form into a sign&magnitude representation.

Example

julia> bitstring(10f0,:split)
"0 10000010 01000000000000000000000"

julia> bitstring.(signed_exponent([10f0]),:split)[1]
"0 00000011 01000000000000000000000"

In the former the exponent 3 is interpret from 0b10000010=130 via subtraction of the exponent bias of Float32 = 127. In the latter the exponent is inferred from sign bit (0) and a magnitude represetation 2^1 + 2^1 = 3.

source
Missing docstring.

Missing docstring for signed_exponent!(::Array{Float32}). Check Documenter's build log for details.