diff --git a/docs/src/filters.md b/docs/src/filters.md
index 05bb727fa..343efb9c2 100644
--- a/docs/src/filters.md
+++ b/docs/src/filters.md
@@ -27,19 +27,19 @@ power (`^`) for repeated mutlpilcation with itself. For example:
 
 ```jldoctest; setup = :(using DSP)
 julia> H = PolynomialRatio([1.0], [1.0, 0.3])
-PolynomialRatio{:z, Float64}(Polynomials.LaurentPolynomial(1.0), Polynomials.LaurentPolynomial(0.3*z⁻¹ + 1.0))
+PolynomialRatio{:z, Float64}(LaurentPolynomial(1.0), LaurentPolynomial(0.3*z⁻¹ + 1.0))
 
 julia> inv(H)
-PolynomialRatio{:z, Float64}(Polynomials.LaurentPolynomial(0.3*z⁻¹ + 1.0), Polynomials.LaurentPolynomial(1.0))
+PolynomialRatio{:z, Float64}(LaurentPolynomial(0.3*z⁻¹ + 1.0), LaurentPolynomial(1.0))
 
 julia> H * H
-PolynomialRatio{:z, Float64}(Polynomials.LaurentPolynomial(1.0), Polynomials.LaurentPolynomial(0.09*z⁻² + 0.6*z⁻¹ + 1.0))
+PolynomialRatio{:z, Float64}(LaurentPolynomial(1.0), LaurentPolynomial(0.09*z⁻² + 0.6*z⁻¹ + 1.0))
 
 julia> H^2
-PolynomialRatio{:z, Float64}(Polynomials.LaurentPolynomial(1.0), Polynomials.LaurentPolynomial(0.09*z⁻² + 0.6*z⁻¹ + 1.0))
+PolynomialRatio{:z, Float64}(LaurentPolynomial(1.0), LaurentPolynomial(0.09*z⁻² + 0.6*z⁻¹ + 1.0))
 
 julia> H^-2
-PolynomialRatio{:z, Float64}(Polynomials.LaurentPolynomial(0.09*z⁻² + 0.6*z⁻¹ + 1.0), Polynomials.LaurentPolynomial(1.0))
+PolynomialRatio{:z, Float64}(LaurentPolynomial(0.09*z⁻² + 0.6*z⁻¹ + 1.0), LaurentPolynomial(1.0))
 
 ```
 
@@ -73,6 +73,7 @@ tdfilt
 tdfilt!
 resample
 ```
+
 ## Filter design
 
 Most analog and digital filters are constructed by composing
@@ -101,7 +102,6 @@ include [`remez`](@ref) which designs equiripple FIR
 filters of all types, and [`iirnotch`](@ref) which designs a 
 2nd order "biquad" IIR notch filter.
 
-
 ### [Filter response types](@id response-types)
 
 ```@docs
@@ -146,6 +146,7 @@ FIRWindow
 ```
 
 ### [Direct filter design methods](@id direct-design-methods)
+
 ```@docs
 remez
 iirnotch
@@ -207,4 +208,4 @@ passband cutoff frequency of 0.2, a stopband cutoff frequency of 0.4,
 
 ```julia
 (N, ωn) = ellipord(0.2, 0.4, 3, 40)
-```
\ No newline at end of file
+```