add to docs

docs/src/blocks.md

@@ -16,6 +16,7 @@
 ## Noise and measurement corruption
 - [`NormalNoise`](@ref)
 - [`Quantization`](@ref)
+- [`SampleWithADEffects`](@ref)
 - [`UniformNoise`](@ref)
 
 ## Controllers
@@ -25,6 +26,7 @@
 
 ## Discrete-time filters
 - [`ExponentialFilter`](@ref)
+- [`MovingAverageFilter`](@ref)
 
 
 ## Docstrings

docs/src/tutorials/noise.md

@@ -88,7 +88,7 @@ plot(figy, figu, plot_title = "DC Motor with Discrete-time Speed Controller")
 You may, e.g.
 - Use [`ExponentialFilter`](@ref) to add exponential filtering using `y(k) ~ (1-a)y(k-1) + a*u(k)`, where `a` is the filter coefficient and `u` is the signal to be filtered.
 No discrete-time filter components are available yet. You may, e.g.
-- Add moving average filtering using [`MovingAverageFilter`](@ref) according to `y(k) ~ 1/N * sum(u(k-i) for i=0:N-1)`, where `N` is the number of samples to average over.
+- Use [`MovingAverageFilter`](@ref) to add moving average filtering according to `y(k) ~ 1/N * sum(u(k-i) for i=0:N-1)`, where `N` is the number of samples to average over.
 
 ## Colored noise
 Colored noise can be achieved by filtering white noise through a filter with the desired spectrum. No components are available for this yet.

src/discrete_blocks.jl

@@ -1042,7 +1042,7 @@ end
 """
     MovingAverageFilter(N = 3)
 
-Exponential filtering with input-output relation ``y(z) = sum(u(z-i) for i in 0:N-1) / N``.
+Exponential filtering with input-output relation ``y(z) = \\dfrac{1}{N} \\sum_{i=0}^{N-1} u(z-i)``.
 
 Please note: this implementation of a moving average filter is not optimized for very large number of filter taps `N`.