Update

noise.md

@@ -61,7 +61,7 @@ There are different types of noise characterized by their properties such as num
     - ...
 - by frequencies:
   - **[fractal noise](fractal_noise.md)**: Very important type of noise that similarly to [fractals](fractal.md) is composed of differently scaled versions of itself -- this noise looks like (and can be used to simulate) clouds, mountains and other structures found in nature. It is created by taking some basic noise function (e.g. Perlin noise or simplex noise) and overlaying (adding) multiple versions of it that differ by frequency and amplitude (just as e.g. mountains are composed of big and tall hills that have on them progressively smaller and less tall hills up to the microscopic level). These different individual layers are called octaves: *i*th octave has the amplitude *p^i* (where *p* is a constant from 0 to 1 called a persistence) and frequency of *2^i*.
-   - **[white noise](white_noise)**: Noise containing "same amount of all frequencies" -- this is basically the simplest kind of noise we get when we generate a sequence of independent ([uncorrelated](correlation.md)) (pseudo)random numbers with uniform probability distribution.
+   - **[white noise](white_noise.md)**: Noise containing "same amount of all frequencies" -- this is basically the simplest kind of noise we get when we generate a sequence of independent ([uncorrelated](correlation.md)) (pseudo)random numbers with uniform probability distribution.
    - **[pink noise](pink_noise.md)**: Energy density of frequencies decreases proportionally with 1/frequency, i.e. it basically has strong high frequencies and weak low frequencies.
    - **[blue noise](blue_noise.md)**
    - ...