**Tasks to do: **

- Stochastic signals and their characteristics
- Generate white noise with following distribution:

a) uniform distribution (fcn*rand*),

b) Gaussian (normal) distribution (fcn*randn*). - Observe statistical distribution of signal samples of generated signals (fcn
*hist*). - Measure basic parameters of generated signals:

a) mean value,

b) variance,

c) power. - Observe and identify above measured values in sample histograms
- Generate white noise with following parameters:

a) uniform distribution, mean value = 0, variance = 0.1,

b) Gaussian distribution, mean value = 0.5, variance = 0.4. - Observe distiribution of the sum of 2 or more (5, 10, 20)
realizations of random signals with:

a) uniform distribution

b) Gaussian distribution

- Generate white noise with following distribution:
- Deterministic signals and their characteristics
- Generate periodical harmonic signal with following parameters:

- amplitude*A = 1 , f = 500 Hz ,*zero phase shift

- sampling parameters:*fs = 8000 Hz , to = 0.2 s*(duration time). - Measure basic parameters of generated signal:

a) mean value,

b) variance,

c) power. - Observe signal samples of generated signals.
- Generate sinusoidal with different frequency and sampling frequency and compare the results

a)*fs = 8000 Hz , f = 2000 Hz*

b)*fs = 8000 Hz , f = 1231 Hz*

c)*fs = 1000 Hz , f = 250 Hz*

- Generate periodical harmonic signal with following parameters:
- Modeling mixed deterministic and stochastic signal
- Generate sinusoidal with following parameters:

- amplitude*A = 1 , f = 500 Hz ,*zero phase shift

- sampling parameters:*fs = 8000 Hz , to = 0.2 s*(duration time). - Generate Gaussian white noise with parameters:

- mean value = 0, variance = 0.4.

-*fs = 8000 Hz , to = 0.2 s*(duration time). - Add sinusoidal and noise and evaluate SNR (Signal-to-Noise Ration)
- Create mixtures with different SNR from above generated 2 signals (SNR = -5, 0, 5, 10, 20)

- Generate sinusoidal with following parameters: