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# STFT.jl
# `STFT.jl` - Short-Time Fourier Transform
[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://docs.zymon.org/STFT.jl/)
`STFT.jl` is a Julia package implementing Short-Time Fourier Transform (STFT) routines.
It provides signal analysis (time-domain signal to STFT-domain signal; stft)
and signal synthesis (STFT-domain siganl to time-domain signal; istft).
`STFT.jl` is a small Julia package implementing just Short-Time Fourier Transform (STFT) routines.
It provides the following core functionality:
- **_signal analysis_**; transform time-domain signal to STFT-domain signal.
- **_signal synthesis_**; transform STFT-domain signal to time-domain signal.
Check the [documentation](https://docs.zymon.org/STFT.jl/) for more insights.
# Examples
## Installation
The package is currently not available in [General](https://github.com/JuliaRegistries/General), the default Julia package registry.
To install it, use the following command in Julia package manager:
```julia
pkg> add https://github.com/s-zymon/STFT.jl
```
## Examples
Below you can find a few standalone example with basic usage of the package.
### Show spectrogram
```julia
using STFT
using Plots
x = randn(10000) # Generate mock signal
W = 64 # Window length
w = ones(W) # Rectangular analysis window
H = 10 # Hop
L = W - H # Overlap
X = stft(x, w, L) # Analysis
s = abs2.(X) # Compute spectrogram
heatmap(10log10.(s)) # Display spectrogram
```
### Analyse signal, modify, and synthesise
```julia
using STFT
x = randn(10000) # Generate mock signal
W = 64 # Window length
w = ones(W) # Rectangular analysis window
H = 10 # Hop
L = W - H # Overlap
X = stft(x, w, L) # Analysis
X = f(X) # Modify STFT-domain signal
y = istft(X, w, L) # Synthesis
```
Alternatively, instead of `using STFT`, you can `import STFT`,
and use an alternative API, i.e., `analysis` and `synthesis`.
```julia
import STFT
x = rand(10000) # Generate mock signal
W = 64 # Window length
w = ones(W) # Rectangular analysis window
H = 10 # Hop
L = W - H # Overlap
x = randm(10000) # Generate mock signal
W = 64 # Window length
w = ones(W) # Rectangular analysis window
H = 10 # Hop
L = W - H # Overlap
X = STFT.analysis(x, w, L) # Analysis
# Compute spectogram of the signal
spectogram = abs2.(X)
# X = f(X) # Modify STFT-domain signal
# Reconsturction
xr = STFT.synthesis(X, w, L) # Synthesis
X = f(X) # Modify STFT-domain signal
y = STFT.synthesis(X, w, L) # Synthesis
```