Discrete Fourier Transform Precoding#
- class DFT(fft_norm='ortho')#
Bases:
SymbolPrecoder,SerializableA precoder applying the Discrete Fourier Transform to each data stream.
Object initialization.
- Parameters:
fft_norm (str, optional) – The norm applied to the discrete fourier transform. See also numpy.fft.fft for details
- yaml_tag: str = 'DFT'#
YAML serialization tag.
- encode(symbols)#
Encode a data stream before transmission.
This operation may modify the number of streams as well as the number of data symbols per stream.
- Parameters:
symbols (StatedSymbols) – Symbols to be encoded.
- Return type:
Returns: Encoded symbols.
- Raises:
NotImplementedError – If an encoding operation is not supported.
- decode(symbols)#
Decode a data stream before reception.
This operation may modify the number of streams as well as the number of data symbols per stream.
- Parameters:
symbols (Symbols) – Symbols to be decoded.
- Return type:
Returns: Decoded symbols.
- Raises:
NotImplementedError – If an encoding operation is not supported.
- property num_input_streams: int#
Required number of input symbol streams for encoding / number of resulting output streams after decoding.
- Returns:
The number of symbol streams.
- Return type:
int
- property num_output_streams: int#
Required number of input symbol streams for decoding / number of resulting output streams after encoding.
- Returns:
The number of symbol streams.
- Return type:
int