Signal Processing¶

The Signal Processing module contains functions for signal processing.

streaming.signal.constant(value, nblock=None)[source]¶

Stream with constant value.

Return type:	`Stream` or `BlockStream` if nblock is not None.

streaming.signal.convolve(signal, impulse_responses, nhop, ntaps, initial_values=None)¶

Convolve signal with impulse_responses.

Parameters:	signal (`Stream` or `BlockStream`) – Signal impulse_responses – `Stream` ntaps – Amount of taps.
Returns:	Convolution of signal with impulse_responses.
Return type:	`BlockStream`

See also

streaming._iterator.blocked_convolve()

streaming.signal.convolve_overlap_add(signal, impulse_responses, nhop, ntaps, initial_values=None)[source]¶

Convolve signal with impulse_responses.

Parameters:	signal (`Stream` or `BlockStream`) – Signal impulse_responses – `Stream` ntaps – Amount of taps.
Returns:	Convolution of signal with impulse_responses.
Return type:	`BlockStream`

See also

streaming._iterator.blocked_convolve()

streaming.signal.convolve_overlap_save(signal, impulse_responses, nhop, ntaps)[source]¶

Convolve signal with linear time-variant impulse_responses using overlap-save method.

Parameters:	signal – Signal. impulse_responses – Impulse responses of the filter. Each impulse response belongs to a hop. nhop – Hop in samples. ntaps – Length of each impulse response.
Returns:	Stream with blocksize equal to nhop.
Return type:	BlockStream

streaming.signal.interpolate(x, y, xnew)[source]¶

Interpolate y at xnew.

Parameters:	x – Previous sample positions y – Previous sample values xnew – New sample positions
Returns:	Interpolated sample positions
Return type:	`Stream`

streaming.signal.noise(nblock=None, state=None, color='white', ntaps=None)[source]¶

Generate white noise with standard Gaussian distribution.

Parameters:	nblock – Amount of samples per block. state (`np.random.RandomState`) – State of PRNG.
Returns:	When nblock=None, individual samples are generated and a `streaming.Stream` is

returned. When integer, a streaming.BlockStream is returned.

streaming.signal.sine(frequency, fs)[source]¶

Sine with frequency and sample frequency fs.

Parameters:	frequency – Frequency of the sine. fs – Sample frequency.
Returns:	Sine.
Return type:	`Stream`

streaming.signal.vdl(signal, times, delay, initial_value=0.0)[source]¶

Variable delay line which delays signal at times with delay.

Parameters:	signal – Signal to be delayed. times – Sample times corresponding to signal before delay. delay – Delays to apply to signal. initial_value – Value to return before first sample.
Returns:	Delayed version of signal.
Return type:	`Stream`

See also