denspp.offline.analog.func#

Module Contents#

Functions#

do_quantize_transient

Performing a re-quantization of the transient input signal (amplitude and time) Args: transient_orig: Input dictionary with transient signal [‘V’: voltage, ‘I’: current, ‘fs’: sampling rate] fs_new: New sampling rate [Hz] u_lsb: New smallest voltage resolution (least significant bit, LSB) Returns: Dictionary with new transient output [‘V’: voltage, ‘I’: current, ‘fs’: sampling rate]

do_resample_time

Do resampling of time value from transient signals Args: signal_in: Numpy array of transient input signal fs_orig: Original sampling rate value fs_new: New sampling rate value do_offset_comp: Do offset compensation on output Returns: Numpy array of resampled into

do_resample_amplitude

Do resampling of amplitude from transient signal Args: signal_in: Numpy array with transient signal u_lsb: New smallest voltage resolution (least significant bit, LSB) Returns: Numpy array with re-sampled input (amplitude)

calculate_signal_integration

Calculating the injected charge amount of one stimulation pattern

API#

denspp.offline.analog.func.do_quantize_transient(transient_orig: dict, fs_new: float, u_lsb: float, i_gain: float = 2000.0) → dict[source]#

Performing a re-quantization of the transient input signal (amplitude and time) Args: transient_orig: Input dictionary with transient signal [‘V’: voltage, ‘I’: current, ‘fs’: sampling rate] fs_new: New sampling rate [Hz] u_lsb: New smallest voltage resolution (least significant bit, LSB) Returns: Dictionary with new transient output [‘V’: voltage, ‘I’: current, ‘fs’: sampling rate]

denspp.offline.analog.func.do_resample_time(signal_in: numpy.ndarray, fs_orig: float, fs_new: float, do_offset_comp: bool = False) → numpy.ndarray[source]#

Do resampling of time value from transient signals Args: signal_in: Numpy array of transient input signal fs_orig: Original sampling rate value fs_new: New sampling rate value do_offset_comp: Do offset compensation on output Returns: Numpy array of resampled into

denspp.offline.analog.func.do_resample_amplitude(signal_in: numpy.ndarray, u_lsb: float) → numpy.ndarray[source]#

Do resampling of amplitude from transient signal Args: signal_in: Numpy array with transient signal u_lsb: New smallest voltage resolution (least significant bit, LSB) Returns: Numpy array with re-sampled input (amplitude)

denspp.offline.analog.func.calculate_signal_integration(signal: numpy.ndarray, time: numpy.ndarray, initial: float = 0.0) → numpy.ndarray[source]#

Calculating the injected charge amount of one stimulation pattern

Parameters:

  • signal – Numpy array with current input signal

  • time – Numpy array with timesamples [s]

  • initial – Floating value with initial value

Returns:

Numpy array with injected charge amount during signal time