|
14 | 14 | :py:func:`bandstop <sigima.proc.signal.bandstop>`,Compute band-stop filter,`test_signal_bandstop <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/filters_unit_test.py#L228>`_ |
15 | 15 | :py:func:`bandwidth_3db <sigima.proc.signal.bandwidth_3db>`,Compute bandwidth at -3 dB ,`test_signal_bandwidth_3db <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/analysis_unit_test.py#L28>`_ |
16 | 16 | :py:func:`calibration <sigima.proc.signal.calibration>`,Compute linear calibration,`test_signal_calibration <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/processing_unit_test.py#L38>`_ |
17 | | -:py:func:`cdf_fit <sigima.proc.signal.cdf_fit>`,Compute CDF fit,`test_signal_cdf_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L450>`_ |
| 17 | +:py:func:`cdf_fit <sigima.proc.signal.cdf_fit>`,Compute CDF fit,`test_signal_cdf_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L453>`_ |
18 | 18 | :py:func:`clip <sigima.proc.signal.clip>`,Compute maximum data clipping,`test_signal_clip <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/processing_unit_test.py#L192>`_ |
19 | 19 | :py:func:`complex_from_magnitude_phase <sigima.proc.signal.complex_from_magnitude_phase>`,Combine magnitude and phase signals into a complex signal,`test_signal_complex_from_magnitude_phase <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/operation_unit_test.py#L315>`_ |
20 | 20 | :py:func:`complex_from_real_imag <sigima.proc.signal.complex_from_real_imag>`,Combine two real signals into a complex signal using real + i * imag,`test_signal_complex_from_real_imag <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/operation_unit_test.py#L248>`_ |
|
27 | 27 | :py:func:`difference_constant <sigima.proc.signal.difference_constant>`,Compute the difference between a signal and a constant value,`test_signal_difference_constant <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/operation_unit_test.py#L188>`_ |
28 | 28 | :py:func:`division <sigima.proc.signal.division>`,Compute the element-wise division between two signals,`test_signal_division <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/operation_unit_test.py#L154>`_ |
29 | 29 | :py:func:`division_constant <sigima.proc.signal.division_constant>`,Compute the division of a signal by a constant value,`test_signal_division_constant <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/operation_unit_test.py#L198>`_ |
30 | | -:py:func:`piecewiseexponential_fit <sigima.proc.signal.piecewiseexponential_fit>`,Compute piecewise exponential fit (raise-decay),`test_signal_piecewiseexponential_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L337>`_ |
31 | 30 | :py:func:`dynamic_parameters <sigima.proc.signal.dynamic_parameters>`,Compute Dynamic parameters,`test_dynamic_parameters <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/analysis_unit_test.py#L57>`_ |
32 | 31 | :py:func:`exp <sigima.proc.signal.exp>`,Compute exponential with :py:data:`numpy.exp`,`test_signal_exp <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/operation_unit_test.py#L360>`_ |
33 | 32 | :py:func:`exponential_fit <sigima.proc.signal.exponential_fit>`,Compute exponential fit,`test_signal_exponential_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L304>`_ |
34 | | -:py:func:`extract_pulse_features <sigima.proc.signal.extract_pulse_features>`,Extract pulse features,`test_signal_extract_pulse_features <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/pulse_unit_test.py#L1282>`_ |
| 33 | +:py:func:`extract_pulse_features <sigima.proc.signal.extract_pulse_features>`,Extract pulse features,`test_signal_extract_pulse_features <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/pulse/pulse_unit_test.py#L1729>`_ |
35 | 34 | :py:func:`extract_roi <sigima.proc.signal.extract_roi>`,Extract single region of interest from data,`test_signal_extract_roi <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/roi_advanced_unit_test.py#L171>`_ |
36 | 35 | :py:func:`extract_rois <sigima.proc.signal.extract_rois>`,Extract multiple regions of interest from data,`test_signal_extract_rois <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/roi_advanced_unit_test.py#L152>`_ |
37 | 36 | :py:func:`fft <sigima.proc.signal.fft>`,Compute FFT,`test_signal_fft <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fft1d_unit_test.py#L118>`_ |
|
62 | 61 | :py:func:`peak_detection <sigima.proc.signal.peak_detection>`,Peak detection ,`test_signal_peak_detection <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/peakdetection_unit_test.py#L23>`_ |
63 | 62 | :py:func:`phase <sigima.proc.signal.phase>`,Compute the phase (argument) of a complex signal,`test_signal_phase <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/operation_unit_test.py#L268>`_ |
64 | 63 | :py:func:`phase_spectrum <sigima.proc.signal.phase_spectrum>`,Compute phase spectrum,`test_signal_phase_spectrum <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fft1d_unit_test.py#L219>`_ |
65 | | -:py:func:`planckian_fit <sigima.proc.signal.planckian_fit>`,Compute Planckian fit,`test_signal_planckian_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L370>`_ |
| 64 | +:py:func:`piecewiseexponential_fit <sigima.proc.signal.piecewiseexponential_fit>`,Compute piecewise exponential fit (raise-decay) ,`test_signal_piecewiseexponential_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L337>`_ |
| 65 | +:py:func:`planckian_fit <sigima.proc.signal.planckian_fit>`,Compute Planckian fit,`test_signal_planckian_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L373>`_ |
66 | 66 | :py:func:`polynomial_fit <sigima.proc.signal.polynomial_fit>`,Compute polynomial fit,`test_polynomial_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L144>`_ |
67 | 67 | :py:func:`power <sigima.proc.signal.power>`,Compute power with :py:data:`numpy.power`,`test_signal_power <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/operation_unit_test.py#L384>`_ |
68 | 68 | :py:func:`product <sigima.proc.signal.product>`,Compute the element-wise product of multiple signals,`test_signal_product <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/operation_unit_test.py#L122>`_ |
|
73 | 73 | :py:func:`resampling <sigima.proc.signal.resampling>`,Resample data,`test_signal_resampling <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/processing_unit_test.py#L332>`_ |
74 | 74 | :py:func:`reverse_x <sigima.proc.signal.reverse_x>`,Reverse x-axis,`test_signal_reverse_x <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/processing_unit_test.py#L78>`_ |
75 | 75 | :py:func:`sampling_rate_period <sigima.proc.signal.sampling_rate_period>`,Compute sampling rate and period,`test_signal_sampling_rate_period <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/analysis_unit_test.py#L73>`_ |
76 | | -:py:func:`sigmoid_fit <sigima.proc.signal.sigmoid_fit>`,Compute sigmoid fit,`test_signal_sigmoid_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L487>`_ |
77 | | -:py:func:`sinusoidal_fit <sigima.proc.signal.sinusoidal_fit>`,Compute sinusoidal fit,`test_sinusoidal_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L746>`_ |
| 76 | +:py:func:`sigmoid_fit <sigima.proc.signal.sigmoid_fit>`,Compute sigmoid fit,`test_signal_sigmoid_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L490>`_ |
| 77 | +:py:func:`sinusoidal_fit <sigima.proc.signal.sinusoidal_fit>`,Compute sinusoidal fit,`test_sinusoidal_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L749>`_ |
78 | 78 | :py:func:`sqrt <sigima.proc.signal.sqrt>`,Compute square root with :py:data:`numpy.sqrt`,`test_signal_sqrt <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/operation_unit_test.py#L376>`_ |
79 | 79 | :py:func:`standard_deviation <sigima.proc.signal.standard_deviation>`,Compute the element-wise standard deviation of multiple signals,`test_signal_standard_deviation <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/operation_unit_test.py#L102>`_ |
80 | 80 | :py:func:`stats <sigima.proc.signal.stats>`,Compute statistics on a signal,`test_signal_stats_unit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/common/stat_unit_test.py#L81>`_ |
|
83 | 83 | :py:func:`to_polar <sigima.proc.signal.to_polar>`,Convert Cartesian coordinates to polar coordinates,`test_signal_to_polar <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/processing_unit_test.py#L123>`_ |
84 | 84 | :py:func:`total_variance <sigima.proc.signal.total_variance>`,Compute Total variance,`test_signal_total_variance <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/stability_unit_test.py#L312>`_ |
85 | 85 | :py:func:`transpose <sigima.proc.signal.transpose>`,Transpose signal (swap X and Y axes),`test_signal_transpose <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/processing_unit_test.py#L68>`_ |
86 | | -:py:func:`twohalfgaussian_fit <sigima.proc.signal.twohalfgaussian_fit>`,Compute two-half-Gaussian fit,`test_signal_twohalfgaussian_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L523>`_ |
| 86 | +:py:func:`twohalfgaussian_fit <sigima.proc.signal.twohalfgaussian_fit>`,Compute two-half-Gaussian fit,`test_signal_twohalfgaussian_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L526>`_ |
87 | 87 | :py:func:`voigt_fit <sigima.proc.signal.voigt_fit>`,Compute Voigt fit,`test_signal_voigt_fit <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/fitting_unit_test.py#L268>`_ |
88 | 88 | :py:func:`wiener <sigima.proc.signal.wiener>`,Compute Wiener filter,`test_signal_wiener <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/processing_unit_test.py#L323>`_ |
89 | 89 | :py:func:`x_at_minmax <sigima.proc.signal.x_at_minmax>`,,`test_signal_x_at_minmax <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/signal/analysis_unit_test.py#L92>`_ |
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