Obtains a waveform from the digitizer and returns the specified measurement voltage data. This instance can fetch data from multiple channels and records.
Handle that identifies the NI-SCOPE instrument session as previously allocated by Initialize With Options.
Error conditions that occur before this node runs.
The node responds to this input according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Default: No error
The channel from which to acquire data.
Channel String Syntax
The time, in seconds, to wait for the data to be acquired.
Alternate Uses
Use 0 for this parameter to fetch whatever is currently available. Use -1 for this parameter to imply an infinite timeout.
Default: 5
The measurement to add as a processing step.
Name | Value | Description |
---|---|---|
None | 4000 | No array measurement added as a processing step. |
Last Acq. Histogram | 4001 | Corresponds to the NISCOPE_VAL_LAST_ACQ_HISTOGRAM C or C++ command. In the last acquisition histogram method, a voltage histogram is created from the most recent acquisition. The limits of the histogram are set by the minimum and maximum voltages of the acquisition. NI-SCOPE then counts how many samples fall into each bin of the histogram. |
Multi Acq. Voltage Histogram | 4004 | Corresponds to the NISCOPE_VAL_MULTI_ACQ_VOLTAGE_HISTOGRAM C or C++ command. In this multi-acquisition histogram method, a voltage histogram is created from multiple acquisitions. |
Multi Acq. Time Histogram | 4005 | Corresponds to the NISCOPE_VAL_MULTI_ACQ_TIME_HISTOGRAM C or C++ command. In this multi-acquisition histogram method, a time-based histogram is created from multiple acquisitions. |
Multi Acq. Average | 4016 | Corresponds to the NISCOPE_VAL_MULTI_ACQ_AVERAGE C or C++ command. The first time this measurement is called after it is cleared, an array the same size as the input is initialized to the input waveform, and the initial x and x increment values of the waveform are set. Every subsequent call updates and returns the running average array without affecting the size of the array. |
Polynomial Interpolation | 4011 | Corresponds to the NISCOPE_VAL_POLYNOMIAL_INTERPOLATION C or C++ command. Polynomial interpolation allows over or undersampling a waveform using any order polynomial set by the Measurement Polynomial Interpolation Order property. For example, an order of 1 corresponds to linear interpolation. |
Array Integral | 4006 | Corresponds to the NISCOPE_VAL_ARRAY_INTEGRAL C or C++ command. In the array integral method, the waveform is integrated using Simpson's rule, fitting a parabola to every 3 points with the following equation:y[i] = (waveform[i] + 4 × waveform[i + 1] + waveform[i + 2]) × dt/3 |
Derivative | 4007 | Corresponds to the NISCOPE_VAL_DERIVATIVE C or C++ command. The differences in the waveform are computed using the following formula:y[i] = (waveform[i+2] - waveform[i]) / (2 × dt), where dt is the time between two points. |
Inverse | 4008 | Corresponds to the NISCOPE_VAL_INVERSE C or C++ command. The inverse is computed using the following formula:y[i] = 1.0/waveform[i].If waveform[i] is zero, the inverse is zero. |
Multiply Channels | 4012 | Corresponds to the NISCOPE_VAL_MULTIPLY_CHANNELS C or C++ command. Multiplies the waveforms from two channels, where one channel is specified by channel of niScope Fetch Measurement, and the other channel is the Other Channel property. Any processing steps registered with niScope Add Waveform Processing are completed for the "other channel" before this measurement is taken. |
Add Channels | 4013 | Corresponds to the NISCOPE_VAL_ADD_CHANNELS C or C++ command. Adds the waveforms from two channels, where one channel is specified by channel of niScope Fetch Measurement, and the other channel is specified by the Other Channel property. Any processing steps registered with niScope Add Waveform Processing are completed for the other channel before this measurement is taken. |
Subtract Channels | 4014 | Corresponds to the NISCOPE_VAL_SUBTRACT_CHANNELS C or C++ command. The channel specified by the Other Channel property is subtracted from the channel specified by channel of niScope Fetch Measurement. Any processing steps registered with niScope Add Waveform Processing are completed for the other channel before this measurement is taken. The two channels used in the measurement must be different. |
Divide Channels | 4015 | Corresponds to the NISCOPE_VAL_DIVIDE_CHANNELS C or C++ command. The channel specified by the channel parameter of niScope Fetch Measurement is divided by the channel specified by Other Channel. Any processing steps registered with niScope Add Waveform Processing are completed for the other channel before this measurement is taken. The two channels used in this measurement must be different. |
Array Offset | 4025 | Corresponds to the NISCOPE_VAL_ARRAY_OFFSET C or C++ command. Adds the scalar value of the measurement array offset to every point in the waveform. |
Array Gain | 4026 | Corresponds to the NISCOPE_VAL_ARRAY_GAIN C or C++ command. Every point in the waveform is multiplied by the scalar value Array Gain. |
Hanning Window | 4009 | Applies a Hanning window to the waveform using the following equation:y[i] = 0.5 × waveform[i] × [1 - cos(w)]where w = (2Π)i/n and n = waveform size.The Hanning window is useful for analyzing transients longer than the time duration of the window, and also for general purpose applications. |
Flat Top Window | 4010 | Corresponds to the NISCOPE_VAL_FLAT_TOP_WINDOW C or C++ command. A Flat Top window is applied to the waveform using the following equation:y[i] = waveform[i] × (0.2810639 - 0.52088972cos(w) + 0.1980399cos(2w))where w = (2Π)i/n and n is the waveform size. The Flat Top window has the best amplitude accuracy of all the window functions. The increased amplitude accuracy is at the expense of frequency selectivity. The Flat Top window is most useful in accurately measuring the amplitude of single frequency components with little nearby spectral energy in the signal. |
Hamming Window | 4020 | Corresponds to the NISCOPE_VAL_HAMMING_WINDOW C or C++ command. A Hamming window is applied to the waveform using the following equation:y[i] = x[i] [0.54 - 0.46cos(w)]where w = (2Π)i/n and n = the number of elements in x. |
Triangle Window | 4023 | Corresponds to the NISCOPE_VAL_TRIANGLE_WINDOW C or C++ command. A triangular window is applied to the waveform using the following equation:y[i] = waveform[i] × (1 - |w|)where w = (2i - n)/n and n is the number of elements in the waveform. |
Blackman Window | 4024 | Corresponds to the NISCOPE_VALE_BLACKMAN_WINDOW C or C++ command. A Blackman window is applied to the waveform using the following equation:y[i] = waveform[i] × (0.42 - 0.50cos(w) + 0.08cos(2w))where w = (2Π)i/n and n is the number of elements in the waveform. |
FIR Windowed Filter | 4021 | Corresponds to the NISCOPE_VAL_WINDOWED_FIR_FILTER C or C++ command.Windowed FIR filters use the cutoff frequency as part of the design process, but the cutoff is specified before the windowing operation. For Windowed FIR filters of sufficient taps (more than 10 for a simple lowpass), the cutoff frequency has a magnitude near 0.5 (or 6 dB down). This magnitude varies slightly with the order and the window type.FIR filters are well-suited for applications that require phase information, because the phase response is always linear. This linearity prevents distortion of time-domain filtered data. The transient response of an FIR filter is a fixed number of points, filter taps -1, which are eliminated in the filtered waveform returned from this node.The number of taps in the filter (that is, the number of coefficients in the filter) is given by the Filter Taps property. This number must be odd for the highpass and bandstop filters. The window for the coefficients is set with the FIR Window property. |
Bessel IIR Filter | 4022 | Corresponds to the NISCOPE_VAL_BESSEL_FILTER C or C++ command.The input waveform is filtered with a Bessel IIR algorithm. The type of the filter is specified by the Measurement Filter Type property as any of the following values: lowpass, highpass, bandpass, and bandstop.The order of the filter is specified by the Filter IIR Order property. Also, a number of points equal to the Percent Waveform Transient property divided by 100 times the input size are eliminated from the beginning of the filtered waveform so that the transient response of the filter does not affect further measurements. |
Butterworth IIR Filter | 4017 | Corresponds to the NISCOPE_VAL_BUTTERWORTH_FILTER C or C++ command.The input waveform is filtered with a Butterworth IIR algorithm. The input waveform is filtered with a Butterworth IIR algorithm. The type of the filter is specified by Filter Type as any of the following values: lowpass, highpass, bandpass, or bandstop.The order of the filter is specified by the Filter IIR Order property. Also, a number of points equal to the Percent Waveform Transient property divided by 100 times the input size are eliminated from the beginning of the filtered waveform so the transient response of the filter does not affect further measurements. |
Chebyshev IIR Filter | 4018 | Corresponds to the NISCOPE_VAL_CHEBYSHEV_FILTER C or C++ command. The input waveform is filtered with a Chebyshev IIR algorithm. The type of filter is specified by the Filter Type property as any of the following values:The Chebyshev filter allows you to specify the passband ripple and the Filter Ripple property in decibels. The order of the filter is specified by the Filter Order property. Also, a number of points equal to the Percent Waveform Transient property divided by 100 times the input size are eliminated from the beginning of the filtered waveform, so the transient response of the filter does not affect further measurements. |
FFT Phase Spectrum | 4002 | Corresponds to the NISCOPE_VAL_FFT_PHASE_SPECTRUM C or C++ command. The phase spectrum is calculated using a split-radix real FFT. If the number of acquired points is not a power of two, zeros are padded at the end of the waveform so it is the next higher power of two. The phase spectrum is unwrapped. |
FFT Amp. Spectrum (Volts RMS) | 4003 | Corresponds to the NISCOPE_VAL_FFT_AMP_SPECTRUM_VOLTS_RMS C or C++ command. The amplitude spectrum is calculated using a split-radix real FFT. If the number of acquired points is not a power of two, zeros are padded at the end of the waveform so it is the next highest power of two. |
FFT Amp. Spectrum (dB) | 4019 | Corresponds to the NISCOPE_VAL_FFT_AMP_SPECTRUM_DB C or C++ command.The amplitude spectrum is calculated using a split-radix real FFT. If the number of acquired points is not a power of two, zeros are padded at the end of the waveform so it is the next highest power of two. The FFT is scaled to decibels:dB[i] = 20.0 × log10 (Amplitude[i] / Peak Amplitude) |
FFT Amp. Spectrum (dB) | 4019 | Corresponds to the NISCOPE_VAL_FFT_AMP_SPECTRUM_db C or C++ command. The amplitude spectrum is calculated using a split-radix real FFT. If the number of acquired points is not a power of two, zeros are padded at the end of the waveform so it is the next highest power of two. The FFT is scaled to decibels:dB[i] = 20.0 × log10 (Amplitude[i] / Peak Amplitude) |
Default: None
Reference to the NI-SCOPE instrument session to pass to the next node in the program.
Error information.
The node produces this output according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
A two-dimensional array of waveforms.
The 2D array includes waveforms from multiple channels, records, and acquisition types. For example, if the acquisition type is normal, there is one waveform per channel per record. For example, if the acquisition type is normal, there is one waveform per channel per record. If you call Fetch during a normal acquisition with the channel string "0,1" and the record number set to -1, the order of the output is:
record 0, channel 0
record 0, channel 1
record 1, channel 0
record 1, channel 1
The order of the channels is the order specified by the channels parameter.
The timing and scaling information about the waveform.
The timestamp, in seconds, of the first fetched sample. This timestamp is comparable between records and acquisitions; devices that do not support this parameter use 0 for this output.
The time, in seconds, from the trigger to the first sample in the acquired waveform.
The time, in seconds, between two samples in the acquired waveform.
The offset factor of the given channel. Use for scaling binary data with the following formula:voltage = binary data x gain factor + offset
The gain factor of the given channel.Use for scaling binary data with the following formula: voltage = binary data × gain factor + offset.
A reserved value. Do not use.
A reserved value. Do not use.
Where This Node Can Run:
Desktop OS: Windows
FPGA: Not supported
Web Server: Not supported in VIs that run in a web application