Certain aspects of the present disclosure relate to a method for compressed sensing (CS). The CS is a signal processing concept wherein significantly fewer sensor measurements than that suggested by Shannon/Nyquist sampling theorem can be used to recover signals with arbitrarily fine resolution. In this disclosure, the CS framework is applied for sensor signal processing in order to support low power robust sensors and reliable communication in Body Area Networks (BANs) for healthcare and fitness applications.

A method and system measure a characteristic of a signal under test (SUT) using a signal measurement device. The method includes receiving the SUT through first and second input channels; digitizing first and second copies of the SUT to obtain first and second digitized waveforms; repeatedly determining first and second measurement trends to obtain measurement trend pairs; cross-correlating the first and second measurement trends in each measurement trend pair to obtain cross-correlation vectors; extracting zero-displacement values from the cross-correlation vectors, respectively; summing the zero-displacement values to obtain a sum of measurement products for the measurement trend pairs; divide the sum of zero-displacement values by a total number of measurement products to obtain an average value of the measurement products, corresponding to MSV of the measured SUT characteristic; and determining a square root of the average value of the MSV to obtain an RMS value of the measured SUT characteristic.

A measurement system has an analog channel comprising an analog-to-digital converter for converting an external analog input signal into a corresponding digital input signal, an external trigger input for receiving an external trigger signal comprising a comparator configured to compare the external trigger signal against a trigger threshold signal for generating a binary trigger signal, and a digital signal processing unit. The digital signal processing unit comprises a digital trigger unit configured to receive the digital input signal and to generate at least one trigger event signal based on the digital input signal, and a trigger logic unit configured to receive the at least one trigger event signal and the binary trigger signal to generate a combined trigger signal. Further, a method for generating a trigger signal for a measurement system is described.

A method for analyzing a measured signal is described wherein at least a first segment and a second segment of said measured signal are acquired by a measurement device. At least said first segment and said second segment are stored in an acquisition memory of said measurement device. A search criterion is applied on at least said first segment and said second segment. At least a first timing event corresponding to said search criterion is stored into a memory, said first timing event being found in at least one of said segments. Further, an oscilloscope is described.

The present disclosure relates to a parallel filter structure for processing a signal. The parallel filter structure includes a signal input configured to receive a time and value discrete input signal. The parallel filter structure includes a feed forward equalizer circuit connected with the signal input for receiving the time and value discrete input signal. The parallel filter structure includes a decision feedback equalizer circuit connected with the signal input for receiving the time and value discrete input signal. The feed forward equalizer circuit and the decision feedback equalizer circuit together form a parallel circuit. Further, an oscilloscope and a method of processing a signal are provided.

A method for operating an oscilloscope is described, wherein a waveform axis scale input value is detected. Further, a record length input value is detected. An oscilloscope operating point is determined relative to at least one predetermined operating mode limit. In addition, a method for operating an oscilloscope as well as an oscilloscope are described.

Embodiments of the present invention relate to the technical field of oscilloscopes and disclose a method and an apparatus for processing an oscilloscope signal and an oscilloscope. The method for processing the oscilloscope signal includes: obtaining a voltage signal; determining high and low level signals in the voltage signal according to a reference voltage; determining a valid digital signal from the high and low level signals; and displaying a waveform image of the digital signal. According to the embodiments of the present invention, the voltage signal may be converted into the digital signal without digital processing on the voltage signal via a hardware device such as an analog converter, thereby reducing costs of the oscilloscope and facilitating user operation and carrying.

A method and system measure a characteristic of a signal under test (SUT) using a signal measurement device. The method includes receiving and digitizing the first and second copies of the SUT through first and second input channels to obtain first and second digitized waveforms; repeatedly determining measurement values of the SUT characteristic in the first and second digitized waveforms to obtain first and second measurement values, which are paired in measurement value pairs; multiplying the first and second measurement values in each of the measurement value pairs to obtain measurement products; determining an average value of the measurement products to obtain an MSV of the measured SUT characteristic; and determine a square root of the MSV to obtain an RMS value of the measured SUT characteristic. The RMS value substantially omits variations not in the SUT, which are introduced by only one of the first and second input channels.

A method and system measure a characteristic of a signal under test (SUT) using a signal measurement device. The method includes receiving the SUT through first and second input channels; digitizing first and second copies of the SUT to obtain first and second digitized waveforms; repeatedly determining first and second measurement trends to obtain measurement trend pairs; cross-correlating the first and second measurement trends in each measurement trend pair to obtain cross-correlation vectors; extracting zero-displacement values from the cross-correlation vectors, respectively; summing the zero-displacement values to obtain a sum of measurement products for the measurement trend pairs; divide the sum of zero-displacement values by a total number of measurement products to obtain an average value of the measurement products, corresponding to MSV of the measured SUT characteristic; and determining a square root of the average value of the MSV to obtain an RMS value of the measured SUT characteristic.

A test and measurement instrument includes an input to receive a non-return-to-zero (NRZ) waveform signal from a device under test, a ramp generator to use the NRZ waveform signal to generate a ramp sweep signal, a gate to gate the ramp sweep signal and the NRZ waveform signal to produce gated X-axis and Y-axis data, and a display to display the gated X-axis and Y-axis data as a cyclic loop image. A method of generating a cyclic loop image includes receiving an input waveform, using the input waveform to generate a ramp sweep signal, gating the ramp sweep signal and the input waveform to produce gated X-axis and Y-axis data, and displaying the gated X-axis and Y-axis data as a cyclic loop image.