A method for data compression and transmission includes receiving sensor data which is digitized and transformed into a spectrogram. The spectrogram is filtered and converted into a binary representation. A Hough transform is used to find lines in the representation. Related lines are combined, and then converted back into time frequency space. Lines are optimized and composed into a binary message. The binary message can be transmitted and received at a remote location. A reconstructed spectrogram can be created at the remote location from the lines. In other embodiments, parameters such as power, stability, width, and wander can be calculated and transmitted. The reconstructed spectrogram can be displayed along with the parameters.

A real-time spectrum analyzer includes an ADC for providing digitized time domain data, an acquisition control unit for selectively acquiring the time domain data, a processing unit and a display unit. The processing unit includes a domain conversion engine configured to convert the acquired time domain data to frequency domain data, first and second display engines configured to generate first and second display data according to first and second display modes, a frequency content based trigger unit configured to generate a frequency content based trigger signal when the frequency domain data meet a first predetermined trigger condition, and a trigger based enabler configured to generate an enable signal for selectively gating the second display engine in response to the frequency content based trigger signal, such that the second display engine stops generating the second display data, while the first display engine continues to generate the first display data.

A real-time spectrum analyzer includes an ADC for providing digitized time domain data, an acquisition control unit for selectively acquiring the time domain data, a processing unit and a display unit. The processing unit includes a domain conversion engine configured to convert the acquired time domain data to frequency domain data, first and second display engines configured to generate first and second display data according to first and second display modes, a frequency content based trigger unit configured to generate a frequency content based trigger signal when the frequency domain data meet a first predetermined trigger condition, and a trigger based enabler configured to generate an enable signal for selectively gating the second display engine in response to the frequency content based trigger signal, such that the second display engine stops generating the second display data, while the first display engine continues to generate the first display data.

The frequency-mask trigger unit comprises n trigger machines, where n2, in order to evaluate a total of n signal paths. In this context, the n trigger machines are connected to an evaluation unit. For this purpose, at least one trigger range is transferred to the n trigger machines. Moreover, a plurality of result vectors of a signal under analysis transformed into the frequency domain are transferred via the n signal paths to the n trigger machines. Finally, each of the n trigger machines checks whether at least one of the plurality of result vectors of the signal under analysis transformed into the frequency domain infringes the at least one trigger range.

The frequency-mask trigger unit comprises n trigger machines, where n2, in order to evaluate a total of n signal paths. In this context, the n trigger machines are connected to an evaluation unit. For this purpose, at least one trigger range is transferred to the n trigger machines. Moreover, a plurality of result vectors of a signal under analysis transformed into the frequency domain are transferred via the n signal paths to the n trigger machines. Finally, each of the n trigger machines checks whether at least one of the plurality of result vectors of the signal under analysis transformed into the frequency domain infringes the at least one trigger range.

An example method includes the following operations: (i) receiving a device signal from a device under test (DUT); (ii) setting an attenuation value; (iii) applying the attenuation value to the device signal to produce an attenuated device signal for a frequency spectrum analyzing device, where the frequency spectrum analyzing device produces a noise signal; (iv) obtaining a power spectral density value using the frequency spectrum analyzing device, where a power spectral density comprises a power, at a frequency value, of a combined signal that is based on the attenuated device signal and the noise signal; (v) repeating operations (ii), (iii), and (iv) one or more times to produce multiple power spectral density values; (vi) repeating operations (i), (ii), (iii), (iv), and (v) one or more times to add power spectral density values to the multiple power spectral density values; and (vii) obtaining a power spectral density of the device signal.

An example method includes the following operations: (i) receiving a device signal from a device under test (DUT); (ii) setting an attenuation value; (iii) applying the attenuation value to the device signal to produce an attenuated device signal for a frequency spectrum analyzing device, where the frequency spectrum analyzing device produces a noise signal; (iv) obtaining a power spectral density value using the frequency spectrum analyzing device, where a power spectral density comprises a power, at a frequency value, of a combined signal that is based on the attenuated device signal and the noise signal; (v) repeating operations (ii), (iii), and (iv) one or more times to produce multiple power spectral density values; (vi) repeating operations (i), (ii), (iii), (iv), and (v) one or more times to add power spectral density values to the multiple power spectral density values; and (vii) obtaining a power spectral density of the device signal.

An example method includes following operations: (i) receiving a device signal from a device under test (DUT); (ii) setting an attenuation value; (iii) applying the attenuation value to the device signal to produce an attenuated device signal for a frequency spectrum analyzing device, where the frequency spectrum analyzing device produces a noise signal and intermodulation interference; (iv) obtaining a power spectral density value, where the power spectral density value comprises a power, at a frequency value, of a combined signal that is based on the attenuated device signal, the noise signal, and the intermodulation interference; (v) repeating operations (ii), (iii), and (iv) one or more times to produce multiple power spectral density values; (vi) repeating operations (i), (ii), (iii), (iv), and (v) one or more times to add power spectral density values to the multiple power spectral density values; and (vii) obtaining a power spectral density of the device signal.

An example method includes following operations: (i) receiving a device signal from a device under test (DUT); (ii) setting an attenuation value; (iii) applying the attenuation value to the device signal to produce an attenuated device signal for a frequency spectrum analyzing device, where the frequency spectrum analyzing device produces a noise signal and intermodulation interference; (iv) obtaining a power spectral density value, where the power spectral density value comprises a power, at a frequency value, of a combined signal that is based on the attenuated device signal, the noise signal, and the intermodulation interference; (v) repeating operations (ii), (iii), and (iv) one or more times to produce multiple power spectral density values; (vi) repeating operations (i), (ii), (iii), (iv), and (v) one or more times to add power spectral density values to the multiple power spectral density values; and (vii) obtaining a power spectral density of the device signal.

A method for detecting a plurality of useful signals in a total signal. The useful signals correspond to radiofrequency signals emitted by different terminals in a multiplexing frequency band. A plurality of spectrograms calculated that have a compensated linear frequency drift and are respectively associated with different linear frequency drift values. For each analysis frequency and each spectrogram, time envelope filtering of the values is performed at the different times for analyzing the spectrogram at the analysis frequency using a filter representing a reference time envelope of the useful signals. A useful signal is detected at an analysis time and at an analysis frequency in response to a verification of a predefined detection criterion by the value from a spectrogram resulting from filtering at the analysis time and at the analysis frequency.