Measurement of power distribution network (PDN) Z-parameters and S-parameters of a programmable logic device (PLD), such as field programmable gate array (FPGA) or complex programmable logic device (CPLD), is performed by configuring and using only logic blocks and I/O blocks commonly available in any existing programmable logic device, without the need of built-in dedicated circuits. The measured models include the PDN elements on the PLD die, PLD package, and PCB. The S-parameter and Z-parameter models can be then used in circuit simulation tools to evaluate the power supply noise in the PLD logic core and the timing jitter in the PLD I/O data links.

Nuclear Magnetic Resonant Imaging (also called Magnetic Resonant Imaging or MRI) devices which are implantable, internal or insertable are provided. The disclosure describes ways to miniaturize, simplify, calibrate, cool, and increase the utility of MRI systems for structural investigative purposes, and for biological investigation and potential treatment. It teaches use of target objects of fixed size, shape and position for calibration and comparison to obtain accurate images. It further teaches cooling of objects under test by electrically conductive leads or electrically isolated leads; varying the magnetic field of the probe to move chemicals or ferrous metallic objects within the subject. The invention also teaches comparison of objects using review of the frequency components of a received signal rather than by a pictorial representation.

A system is provided to analyze cross-modulation distortion in audio devices, which may include testing with audio frequencies. One or more distortion signals from the audio device may be measured for an amplitude, phase, and or frequency modulation effect. In another embodiment a musical signal may be used as a test signal. Providing additional test signals to the audio device can induce a time varying cross-modulation distortion signal from an output of the audio device. Also utilizing at least one additional filter, filter bank, demodulator and or frequency converter and or frequency multiplier provides extra examination of distortion. Also frequency and or phase response can be measured with the presence of a de-sensing signal and or another signal that induce near slew rate limiting or near overload condition of the device under test.

A system is provided to analyze cross-modulation distortion in audio devices, which may include testing with audio frequencies. One or more distortion signals from the audio device may be measured for an amplitude, phase, and or frequency modulation effect. In another embodiment a musical signal may be used as a test signal. Providing additional test signals to the audio device can induce a time varying cross-modulation distortion signal from an output of the audio device. Also utilizing at least one additional filter, filter bank, demodulator and or frequency converter and or frequency multiplier provides extra examination of distortion. Also frequency and or phase response can be measured with the presence of a de-sensing signal and or another signal that induce near slew rate limiting or near overload condition of the device under test.

A signal processing device is described, with a signal input for receiving an input signal, a first trigger unit generating a trigger signal based upon a first trigger event in the input signal and an acquisition memory for acquiring the input signal at least based upon the trigger signal so as to provide an acquired signal. The signal processing device also comprises a second trigger unit connected to the acquisition memory. The second trigger unit is adapted to process the acquired signal according to a second trigger. The second trigger unit is adapted as a zone trigger unit applying a zone trigger. Further, a method of applying a zone trigger is described.

A signal analysis system includes a memory and a processor. The memory stores instructions; and the processor executes the instructions. When executed by the processor, the instructions cause the signal analysis system to: filter an orthogonal frequency-division multiplexed signal with a first filtering bandwidth larger than a modulation bandwidth of the orthogonal frequency-division multiplexed signal to produce a filtered analog signal; digitize the filtered analog signal to obtain a digitization of the filtered analog signal; obtain a single measurement of a modulated waveform from the digitization; upsample the single measurement at a multiple of five (5) times or higher of a Nyquist sampling rate; and compute a complementary cumulative distribution function (CCDF) of the modulated waveform of the orthogonal frequency-division multiplexed signal based on upsampling the single measurement.

A signal analysis system includes a memory and a processor. The memory stores instructions; and the processor executes the instructions. When executed by the processor, the instructions cause the signal analysis system to: filter an orthogonal frequency-division multiplexed signal with a first filtering bandwidth larger than a modulation bandwidth of the orthogonal frequency-division multiplexed signal to produce a filtered analog signal; digitize the filtered analog signal to obtain a digitization of the filtered analog signal; obtain a single measurement of a modulated waveform from the digitization; upsample the single measurement at a multiple of five (5) times or higher of a Nyquist sampling rate; and compute a complementary cumulative distribution function (CCDF) of the modulated waveform of the orthogonal frequency-division multiplexed signal based on upsampling the single measurement.

A harmonic detection system (1) comprises a measurement component (71), a harmonic abnormality determination unit (561), and a smartphone (9). The measurement component (71) is installed at a specific position on a distribution line constituting a distribution network (100), and measures data related to the current of the distribution line. The harmonic abnormality determination unit (561) uses some or all of the data related to current as detection data to detect abnormality related to harmonics. The smartphone (9) is owned by a user (G), and notifies the user that an abnormality has occurred in the distribution line when a harmonic is detected.

A system for testing a Nakagami fading channel and a verification method thereof are provided. The testing system includes a signal generator, a Nakagami fading channel simulator, and a computer. The signal generator is used to output a sine wave signal whose frequency is f and transmit the sine wave signal to the Nakagami fading channel simulator and the computer. The Nakagami fading channel simulator is used to generate a Nakagami fading channel. The computer is used to perform data processing and analysis. In the verification method, time domain fading characteristics, first-order statistics characteristics, and second-order statistics characteristics of the Nakagami fading channel are respectively verified. Verifying the time domain fading characteristics is verifying a waveform fluctuation rate and a fluctuation range on a time domain under different Nakagami fading factors. Verifying the first-order statistics characteristics is mainly verifying amplitude and phase distribution statistics characteristics of the Nakagami fading channel by means of Kolmogorov Smirnov (KS) hypothesis test. Verifying the second-order statistics characteristics is mainly verifying the shape and bandwidth of a power spectrum density function. In the present invention, verification on performance of the Nakagami fading channel simulator or a simulation model has features of accuracy and feasibility.

A system for testing a Nakagami fading channel and a verification method thereof are provided. The testing system includes a signal generator, a Nakagami fading channel simulator, and a computer. The signal generator is used to output a sine wave signal whose frequency is f and transmit the sine wave signal to the Nakagami fading channel simulator and the computer. The Nakagami fading channel simulator is used to generate a Nakagami fading channel. The computer is used to perform data processing and analysis. In the verification method, time domain fading characteristics, first-order statistics characteristics, and second-order statistics characteristics of the Nakagami fading channel are respectively verified. Verifying the time domain fading characteristics is verifying a waveform fluctuation rate and a fluctuation range on a time domain under different Nakagami fading factors. Verifying the first-order statistics characteristics is mainly verifying amplitude and phase distribution statistics characteristics of the Nakagami fading channel by means of Kolmogorov Smirnov (KS) hypothesis test. Verifying the second-order statistics characteristics is mainly verifying the shape and bandwidth of a power spectrum density function. In the present invention, verification on performance of the Nakagami fading channel simulator or a simulation model has features of accuracy and feasibility.