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Home / Knowledge Base / Application Notes (Page 2)

Application Notes

SDS FFT performance on low frequency signals

SDS FFT performance on low frequency signals

Like many modern oscilloscopes, the SIGLENT SDS series feature FFT math functions that calculate frequency information from the acquired voltage vs. time data. FFT stands for Fast Fourier Transform, and is a common method for determining the frequency content of a time-varying signal. Converting time domain data to the frequency domain makes measuring characteristics like phase noise and harmonics...

SDS FFT performance on low frequency signals

Programming Example: SDS Oscilloscope screen image capture using Python over LAN

Here is a brief code example written in Python 3.4 that uses a socket to pull a display image (screenshot) from a SIGLENT SDS1000X-E scope via LAN and save it to the local drive of the controlling computer. NOTE: This program saves the picture/display image file in the same directory that the .py file is being run from. It will overwrite any existing file that has the same na...

SDS FFT performance on low frequency signals

Measuring Power Supply Control Loop Response with Bode Plot II

Introduction Stability is one of the most important characteristics in power supply design. Traditionally, stability measurements require expensive frequency response analysers (FRA) which are not always available in a laboratory. SIGLENT has released Bode Plot Ⅱ features to the SIGLENT SDS1104X-E, SDS1204X-E, SDS2000X-E, SDS2000X Plus, and SDS5000X series of oscilloscopes...

SDS FFT performance on low frequency signals

Measuring the Modulation Index of an AM Signal using an FFT

Introduction In AM schemes, the modulation index refers to the amplitude ratio of the modulating signal to the carrier signal. With the help of Fast-Fourier-Transforms (FFT), the modulation index can be obtained by measuring the sideband amplitude and the carrier amplitude. In this application note, we are going to show a convenient method of using the new Peaks/Markers functi...

SDS FFT performance on low frequency signals

Programming Example: SDS Oscilloscope save a copy of a screen image via Python/PyVISA

Here is a brief code example written in Python 3.4 that uses PyVISA to pull a display image (screenshot) from a SIGLENT SDS oscilloscope via USB and save it to a drive on the controlling computer. NOTE: This program saves the picture/display image file to the E: drive, which may or may not exist on the specific computer being used to run the application. Download Python 3.4...

SDS FFT performance on low frequency signals

Power Supply Design: Load Step Response with a SIGLENT DC Electronic Load

Building a power supply that can handle various loads without oscillating can be a challenge. Computational models and computer simulations can help get your design headed in the right direction, but physical testing is essential to proving the performance of your design. One method of quickly determining stability is to use a load step response. In this test, a DC electronic load is used to...

SDS FFT performance on low frequency signals

Creating an arbitrary IQ Waveform using MatLAB and UltraIQ

Introduction The DSG3000 (DSG3000B) Series RF signal source (Figure 1) is designed for RF engineering and signal development and test up to 6 GHz. The instrument is also capable of a number of modulation formats. One of the more advanced capabilities is IQ modulation that is enable...

SDS FFT performance on low frequency signals

Precompliance: Susceptibility testing

EMC Precompliance Testing: Immunity/Susceptibility Solution: Products that contain electronics can be sensitive to radio frequency (RF) interference. Devices that experience RF interference can be prone to improper or failed operations. Products that suffer problems when exposed to RF interference are said to be susceptible to interference while products that do not exhibit is...

SDS FFT performance on low frequency signals

VNA Measurements Application Note

Basic measurements with a Vector Network Analyser In our wireless world the need of RF component testing is one of a key factors to bring a product to market. Devices are getting smaller and are containing more and more complex components. It is a must to have knowledge of complex impedance (or admittance) and reflection / transmission parameters to bring the most optimum fun...

SDS FFT performance on low frequency signals

Real-Time vs. Swept Spectrum Analysers

Real-Time Spectrum Analyser vs Spectrum Analyser Today the RF industry has to face more and more the open question, how to transport the data from my test device (DUT) to different receiver spots (like to transmit data into World Wide Web). For IoT applications the most common way is, to use wireless transmission of data via common standards like Bluetooth, Wi-Fi or Zigbee. A more complex tes...

SDS FFT performance on low frequency signals

IoT Antenna Debugging

Wireless Communication and Function The internet of Things (IoT) is one of the fastest growing areas of technology today. In this increasing competitive field, the greatest challenge facing IoT device manufacturers is determining how to create the smallest devices possible without sacrificing performance in terms of range or power. For IoT de...

SDS FFT performance on low frequency signals

FM signal transmission and demodulation demo

Solution: This application note is designed to show FM data transmission and modulation using some common test instruments. An FM transmission consists of a wave who's frequency is modulated, or changed, with respect to an input signal. If the input signal frequency changes, so does the carrier frequency. The modulating signal affects the FM deviation. The total deviation is a function of th...

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