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Compact, multichannel vector signal generator capable of signal generation up to 8.5 GHz with 1 GHz of modulation bandwidth per channel.
Enable faster, flexible testing for 802.3ck and PCIe® 6.0 designs with a 50+ GHz probe.
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Learn about how waveform analytics can be used for failure analysis.
Learn:
Lesson 1 - Introduction - IoT Anomalous Waveform Analytics for Failure Analysis
Provides an introduction to anomalous waveform analytics (AWA), a technique for identifying and analyzing patterns in waveform data that can indicate device failures.
Lesson 2 - Importance of MCU and FPGA Reliability
Discusses the importance of MCU and FPGA reliability in IoT devices.
Lesson 3 - Key Challenges
Discusses the key challenges in identifying and diagnosing failures in IoT devices.
Lesson 4 - Keysight Solution
Demonstrates how to use the CX3300A and Anomalous Waveform Analytics software to perform failure analysis on an IoT device.
Lesson 5 - Efficient Analysis of Large Data Sets
Discusses the challenges of analyzing large data sets of waveform data.
Lesson 6 - Demo - Overview
Provides an overview of the demo that is included in the course. The demo shows how to use Keysight's Anomaly Waveform Analysis (AWA) software to analyze waveform data from an IoT device.
Lesson 7 - Demo - AWA
Demonstration of how to use Keysight's Anomaly Waveform Analysis (AWA) software to analyze waveform data from an IoT device.
Lesson 8 - Application Example
Provides an application example of how to use Keysight's Anomaly Waveform Analysis (AWA) software to analyze waveform data from an IoT device.
Lesson 9 - Summary - IoT Anomalous Waveform Analytics for Failure Analysis
Summarizes the key concepts covered in the course and provides resources for further learning.
Data Sheets
CX3300A Series Device Current Waveform Analyzer
Use IoT design anomalous waveform analytics for failure analysis.
hardware
CX3324A Device Current Waveform Analyzer, 1 GSa/s, 14/16-bit, 4 Channel
CX3324A is a 4-channel mainframe with up to 16-bit wide resolution. The memory depth and the bandwidth are upgradable up to 256 MSa/s and 200 MHz respectively.
How to Characterize Low-Power Integrated Circuits
Use an SMU with integrated pulser / digitizer and IV curve measurement software to characterize low-power ICs
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