Your cart is currently empty!
Author: jlivingston
-
Using ChatGPT and Moku Cloud Compile to perform custom transient fault detection
When performing real-time fault detection, you typically run into a trade-off: you can either sample at a high rate but face long swaths of dead time, or you can sample at a very low rate with nearly continuous data. Obviously, neither method is ideal. However, there is a way to better optimize your test rig…
-
Characterizing microphone frequency response and directionality with LabVIEW and the Moku:Go Frequency Response Analyzer – Part 1
Introduction Understanding a microphone’s frequency response and directional sensitivity is essential for evaluating performance from the design stage through to production. Using the Shure SM57 microphone as our device under test (DUT), we aim to assess the characteristics of the microphone, as well as characterize the specific DUT by comparing our findings with the manufacturer’s…
-
Implementing a matched filter for radar and waveform triggering using the Moku:Pro FIR Filter Builder
Accurate detection of signal presence in noisy channels is critical for many applications, from time-of-flight ranging methods like radar and LiDAR to security engineering and hardware penetration tests. The matched filter is the optimal filter design for presence and time-of-arrival detection of a known signal. This application note presents a demonstration of the effectiveness of…
-
Liquid Instruments announces Global Roadshow to explore emerging trends in test and measurement
SAN DIEGO and CANBERRA, Australia — July 11, 2023 — Liquid Instruments, a leading innovator of software-defined instrumentation, today announced that it will host a 2023 Global Roadshow in more than a dozen major cities across Asia, Europe, and North America to share the latest trends in test and measurement, strategies to overcome test challenges…
