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Dylan Perez
dylan@liquidinstruments.com
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Uploading Moku Cloud Compile bitstream via app
Published April 28th, 2025 by Dylan Perez
With the release of Moku Cloud Compile (MCC), users have the ability to deploy their own custom HDL code to the FPGA onboard Moku. For more information, visit the MCC page on our website. Once the HDL is written and synthesized, the resulting downloadable file is a bitstream in .tar format. This bitstream is able to be uploaded to the FPGA via the a
How to convert voltage units to phase units from the Lock-In Amplifier
Published April 8th, 2025 by Dylan Perez
Liquid Instrument's Lock-In Amplifier (LIA) can recover amplitude and phase information from a low signal-to-noise ratio (SNR) signal. The LIA can recover the in-phase (X) and quadrature (Y) component of your signal, or can be switched to polar mode which will output the amplitude (R) and phase ( Θ) of your signal. When the LIA is set to Θ mode, the
How does streaming work on Moku?
Published June 23rd, 2025 by Dylan Perez
The Data Logger can log data with the Moku app or API, or stream data over the network via the API. Logging collects data over time, storing the data on Moku. Users can download the data in multiple formats and process as needed. Streaming sends data from the Moku to a PC in real time, bypassing the need for storing the data. Data Logging The Data
Output Impedance of Moku
Published March 26th, 2025 by Dylan Perez
Each Moku device has a specified output impedance. On the Moku:Delta, Moku:Pro, and Moku:Lab, the output impedance is 50Ω. On the Moku:Go, the output impedance is 200Ω. On the Moku:Delta, Moku:Pro, and Moku:Lab, some instruments allow you to change the output termination when using them in single instrument mode. One example of this is the output o
Saving and uploading instrument configuration files with Moku API
Published September 22nd, 2025 by Dylan Perez
The ability to save multiple instrument configuration files and upload them to any Moku is a new feature in MokuOS 4.0.1, and with the release of 4.0.2, users can now save and upload instrument configuration files with the Moku API. Each instrument now has a function called save_settings()/load_settings() which gives the ability to save the instrum
How to download bitstream files with mokucli
Published September 22nd, 2025 by Dylan Perez
It's now possible to use mokucli to download the instrument bitstreams using: mokucli instrument download <MokuOS_version> This will automatically make the bitstreams available for all API packages. Users can also use mokucli to download bitstream files to a specified directory. To do this, run the command: mokucli instrument download <M
How to save and upload configuration files
Published August 13th, 2025 by Dylan Perez
With the release of MokuOS 4.0, users now have the ability to save multiple multi-instrument configurations and upload them to any Moku device. First, create a multi-instrument configuration: Then, navigate to the menu on the top left and select ‘Save configuration…’. Next, choose the name and destination for the .mokuconf file: To load configurat
Connecting to Moku via API Using Serial Number
Published January 23rd, 2025 by Dylan Perez
Using the Moku API to connect to and configure your Moku is straightforward and well documented on our API documentation site (https://apis.liquidinstruments.com). Typically, users will opt to use the IPv4 or IPv6 address of the Moku to point to the device to connect to in the script. ## This is an example of connecting to Moku using the IPv4 addre
Dynamic Amplitude Adjustment
Published December 13th, 2024 by Dylan Perez
The Dynamic amplitude setting in the Frequency Response Analyzer is a powerful tool that allows you to get the most accurate frequency response of your device under test (DUT). When using the frequency response analyzer, the signal going to your DUT should usually have the largest amplitude possible to ensure that you have a high resolution curve. H
Can Moku be used with Raspberry Pi?
Published April 8th, 2025 by Dylan Perez
While the Moku software and mokucli are not currently available for ARM processors, it is possible to use API commands to control your Moku. To install the Moku Python API onto the Raspberry Pi, first open up a terminal and run python -m pip install moku and wait for that to complete. Then, run moku download --fw_ver=601 (replace 601 with the
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