Logic Analyzer Type-C Interface Arm FPGA Debugging Tool 24m Sampling 8 Channels Analyzer Development Board Module

Documentation
● User manual: https://github.com/wuxx/nanoDLA/blob/master/README.md
● Software:https://github.com/wuxx/nanoDLA/tree/master/software
3.After signals are sampled, you can use decoder to decode them. Let’s take UART sampled data as an example. Click the decoder menu and select UART protocol, then configure UART parameters such as channels, baud rate, data bits, parity type. Afterwards, the data sampled will be decoded.

2.Configure channels and sampling rate, the click “Run” button in the top left corner to sample data

How to Use
1.Plug nanoDLA to PC USB port and open PulseView software

4.After finishing installation of driver, nanoDLA would be recognized as a USB device in device manager

When the driver is installed successfully, there would be a alert as below,

3.Click “Options” and toggle on “List All Devices”. Choose device named “fx2lafw”, whose USB ID is 1D50:608C and select “WinUSB” in the driver blanket. Then click “Install Driver” button.

2.Search “Zadig” in the the start menu of PC, then open it

●Install Driver
1.Plug nanoDLA to PC USB port. nanoDLA will be recognized as other device in device manager

Software Installation
●Install PulseView
Download installation package from https://github.com/wuxx/nanoDLA/tree/master/software and double click the installation package to install

● Small Size: 3.9cm * 2.0cm
● Support operating system like Windows, Linux, Mac, Android
● Support input logic level [-0.5v,5.25v]. low level is [-0.5v, 0.8v], high level is[2v, 5.25v]
● Support up to 24Mhz sampling rate and 8 channels can sample data simultaneously
Features&Specification:
TYPE-C nanoDLA is a hardware and software open source logic analyzer developed and produced by Muse Lab. It is exquisite and compact in appearance with rich functions. It supports up to 24Mhz sampling rate and more than 100 kinds of protocol analysis. 8 channels can sample data simultaneously. Efficiency could be greatly improved in scenarios such as problem location, complex systems with multiple components, timing analysis and performance analysis.