Giter Site home page Giter Site logo

deepware-ai / mixed_signal_mmwave_edge_accelerator Goto Github PK

View Code? Open in Web Editor NEW

This project forked from nhpoole/mixed_signal_mmwave_edge_accelerator

0.0 0.0 0.0 213.1 MB

License: Other

MATLAB 0.02% Makefile 0.13% Verilog 93.27% C 0.06% Tcl 0.83% Shell 0.03% Python 2.07% SourcePawn 0.61% GLSL 0.05% Batchfile 0.17% HTML 2.77% SystemVerilog 0.01% Fortran 0.01% Cuda 0.01%

mixed_signal_mmwave_edge_accelerator's Introduction

Mixed-Signal Edge Accelerator for Real-Time mmWave Platform Vibration Compensation

This repository contains the complete designs, layouts, verification files, processing scripts, and documentation for an analog/mixed-signal mmWave edge processing chip implemented using the open-source Skywater 130nm process technology. The chip is designed to carry out edge-based, real-time inertial sensor fusion for vibratory motion compensation on a mmWave radar platform. Full documentation of the motivation and background for the chip can be found in the "Background_and_Introduction.pdf" file in the top level of the repository. Details on the designs and layouts can be found in the "MmWave_Sensor_Fusion_Edge_Accelerator.pdf" file. Finally, information on verification tests can be found in the "Designs_Tests_Documentation.pdf" file. Other directories in this project repository include:


designs/                :   All analog schematics for the chip.
digital_synth_pnr/  :   The place and route flows for the digital portions of the chip.
images/                 :   Screen shots of the final chip, including the analog subsystem.
layouts/                 :   Layouts for all the analog blocks.
matlab_scripts/      :   Post-processing and simulation MATLAB scripts for the various analog and digital designs.
saved_gds_files/    :   The final GDS files for the chip.
simulations/          :   SPICE design files and SPICE testbench files for the analog designs.
verilog/                  :   RTL for the digital designs.

mixed_signal_mmwave_edge_accelerator's People

Contributors

nhpoole avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.