{ "cells": [ { "cell_type": "markdown", "id": "16179d2b-184a-4e55-9d75-adb4604e7495", "metadata": {}, "source": [ "# FMCW Radar 204 - Stitching\n", "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matt-chv/mmWrt/blob/main/docs/FMCW-Radar-204-Stitching.ipynb)" ] }, { "cell_type": "markdown", "id": "227cf592-5c1c-4d61-a3e1-10d66252b465", "metadata": {}, "source": [ "## FFT Stitching\n", "\n", "FFT stitching is a signal processing technique used to combine multiple smaller, overlapping Fast Fourier Transforms (FFTs) into a single, seamless, high-resolution spectrum. It is commonly used in radar systemsto achieve fine frequency resolution across a broad bandwidth without requiring a single, massive, computationally expensive FFT.\n", "\n", "This notebook will provide visual illustrations of this concept" ] }, { "cell_type": "code", "execution_count": null, "id": "2d24f298-ef6a-4770-9d40-67dd08a97e19", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.9" } }, "nbformat": 4, "nbformat_minor": 5 }