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        "author": "Gaspar Karm",
        "author_email": "gkarm@live.com",
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        "description": "# 80MHz bandwidth with LimeSDR-Mini and GQRX\n[![Build Status](https://travis-ci.org/gasparka/spectrogram.svg?branch=master)](https://travis-ci.org/gasparka/spectrogram)\n\n![Bluetooth GIF](https://github.com/gasparka/spectrogram/blob/master/doc/demo.gif \"Demo\")\n\n[LimeSDR-Mini](https://www.crowdsupply.com/lime-micro/limesdr-mini) diagram:\n\n![Block diagram](https://github.com/gasparka/spectrogram/blob/master/doc/lime_and_diagram.jpg \"Diagram\")\n\n_**Note:** DC-removal is based on [Linear-phase DC Removal Filter](https://www.dsprelated.com/showarticle/58.php) (Dual-MA 1024 taps)_\n\n## Install\n\nInstall the helper script to bootstrap the Docker images (Linux PC/ARM architectures):\n\n```pip install spectrogram```\n\n_**Rasbian note:** Use ```pip3```. Executable is installed to ```/home/pi/.local/bin/spectrogram```, which is not on PATH by default._\n\n## Usage\n\nInvoking ```spectrogram``` does following:\n1. If needed, programs the LimeSDR-Mini with FPGA accelerator ( restore with ``spectogram --fpga_restore``)\n2. Starts the local 'SoapySDR-Remote' server\n3. Starts GQRX\n\n_**Warning:** You should **cool your LimeSDR-Mini**, especially the FPGA. It takes 2.5 minutes for FPGA temperature to rise from 30C to 80C, after which you risk damage!_\n\nWorks on RaspberryPi:\n\n![Pi setup](https://github.com/gasparka/spectrogram/blob/master/doc/lime_mini_screen.jpg \"lime_mini_screen\")\n\n_**Notes:** Current draw was around 1.25A@5V. 5\u2019 TFT-Display created some noise in the spectrogram - this was not a problem with HDMI display.\nOTOH HDMI supports higher resolution, which may cap the CPU if GQRX window is too big (updating the waterfall is expensive)._\n\n### Remote usage\n\nPair your LimeSDR-Mini with RaspberryPi and execute ```spectrogram --server_only``` - this sets up a SoapySDR-Remote server.\nNext, on the monitoring device, execute ```spectrogram``` - this scans for remote devices and opens GQRX if one is found.\nNetwork bandwidth will be around 1 MB/s.\n\n\n## MISC\n\n### Using without GQRX\n[See demo notebook](https://github.com/gasparka/spectrogram/blob/master/doc/usage_demo.ipynb)\n\n### Accuracy vs floating-point model\n\nThis is a fixed-point accelerator, accuracy against the floating-point model has been verified.\n\n\n![fix vs float accuracy](https://github.com/gasparka/spectrogram/blob/master/doc/fix_vs_float.png)\n\n[Reproduce](https://github.com/gasparka/pyha/blob/develop/pyha/applications/spectrogram_limesdr/spectrogram_limesdr.ipynb)\n\n### How is 512 point FFT comparable to 131k FFT??\nIt's about how many samples are averaged e.g. the 131k FFT averages 131k samples - same can be achieved with 512 point FFT and averaging 256 results - 512*256 = 131k.\n\n![132k FFT vs 512 + averaging](https://github.com/gasparka/spectrogram/blob/master/doc/131k_vs_512.png)\n[Reproduce](https://github.com/gasparka/spectrogram/blob/master/doc/131k_vs_512.ipynb)\n\nIn general this is a trade-off - hardware complexity is reduced, but you will lose ~3dB dynamic range.\n\n### Cooling solutions\n\n#### No cooling\n\n![No cooling](https://github.com/gasparka/spectrogram/blob/master/doc/no_cools.JPG)\n\nTook 5 minutes to go from cold to critical FPGA temperature.\n\n**You will risk damaging your board!**\n\n\n#### Heat-sink on FPGA\n\n![FPGA sinked](https://github.com/gasparka/spectrogram/blob/master/doc/fpga_cools.JPG)\n\nTemperature is stable at ~65C after 10 minutes.\n\n\n#### Heat-sink everything\n\n![Massive sink](https://github.com/gasparka/spectrogram/blob/master/doc/all_cools.JPG)\n\nTemperature is stable at ~54C after 20 minutes.",
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