From c52874e52e0d99edac3843e2abaee39892e02e6e Mon Sep 17 00:00:00 2001 From: Carsten Wulff Date: Fri, 8 Nov 2024 23:20:13 +0100 Subject: [PATCH] Added first measurements --- meas/sar.ipynb | 273 ++++++++++++++++++++++++++++++++++++++++++++++ meas/sarvcd2df.py | 55 ++++++++++ 2 files changed, 328 insertions(+) create mode 100644 meas/sar.ipynb create mode 100644 meas/sarvcd2df.py diff --git a/meas/sar.ipynb b/meas/sar.ipynb new file mode 100644 index 0000000..9e5eeaf --- /dev/null +++ b/meas/sar.ipynb @@ -0,0 +1,273 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 2024-11-05\n", + "\n", + "The SAR is alive! Got a ping from Sylvain started testing TinyTapeout 6.\n", + "\n", + "- The SAR is doing something\n", + "- The CLK fall to DONE rise < 83 ns (sim 44 ns)\n", + "- Noise < 1.5 LSB" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "df = pd.read_csv(\"sar.csv\")\n", + "df[\"time\"] = df[\"time\"]/10\n", + "df[\"us\"] = df[\"time\"]/1000" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "df.set_index(\"time\",inplace=True)\n", + "df[\"RLSB\"] = 2**3*df[\"B3\"] + 2**2*df[\"B2\"] + 2**1*df[\"B1\"] + 2**0*df[\"B0\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "13.329743164871582\n", + "1.4651174032449195\n" + ] + }, + { + "data": { + "text/plain": [ + "(100000.0, 200000.0)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dfa = df[df[\"DONE\"] < 0.5]\n", + "print(dfa[\"RLSB\"].mean())\n", + "print(dfa[\"RLSB\"].std())\n", + "plt.plot(dfa[\"RLSB\"])\n", + "\n", + "plt.xlim(100000,200000)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(10.0, 14.0)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "\n", + "fig,ax = plt.subplots(3,1,sharex=True)\n", + "ax[0].step(df.us,df[\"CLK\"])\n", + "ax[0].set_ylabel(\"CLK\")\n", + "ax[1].step(df.us,df[\"DONE\"])\n", + "ax[1].set_ylabel(\"DONE\")\n", + "ax[2].step(df.us,df[\"RLSB\"])\n", + "ax[2].set_ylabel(\"DO\")\n", + "plt.xlabel(\"Time [us]\")\n", + "plt.xlim(10,14)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 2024-11-08\n", + "\n", + "Got some more data from Sylvain\n", + "\n", + "## Sine\n", + "\n", + "Not sure I got the sampling correct. I should really check the digital when done falls. \n", + "\n", + "The funky harmonics could be kickback. Last time I saw this it helped to have 10 pF 1% caps between the inputs, and to ground [https://analogcmos.wordpress.com](https://analogcmos.wordpress.com)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "df2 = pd.read_pickle(\"sar_sine_100kHz_500mV.pkl\")\n", + "df2.set_index(\"time\",inplace=True)\n", + "df2.index = pd.to_datetime(df2.index,unit='ns')" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import cicsim as cs # I'm using latest and greatest cicsim, and if it does not work, then I might not have updated pypi\n", + "import numpy as np\n", + "def paramToStr(data):\n", + " return \"A[dB]=%.2f SNDR[dB]=%.2f SNDR[dBFS]=%.2f\\nSFDR[dBc]=%.2f ENOB=%.2f ENOBFS=%.2f NBPT=%d\" %(data[\"amp\"],data[\"sndr\"],data[\"sndrfs\"],data[\"sfdr\"],data[\"enob\"],data[\"enobfs\"],data[\"nbpt\"])\n", + "\n", + "\n", + "def calc(df,tsample,name):\n", + " o = df[name].iloc[1000:]\n", + " oxx = o.resample(pd.Timedelta(tsample,unit=\"ns\")).first().ffill()\n", + " scc = cs.SimCalc()\n", + " data = None\n", + " ydB = None\n", + " (data,ydB) = scc.fftWithHanning(oxx.to_numpy())\n", + " x = np.linspace(0,0.5*1/(tsample*1e-9),num=int(data[\"nbpt\"]/2))\n", + " return (data,ydB,oxx,x)\n", + "\n", + "fig,ax = plt.subplots(1,1,figsize=(16,9))\n", + "ax = [ax]\n", + "data,yff,y,x = calc(df2,1/4*1e3,\"val\")\n", + "ax[0].plot(x,yff,label=paramToStr(data))\n", + "ax[0].set_ylim(-100,0)\n", + "#plt.xscale(\"log\")\n", + "ax[0].legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Noise\n", + "\n", + "The noise level seems OK. 7 ENOB referred to full scale does not sound too bad." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "df3 = pd.read_pickle(\"sar_idle.pkl\")\n", + "df3.set_index(\"time\",inplace=True)\n", + "df3.index = pd.to_datetime(df3.index,unit='ns')\n", + "data,yff,y,x = calc(df3,1/4*1e3,\"val\")\n", + "fig,ax = plt.subplots(1,2,figsize=(16,9))\n", + "ax[0].plot(x,yff,label=paramToStr(data))\n", + "ax[1].plot(y)\n", + "ax[0].set_ylim(-140,0)\n", + "ax[0].legend()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/meas/sarvcd2df.py b/meas/sarvcd2df.py new file mode 100644 index 0000000..4ad9ddb --- /dev/null +++ b/meas/sarvcd2df.py @@ -0,0 +1,55 @@ +#!/usr/bin/env python3 + +import click +import pandas as pd +import io +from vcd.reader import TokenKind, tokenize + +names = dict() +state = dict() +data = None + +alldata = list() + +@click.command() +@click.argument("fvcd") +def cli(fvcd): + global data + count = 0 + with open(fvcd,'rb') as fi: + tokens = tokenize(fi) + N = 18 + while (count < 2**N ): + token = next(tokens) + if(token is None): + break + if(token.kind is TokenKind.VAR): + names[token.data.id_code] = token.data.reference + state[token.data.id_code] = 0 + elif(token.kind is TokenKind.CHANGE_TIME): + if(data is not None): + val = 0 + for k in names: + b = int(names[k].replace("D","")) + if(b == 7): + val = val - state[k]*2**b + else: + val = val + state[k]*2**b + data["val"] = val/128 + #print(data) + alldata.append(data) + pass + data = dict() + data["time"] = token.data/10 #Convert to ns + elif(token.kind is TokenKind.CHANGE_SCALAR): + state[token.data.id_code] =int(token.data.value) + + count = count + 1 + + df = pd.DataFrame(alldata) + df.to_pickle(fvcd.replace(".vcd",".pkl")) + + + +if __name__ == "__main__": + cli()