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updated Murmann survey link #163

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a38b9b9
updated Murmann survey link
Jul 16, 2024
418f515
new reference
Jul 16, 2024
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74 changes: 38 additions & 36 deletions src/cbadc/fom.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
This module provides tools to evaluate standard figures of merit as well as
provides an interface to Prof. Boris Murmann's famous `ADC Survey <https://web.stanford.edu/~murmann/adcsurvey.html>`_.
"""

import logging
import os
from typing import List, Tuple
Expand Down Expand Up @@ -193,7 +194,8 @@ class MurmannSurvey:

def __init__(self):
self._version = [
"https://web.stanford.edu/~murmann/publications/ADCsurvey_rev20210628.xls"
# "https://web.stanford.edu/~murmann/publications/ADCsurvey_rev20210628.xls"
"https://github.com/bmurmann/ADC-survey/blob/34b77796ec2c981b20836b3fc369270a23c89944/xls/ADCsurvey_latest.xlsx"
]

self._current_year = 2021
Expand All @@ -209,24 +211,24 @@ def __init__(self):
if not os.path.isfile(filename):
logging.info("Downloading Murmann Survey.")
req = requests.get(self._version[-1], allow_redirects=True)
with open(filename, 'wb') as f:
with open(filename, "wb") as f:
f.write(req.content)
else:
logging.info(f"Found local version of {filename}")

_temp = pd.read_excel(filename, sheet_name=['ISSCC', 'VLSI'])
_temp['ISSCC']['CONFERENCE'] = 'ISSCC'
_temp['VLSI']['CONFERENCE'] = 'VLSI'
_temp = pd.read_excel(filename, sheet_name=["ISSCC", "VLSI"])
_temp["ISSCC"]["CONFERENCE"] = "ISSCC"
_temp["VLSI"]["CONFERENCE"] = "VLSI"
self.db = pd.concat(_temp, ignore_index=True)
self._architecture = pd.unique(self.db['ARCHITECTURE'])
self._architecture = pd.unique(self.db["ARCHITECTURE"])
self._color_map = matplotlib.cm.viridis
self._color_list = [
matplotlib.colors.rgb2hex(self._color_map(i))
for i in np.linspace(0, 0.9, len(self._architecture))
]

# Fix some data problems
self.db['AREA [mm^2]'] = pd.to_numeric(self.db['AREA [mm^2]'], errors='coerce')
self.db["AREA [mm^2]"] = pd.to_numeric(self.db["AREA [mm^2]"], errors="coerce")

def columns(self) -> List[str]:
"""Returns the columns of the dataframe
Expand Down Expand Up @@ -264,19 +266,19 @@ def energy(self):
ax = plt.gca()

# Plot from Murmann survey
self._Murmann_style_data_and_legends('SNDR_hf [dB]', 'P/fsnyq [pJ]', ax)
self._Murmann_style_data_and_legends("SNDR_hf [dB]", "P/fsnyq [pJ]", ax)

# Plot FoM lines
_x = [40, 120]
_y = [1e12 * self._FoMW_SNDR_to_p_fs(1e-15, x) for x in _x]
ax.plot(_x, _y, '--', color='green', label='FoMW 1fJ/conv-step')
ax.plot(_x, _y, "--", color="green", label="FoMW 1fJ/conv-step")
_x = [40, 120]
_y = [1e12 * self._FoMS_SNDR_to_p_fs(185, x) for x in _x]
ax.plot(_x, _y, color='green', label='FoMS=185dB')
ax.plot(_x, _y, color="green", label="FoMS=185dB")

# Estetics
_ = ax.legend()
ax.set_yscale('log')
ax.set_yscale("log")
ax.set_title("Energy")
ax.grid(True, which="both")
ax.set_xlim((10, 120))
Expand All @@ -298,19 +300,19 @@ def aperture(self):
ax = plt.gca()

# Plot from Murmann survey.
self._Murmann_style_data_and_legends('SNDR_hf [dB]', 'fin_hf [Hz]', ax)
self._Murmann_style_data_and_legends("SNDR_hf [dB]", "fin_hf [Hz]", ax)

# Jitter lines
_y = [1e6, 1e11]
_x = [self._f_sigma_to_jitter_sndr(1e-12, y) for y in _y]
ax.plot(_x, _y, color='red', label='Jitter=1psrms')
ax.plot(_x, _y, color="red", label="Jitter=1psrms")
_y = [1e6, 1e11]
_x = [self._f_sigma_to_jitter_sndr(1e-13, y) for y in _y]
ax.plot(_x, _y, '--', color='red', label='Jitter=0.1psrms')
ax.plot(_x, _y, "--", color="red", label="Jitter=0.1psrms")

# Estetics
_ = ax.legend()
ax.set_yscale('log')
ax.set_yscale("log")
ax.set_title("Aperture")
ax.grid(True, which="both")
ax.set_xlim((10, 120))
Expand All @@ -332,17 +334,17 @@ def walden_vs_speed(self):
ax = plt.gca()

# Plot from Murmann Survey
self._Murmann_style_data_and_legends('fsnyq [Hz]', 'FOMW_hf [fJ/conv-step]', ax)
self._Murmann_style_data_and_legends("fsnyq [Hz]", "FOMW_hf [fJ/conv-step]", ax)

# Envelope
_x = np.logspace(3, 12, 100)
_y = [self._FoMW_envelope(x) for x in _x]
ax.plot(_x, _y, '--', color='black', label='Envelope')
ax.plot(_x, _y, "--", color="black", label="Envelope")

# Estetics
_ = ax.legend()
ax.set_yscale('log')
ax.set_xscale('log')
ax.set_yscale("log")
ax.set_xscale("log")
ax.set_title("Walden's FoM vs Speed")
ax.grid(True, which="both")
ax.set_xlim((1e4, 5e11))
Expand All @@ -364,16 +366,16 @@ def schreier_vs_speed(self):
ax = plt.gca()

# Plot from Murmann Survey
self._Murmann_style_data_and_legends('fsnyq [Hz]', 'FOMS_hf [dB]', ax)
self._Murmann_style_data_and_legends("fsnyq [Hz]", "FOMS_hf [dB]", ax)

# Envelope
_x = np.logspace(2, 12, 100)
_y = [self._FoMS_envelope(x) for x in _x]
ax.plot(_x, _y, '--', color='black', label='Envelope')
ax.plot(_x, _y, "--", color="black", label="Envelope")

# Estetics
_ = ax.legend()
ax.set_xscale('log')
ax.set_xscale("log")
ax.set_title("Schreier's FoM vs Speed")
ax.grid(True, which="both")
ax.set_xlim((1e2, 1e12))
Expand Down Expand Up @@ -406,41 +408,41 @@ def select_bw_and_enob(self, BW: Tuple[float, float], ENOB: Tuple[float, float])
raise Exception("ENOB must be a tuple with accsending values like (8, 10)")

return self.db[
(self.db['fsnyq [Hz]'] >= BW[0])
& (self.db['fsnyq [Hz]'] < BW[1])
& (self.db['SNR [dB]'] >= enob_to_snr(ENOB[0]))
& (self.db['SNR [dB]'] < enob_to_snr(ENOB[1]))
(self.db["fsnyq [Hz]"] >= BW[0])
& (self.db["fsnyq [Hz]"] < BW[1])
& (self.db["SNR [dB]"] >= enob_to_snr(ENOB[0]))
& (self.db["SNR [dB]"] < enob_to_snr(ENOB[1]))
]

def _Murmann_style_data_and_legends(self, x, y, ax):
self.db[
(self.db['CONFERENCE'] == 'ISSCC') & (self.db['YEAR'] == self._current_year)
(self.db["CONFERENCE"] == "ISSCC") & (self.db["YEAR"] == self._current_year)
].plot.scatter(
x, y, label=f"ISSCC {self._current_year}", color='red', marker='s', ax=ax
x, y, label=f"ISSCC {self._current_year}", color="red", marker="s", ax=ax
)
self.db[
(self.db['CONFERENCE'] == 'VLSI') & (self.db['YEAR'] == self._current_year)
(self.db["CONFERENCE"] == "VLSI") & (self.db["YEAR"] == self._current_year)
].plot.scatter(
x, y, label=f"VLSI {self._current_year}", color='blue', marker='D', ax=ax
x, y, label=f"VLSI {self._current_year}", color="blue", marker="D", ax=ax
)
self.db[
(self.db['CONFERENCE'] == 'ISSCC') & (self.db['YEAR'] < self._current_year)
(self.db["CONFERENCE"] == "ISSCC") & (self.db["YEAR"] < self._current_year)
].plot.scatter(
x,
y,
label=f"ISSCC 1997-{self._current_year - 1}",
color='black',
marker='o',
color="black",
marker="o",
ax=ax,
)
self.db[
(self.db['CONFERENCE'] == 'VLSI') & (self.db['YEAR'] < self._current_year)
(self.db["CONFERENCE"] == "VLSI") & (self.db["YEAR"] < self._current_year)
].plot.scatter(
x,
y,
label=f"VLSI 1997-{self._current_year - 1}",
color='black',
marker='x',
color="black",
marker="x",
ax=ax,
)

Expand Down