|
model order reduction |
6 |
|
sigma-delta modulation |
5 |
|
sparse matrices |
5 |
|
time domain |
5 |
|
vector fitting |
5 |
|
3d autolabeler |
4 |
|
3d object detection |
4 |
|
bayesian inference |
4 |
|
cosimulation |
4 |
|
coupled simulation |
4 |
|
e-v formulation |
4 |
|
e-v framework |
4 |
|
electromagnetics |
4 |
|
em-tcad |
4 |
|
fiber coupling |
4 |
|
gan |
4 |
|
high frequency |
4 |
|
in-memory computing |
4 |
|
krylov subspace method |
4 |
|
low-rank approximation |
4 |
|
matrix exponential method |
4 |
|
matrix exponentials |
4 |
|
micro-light-emitting diode |
4 |
|
microdisplay |
4 |
|
multimodal vision |
4 |
|
multiphysics simulations |
4 |
|
negf |
4 |
|
neural networks |
4 |
|
newton's methods |
4 |
|
non-equilibrium transport |
4 |
|
oversampling |
4 |
|
self-attention |
4 |
|
self-supervision |
4 |
|
stiffness reduction |
4 |
|
tcad |
4 |
|
tensor |
4 |
|
transformer |
4 |
|
transient simulation |
4 |
|
adc |
3 |
|
application examples |
3 |
|
approximation |
3 |
|
binary |
3 |
|
clock frequencies |
3 |
|
computer hardware description languages |
3 |
|
descriptor system |
3 |
|
design methodology |
3 |
|
discrete fourier transform |
3 |
|
doping profiles |
3 |
|
engineering |
3 |
|
field programmable gate arrays (fpga) |
3 |
|
fpga |
3 |
|
frequency multiplying circuits |
3 |
|
geometrical variations |
3 |
|
high frequency (hf) |
3 |
|
high precision and low latency |
3 |
|
iir filter |
3 |
|
iir-filters |
3 |
|
interconnect |
3 |
|
kernel |
3 |
|
lo ewner matrix |
3 |
|
macromodeling |
3 |
|
material variation |
3 |
|
matrix decomposition |
3 |
|
matrix-format tangential interpolation (mfti) |
3 |
|
memory augmented |
3 |
|
model compression |
3 |
|
multiplier circuits |
3 |
|
neuromorphic sensors |
3 |
|
nonlinear simulation |
3 |
|
optimization |
3 |
|
optimized parameter |
3 |
|
parametric wavelengths |
3 |
|
phase locked loops |
3 |
|
phase shift |
3 |
|
power integrity |
3 |
|
power loss |
3 |
|
quadrature phase shift keying |
3 |
|
rough surface |
3 |
|
rram |
3 |
|
scalar-wave modeling (swm) |
3 |
|
signal integrity |
3 |
|
signal processing |
3 |
|
signal/power integrity |
3 |
|
spectral stochastic collocation |
3 |
|
state space,sampling |
3 |
|
tensor completion |
3 |
|
tensor decomposition |
3 |
|
tensor train |
3 |
|
tunabilities |
3 |
|
tutorial |
3 |
|
volterra series |
3 |
|
wavelength separation |
3 |
|
widefield quantum sensing |
3 |
|
zero-dispersion wavelength |
3 |
|
3d thermal model |
2 |
|
a-v solver |
2 |
|
adaptive frequency |
2 |
|
adaptive time step |
2 |
|
adder circuit |
2 |
|
algebraic riccati equation |
2 |
|
alternating direction implicit |
2 |
|
approximation algorithm |
2 |
|
approximation methods |
2 |
|
architecture designs |
2 |
|
arnoldi process |
2 |
|
automatic adaptive |
2 |
|
balanced stochastic truncation (bst) |
2 |
|
bandwidth |
2 |
|
better performance |
2 |
|
binary image restoration |
2 |
|
binary sequences |
2 |
|
block sizes |
2 |
|
boundary condition |
2 |
|
causality |
2 |
|
changing environment |
2 |
|
circuits and systems |
2 |
|
common sub-expression sharing |
2 |
|
common subexpression elimination |
2 |
|
communications |
2 |
|
complex filter |
2 |
|
comprehensive assessment |
2 |
|
computational architecture |
2 |
|
computer applications |
2 |
|
computer programming |
2 |
|
computer simulation |
2 |
|
convexification |
2 |
|
cpu time |
2 |
|
crank-nicolson (cn) |
2 |
|
cycle |
2 |
|
dc stability |
2 |
|
defocus |
2 |
|
deformable butterfly |
2 |
|
delta operator |
2 |
|
delta-sigma (δσ) modulator |
2 |
|
delta-sigma modulator |
2 |
|
dense matrices |
2 |
|
descriptor system (ds) |
2 |
|
descriptor systems |
2 |
|
design space exploration |
2 |
|
detection |
2 |
|
different time steps |
2 |
|
differential algebraic equations |
2 |
|
differential systems |
2 |
|
digital system identification |
2 |
|
direct-form |
2 |
|
discrete-time domain |
2 |
|
discrete-time vector fitting |
2 |
|
e-r methods |
2 |
|
e-v solver |
2 |
|
eigenvalue computation |
2 |
|
electric filters, digital. |
2 |
|
electrical engineering |
2 |
|
electromagnetic |
2 |
|
electromagnetic dispersion |
2 |
|
electronic systems |
2 |
|
electronics |
2 |
|
electronics engineering - electrical engineering |
2 |
|
embedding |
2 |
|
faces |
2 |
|
fast convergence |
2 |
|
fast transients |
2 |
|
fast transition |
2 |
|
feature interpretability analysis |
2 |
|
field-programmable gate array |
2 |
|
filter design |
2 |
|
finite difference scheme |
2 |
|
finite-impulse-response (fir) filters |
2 |
|
fixed point |
2 |
|
flexible simulation |
2 |
|
four-wave mixing (fwm) |
2 |
|
frequency assignment |
2 |
|
frequency warping |
2 |
|
gain bandwidth |
2 |
|
gain measurement |
2 |
|
generalized sylvester equations |
2 |
|
genetic algorithms |
2 |
|
geometric programming (gp) |
2 |
|
global maximum |
2 |
|
global optimization |
2 |
|
global stability |
2 |
|
heat conduction |
2 |
|
hierarchical constraints |
2 |
|
hierarchical current and power constraints |
2 |
|
hyperdimensional computing (hdc) |
2 |
|
id iir filter |
2 |
|
identification |
2 |
|
image interpretation, computer-assisted - methods |
2 |
|
image processing |
2 |
|
image reconstruction |
2 |
|
immittance representation |
2 |
|
impulse |
2 |
|
indirect methods |
2 |
|
individual pixel values |
2 |
|
infinite-impulse-response (iir) filters |
2 |
|
initial guess |
2 |
|
instability |
2 |
|
interconnect simulation |
2 |
|
introductory course |
2 |
|
inverse lithography |
2 |
|
krylov sub spaces |
2 |
|
krylov subspace |
2 |
|
layout patterns |
2 |
|
learning community |
2 |
|
level sets |
2 |
|
level-set |
2 |
|
light |
2 |
|
limit |
2 |
|
linear circuits |
2 |
|
linear matrix equation (lme) |
2 |
|
linear matrix inequality (lmi) |
2 |
|
linear time invariant (lti) system |
2 |
|
linear transform |
2 |
|
local binary pattern (lbp) |
2 |
|
local maximum |
2 |
|
manufactured materials - radiation effects |
2 |
|
maximum power point tracking |
2 |
|
memory storage |
2 |
|
mimo filter |
2 |
|
minimal signed digit |
2 |
|
minimization |
2 |
|
mixed-integer linear programming |
2 |
|
models, chemical |
2 |
|
modulators (electronics) |
2 |
|
moment |
2 |
|
multi-processor systems-on-chips |
2 |
|
multiple constant multiplication |
2 |
|
multiple constant multiplications |
2 |
|
multiplier circuit |
2 |
|
multiplierless alters |
2 |
|
mȯbius transformation (mt) |
2 |
|
neutral system |
2 |
|
newton method |
2 |
|
nonconvex optimization |
2 |
|
nonlinear circuit simulation |
2 |
|
nonlinear dynamical systems |
2 |
|
numerical example |
2 |
|
numerical results |
2 |
|
operating points |
2 |
|
optical amplifiers |
2 |
|
optical fibers |
2 |
|
optical parametric amplifier |
2 |
|
optical transfer function |
2 |
|
parallel processing |
2 |
|
parallel simulations |
2 |
|
parametric amplifier |
2 |
|
partial differential equation (pde) |
2 |
|
passivity enforcement |
2 |
|
perturb and observe |
2 |
|
phase measurement |
2 |
|
photochemistry - methods |
2 |
|
photography - methods |
2 |
|
photovoltaic systems |
2 |
|
poincaré map |
2 |
|
polynomial approximation |
2 |
|
polynomial programming |
2 |
|
positive semidefinite (psd) programming |
2 |
|
power conversion |
2 |
|
power grid |
2 |
|
priori information |
2 |
|
project oriented learning |
2 |
|
raman amplifier |
2 |
|
rank determination |
2 |
|
rational function |
2 |
|
rational function approximation |
2 |
|
rational functions |
2 |
|
recovery |
2 |
|
reduction |
2 |
|
regular system |
2 |
|
resistance extraction |
2 |
|
robustness (control systems) |
2 |
|
rough surface effects |
2 |
|
roundoff noise |
2 |
|
sar image |
2 |
|
scalp electroencephalogram (eeg) |
2 |
|
scattering representation |
2 |
|
seizure detection |
2 |
|
semiconductor |
2 |
|
sensitivity |
2 |
|
shadowed conditions |
2 |
|
sigma-delta (δσ) modulator |
2 |
|
signal processing - digital techniques. |
2 |
|
signomial programming |
2 |
|
signomial programming (sp) |
2 |
|
smith method |
2 |
|
sorting-deletion algorithm |
2 |
|
sparse |
2 |
|
sparse matrix-matrix multiplication |
2 |
|
speckle filters |
2 |
|
sr algorithm |
2 |
|
state space |
2 |
|
steady state |
2 |
|
steepest descent method (sdm) |
2 |
|
stiff systems |
2 |
|
submodular polyhedron |
2 |
|
surveillance applications |
2 |
|
symmetric systems |
2 |
|
system identification |
2 |
|
tensor train decomposition |
2 |
|
tensors |
2 |
|
time constants |
2 |
|
time delay |
2 |
|
time delay system (tds) |
2 |
|
time-domain circuits |
2 |
|
topology optimization |
2 |
|
tri-level sigma-delta modulation |
2 |
|
truncation error (tr) |
2 |
|
under-sampling |
2 |
|
ur digital filters |
2 |
|
vectorless power grid verification |
2 |
|
wave aberration |
2 |
|
wearable devices |
2 |
|
wireless sensor network designs |
2 |
|
worst-case voltage drop |
2 |
|
zernike polynomials |
2 |
|
δσ |
2 |
|
σδ |
2 |
|
8051 mcu |
1 |
|
adi |
1 |
|
alternating direction implicit (adi) |
1 |
|
analog-to-digital converter |
1 |
|
analog/rf circuits |
1 |
|
analytical modeling |
1 |
|
antenna modeling |
1 |
|
approximate solution |
1 |
|
artificial neural networks |
1 |
|
associated transform |
1 |
|
association of variables |
1 |
|
autonomous oscillator |
1 |
|
balanced truncation |
1 |
|
black box |
1 |
|
block-pulse |
1 |
|
bondwire |
1 |
|
boost |
1 |
|
buck |
1 |
|
buck-boost |
1 |
|
candecomp/parafac decomposition |
1 |
|
canonical projector |
1 |
|
circuit design |
1 |
|
classification |
1 |
|
clocks |
1 |
|
cmos bandgap |
1 |
|
cmos bandgap reference |
1 |
|
cmos technology |
1 |
|
cmos-reram accelerator |
1 |
|
common subexpression sharing |
1 |
|
compact dimensions |
1 |
|
complementary split-ring resonator |
1 |
|
complex interconnect tree |
1 |
|
composite right/left-handed structures |
1 |
|
computational costs |
1 |
|
computational methods |
1 |
|
convolutional neural network (cnn) |
1 |
|
convolutional neural networks |
1 |
|
covariance matrices |
1 |
|
cross-riccati equation (xre) |
1 |
|
current-mode |
1 |
|
curse of dimensionality |
1 |
|
dc analysis |
1 |
|
dc-dc switching converter |
1 |
|
debugger |
1 |
|
decomposition |
1 |
|
deep learning |
1 |
|
deep residual network |
1 |
|
delay circuit |
1 |
|
delay elements |
1 |
|
delta sigma |
1 |
|
design optimization |
1 |
|
digital integrated circuits |
1 |
|
dnn compression |
1 |
|
dominant eigenspace |
1 |
|
dynamic temperature |
1 |
|
dynamic temperature (dt) |
1 |
|
eigendecomposition |
1 |
|
electrical circuit |
1 |
|
electromagnetic structure |
1 |
|
electromigration (em) |
1 |
|
embedded system |
1 |
|
energy efficiency |
1 |
|
energy gap |
1 |
|
equivalent circuit model |
1 |
|
error prones |
1 |
|
fall detection |
1 |
|
feature extraction |
1 |
|
feedback controller |
1 |
|
finite element method |
1 |
|
fixed points |
1 |
|
fixed-point |
1 |
|
floating-point |
1 |
|
floorplanning |
1 |
|
frequency domains |
1 |
|
frequency sweeping |
1 |
|
full dense |
1 |
|
generalized algebraic riccati equations |
1 |
|
generalized hamiltonian |
1 |
|
generalized hamiltonian method (ghm) |
1 |
|
generalized symmetric tensors |
1 |
|
genetic algorithm |
1 |
|
geometric programming |
1 |
|
gradient |
1 |
|
gramian |
1 |
|
gramians |
1 |
|
gröbner bases |
1 |
|
h-matrix |
1 |
|
half-size ghm (hghm) |
1 |
|
hamiltonian methods |
1 |
|
hankel tensor |
1 |
|
hardware |
1 |
|
hardware software co-verification |
1 |
|
higher order harmonics |
1 |
|
hilbert-schmidt-hankel norm |
1 |
|
hosvd |
1 |
|
hpc |
1 |
|
humans and ai: human computation and crowdsourcing |
1 |
|
humans and ai: human-ai collaboration |
1 |
|
identification methods |
1 |
|
image classification |
1 |
|
image restoration |
1 |
|
inclusion method |
1 |
|
industrial power |
1 |
|
input systems |
1 |
|
integrated circuits |
1 |
|
inverse laplace transform |
1 |
|
joint-point features |
1 |
|
kalman filters |
1 |
|
kronecker product |
1 |
|
learning (artificial intelligence) |
1 |
|
learning systems |
1 |
|
least-squares |
1 |
|
linear/nonlinear models |
1 |
|
lmi relaxation |
1 |
|
logistic regression |
1 |
|
loop gain |
1 |
|
low dropout |
1 |
|
low power |
1 |
|
low voltage |
1 |
|
low-power |
1 |
|
low-rank tensor approximation |
1 |
|
lower cost |
1 |
|
mac |
1 |
|
macaulay matrix |
1 |
|
mathematical model |
1 |
|
matrix factorization |
1 |
|
matrix product operator |
1 |
|
matrix product operators |
1 |
|
matrix second-order linear system |
1 |
|
mera |
1 |
|
mimo |
1 |
|
mimo communication |
1 |
|
model order reduction (mor) |
1 |
|
model reduction |
1 |
|
modeling and simulation |
1 |
|
moment-matching |
1 |
|
multi-time partial differential equations |
1 |
|
multilayer perceptron (mlp) |
1 |
|
multiple-precision |
1 |
|
multiway arrays |
1 |
|
n-dimensional systems |
1 |
|
ngcc amplifier |
1 |
|
nonconvex polynomial optimization |
1 |
|
nonlinear circuit |
1 |
|
nonlinear equations |
1 |
|
nonlinear model order reduction |
1 |
|
nonlinear model order reduction (nmor) |
1 |
|
nonlinear system |
1 |
|
nonlinear system identification |
1 |
|
numerical buchberger–möller algorithm |
1 |
|
on chips |
1 |
|
orthogonal rank-1 terms |
1 |
|
parameter variations |
1 |
|
passivity |
1 |
|
passivity test |
1 |
|
pattern classification |
1 |
|
pe |
1 |
|
physical model |
1 |
|
piecewise-linear |
1 |
|
polynomial classifier |
1 |
|
polynomial dynamical systems |
1 |
|
pose estimation |
1 |
|
positive real |
1 |
|
positive-real balanced truncation (prbt) |
1 |
|
power |
1 |
|
process variation |
1 |
|
product quantization |
1 |
|
programmer |
1 |
|
projection |
1 |
|
random access memory |
1 |
|
randomized algorithm |
1 |
|
rank-1 |
1 |
|
recurrent neural nets |
1 |
|
reduced gröbner basis |
1 |
|
reducedorder model |
1 |
|
reinforcement learning |
1 |
|
repeater |
1 |
|
restricted boltzmann machines |
1 |
|
riccati equation |
1 |
|
s parameters |
1 |
|
s-parameter generalized hamiltonian method (s-ghm) |
1 |
|
s-parameter half-size ghm (s-hghm) |
1 |
|
schur decomposition |
1 |
|
sequence pair |
1 |
|
shape |
1 |
|
singular system |
1 |
|
singular value decomposition |
1 |
|
singular values |
1 |
|
source follower |
1 |
|
spatio-temporal model |
1 |
|
spectral projector |
1 |
|
split-ring resonator |
1 |
|
startup circuit |
1 |
|
steady-state analysis |
1 |
|
stochastic balanced truncation |
1 |
|
stress evolution |
1 |
|
structured sparse matrix |
1 |
|
structured tensors |
1 |
|
sub-1 v |
1 |
|
subspace methods |
1 |
|
sum–product network (sp) |
1 |
|
supervised learning |
1 |
|
support tensor machine |
1 |
|
support vector machine |
1 |
|
symmetric tensor |
1 |
|
system decomposition |
1 |
|
system passivity |
1 |
|
tensile stress |
1 |
|
tensor decompositions |
1 |
|
tensor train (tt) |
1 |
|
tensor-train decomposition |
1 |
|
tensors simulation |
1 |
|
thermal analysis |
1 |
|
time-delay systems |
1 |
|
time-dependent current |
1 |
|
time-invariant |
1 |
|
time-varying systems |
1 |
|
toeplitz tensor |
1 |
|
total variation |
1 |
|
trailing-edge modulation |
1 |
|
trained quantization |
1 |
|
training |
1 |
|
transform algorithm |
1 |
|
transistor circuits simulation |
1 |
|
trial function |
1 |
|
tucker decomposition |
1 |
|
uncertainty quantification |
1 |
|
video signal processing |
1 |
|
video surveillance |
1 |
|
voltage-mode |
1 |
