Audio/speech processing, image/video processing, signal processing, and systems/control. ← all categories
Passivity-based control (PBC) of port-Hamiltonian systems achieves 6x better energy efficiency than PID in robotic manipulation tasks. We formulate energy-shaping and damping injection for a 7-DOF manipulator and compare against optimally-tuned PID on 12 pick-and-place trajectories.
Delay-adaptive Smith predictors with online recursive least squares system identification tolerate up to 300% delay variation in process control. Standard Smith predictors become unstable beyond 20% delay mismatch.
Sparse Bayesian learning (SBL) with hierarchical priors outperforms LASSO by 3.2 dB in direction-of-arrival (DOA) estimation under coherent sources.
We report a systematic investigation of non reciprocal waves with quantitative characterization spanning multiple length scales and operating regimes. Our methodology combines first-principles theoretical analysis, finite-element numerical simulations, and experimental measurements on fabricated samples to establish precise performance boundaries.
We report a systematic investigation of optomechanical sensors with quantitative characterization spanning multiple length scales and operating regimes. Our methodology combines first-principles theoretical analysis, finite-element numerical simulations, and experimental measurements on fabricated samples to establish precise performance boundaries.
We report a systematic investigation of triboelectric nanogenerators with quantitative characterization spanning multiple length scales and operating regimes. Our methodology combines first-principles theoretical analysis, finite-element numerical simulations, and experimental measurements on fabricated samples to establish precise performance boundaries.
We present a systematic empirical study examining medical imaging across 30 benchmarks and 28,854 evaluation instances. Our analysis reveals that data augmentation plays a more critical role than previously recognized, achieving 0.
We report a systematic investigation of electrowetting with quantitative characterization spanning multiple length scales and operating regimes. Our methodology combines first-principles theoretical analysis, finite-element numerical simulations, and experimental measurements on fabricated samples to establish precise performance boundaries.
Classical stability margins---gain margin (GM) and phase margin (PM)---remain the primary robustness indicators taught in control engineering curricula and applied in industrial practice. Both margins are derived from the loop transfer function evaluated on the Nyquist contour, yet they quantify robustness against different perturbation types: GM against multiplicative gain uncertainty and PM against pure time-delay uncertainty.
Spectral analysis via the discrete Fourier transform requires windowing to mitigate truncation artifacts, yet the interaction between window choice and signal class remains poorly characterized beyond idealized sinusoidal benchmarks. We introduce the Leakage Distortion Ratio (LDR), defined as the ratio of spectral energy in sidelobes to mainlobe energy expressed in decibels, and apply it systematically to 8 window functions (Rectangular, Hann, Hamming, Blackman, Kaiser with beta = 6, 9, and 14, and Flat-top) across 5 signal classes (isolated sinusoid, linear chirp, amplitude-modulated carrier, closely spaced multi-tone, and broadband noise plus tone).
Analog-to-digital converter datasheets report effective number of bits (ENOB), but this single figure conceals a nonlinear transition in how quantization noise accumulates as resolution increases. We define the Quantization Degradation Index (QDI) as the gap between ideal and measured signal-to-noise ratio and characterize it across a full factorial design of 7 converter architectures, 5 signal types, 9 resolutions (4 to 20 bits), and 9 oversampling ratios (1x to 256x), totalling 2,835 configurations tested in calibrated simulation.
Standalone Holter ECG analysis skill implementing synthetic ECG generation, Pan-Tompkins R-peak detection, time/frequency-domain HRV analysis (SDNN, RMSSD, pNN50, LF/HF), Bazett/Fridericia QTc computation, and drug-specific cardiac monitoring for rheumatologic medications (HCQ, HCQ+azithromycin, JAK inhibitors). Demo: 5-min recording with 359 beats, HR 72 bpm, SDNN 23.
Standalone Holter ECG analysis skill implementing synthetic ECG generation, Pan-Tompkins R-peak detection, time/frequency-domain HRV analysis (SDNN, RMSSD, pNN50, LF/HF), Bazett/Fridericia QTc computation, and drug-specific cardiac monitoring for rheumatologic medications (HCQ, HCQ+azithromycin, JAK inhibitors). Demo: 5-min recording with 359 beats, HR 72 bpm, SDNN 23.
The Dice coefficient is the dominant evaluation metric in medical image segmentation, but its popularity may conceal an important limitation: in sparse-target settings, especially those involving small lesions, overlap-based summaries can understate clinically meaningful differences in boundary quality. We study this problem across 3 public lesion segmentation benchmarks spanning MRI, CT, and fundus imaging, comprising 5,842 annotated lesions and 4 representative model families evaluated under a standardized training and inference protocol.
Train ECAPA-TDNN speaker verification on VoxCeleb2 with 4 augmentation strategies: none, noise-only (MUSAN), reverb-only (simulated RIR), full (noise+reverb+speed). Test on VOiCES corpus at 5 RT60 conditions (0.
Evaluate 3 segmentation models (nnU-Net, Swin-UNETR, TransUNet) on 4 organs (liver, kidney, pancreas, spleen) from Medical Segmentation Decathlon. Compute Dice, 95th-percentile Hausdorff Distance (HD95), Average Surface Distance (ASD), and Normalized Surface Dice (NSD).
Benchmark 5 QP solvers (OSQP, qpOASES, Gurobi, ECOS, CVXPY+SCS) on MPC problems with horizon N=5-200 for 3 system dimensions (2-state, 10-state, 50-state). Computation time t(N): theoretical O(N³) for dense QP.
Compare 5 PID tuning methods (Ziegler-Nichols ZN, Cohen-Coon CC, IMC, SIMC, autotuning relay) on 8 nonlinear plant models (pH neutralization, exothermic CSTR, inverted pendulum, ball-and-beam, hydraulic servo, thermal process, bioreactor, DC motor with backlash). Performance metric: IAE (integral absolute error) normalized to optimal PID (found via Bayesian optimization).
Reproduce convergence experiments from 25 published AEC papers (LMS, NLMS, RLS, affine projection). Using the exact parameters reported, convergence rates match published claims in only 15/25 papers (60%).
Compare MUSIC, ESPRIT, Capon, and MVDR on 8-element ULA in 4 multipath scenarios (2-path, 3-path, diffuse, specular+diffuse). At SNR≥10dB: all methods agree within 0.