Results 271 to 280 of about 23,265,687 (345)

USER-SMILE: Ultrafast Stimulus Error Removal and Segmented Model Identification of Linearity Errors for ADC Built-in Self-Test

IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2018
Linearity testing of analog-to-digital converters (ADCs) is very challenging and expensive due to the stringent linearity requirement on the stimulus and the extremely long test time. This paper introduces a novel method for ADC static linearity testing,
Tao Chen, X. Jin, R. Geiger, Degang Chen
semanticscholar   +1 more source

Comparison of Ground-Shaking Hazard for Segmented versus Multifault Earthquake-Rupture Models in Aotearoa New Zealand

Seismological Research Letters, 2023
Multifault ruptures are common for historical earthquakes, and here we consider their impact on seismic hazard. We compare ground-shaking hazard forecasts from the 2022 Aotearoa New Zealand National Seismic Hazard Model (NZ NSHM 2022), which ...
A. Howell, A. Nicol, Sanjay S. Bora, Matthew C. Gerstenberger, Russell J. Van Dissen, Chris Chamberlain, Christopher J. DiCaprio, Chris Rollins, Mark W. Stirling, Oakley Jurgens, Bruce E. Shaw   +10 more
semanticscholar   +1 more source

A Non-Segmented PSpice Model of SiC mosfet With Temperature-Dependent Parameters

IEEE transactions on power electronics, 2019
A non-segmented PSpice model of silicon carbide metal-oxide semiconductor field effect transistor (SiC mosfet) with temperature-dependent parameters is proposed in this paper, which can improve the model's convergence and temperature characteristics. The
Hong Li, Xingran Zhao, K. Sun, Zhengming Zhao, Guoen Cao, T. Zheng   +5 more
semanticscholar   +1 more source

Segmental Modeling for Audio Segmentation

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007
Trainable speech/non-speech segmentation and music detection algorithms usually consist of a frame based scoring phase combined with a smoothing phase. This paper suggests a framework in which both phases are explicitly unified in a segment based classifier.
openaire   +1 more source

Markov models of genome segmentation

Physical Review E, 2007
We introduce Markov models for segmentation of symbolic sequences, extending a segmentation procedure based on the Jensen-Shannon divergence that has been introduced earlier. Higher-order Markov models are more sensitive to the details of local patterns and in application to genome analysis, this makes it possible to segment a sequence at positions ...
Vivek, Thakur, Rajeev K, Azad, Ram, Ramaswamy   +2 more
openaire   +2 more sources

Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Neural Information Processing Systems
Recently, a series of diffusion-aware distillation algorithms have emerged to alleviate the computational overhead associated with the multi-step inference process of Diffusion Models (DMs).
Yuxi Ren, Xin Xia, Yanzuo Lu, Jiacheng Zhang, Jie Wu, Pan Xie, Xing Wang, Xuefeng Xiao   +7 more
semanticscholar   +1 more source

DETERMINATION OF WAVE SLAMMING LOADS ON HIGH-SPEED CATAMARANS BY HYDROELASTIC SEGMENTED MODEL EXPERIMENTS

International Journal of Maritime Engineering, 2011
A 2.5m hydroelastic segmented catamaran model has been developed based on the 112m INCAT wave-piercer catamaran to simulate the vibration response during the measurement of dynamic slam loads in head seas. Towing tank tests were performed in regular seas
J. Lavroff, Davis, D. Holloway, G. Thomas   +3 more
semanticscholar   +1 more source

Modeling Developmental Segmentation

Science's STKE, 2007
One of the classic problems in embryology is the segmentation of the body plan. In vertebrates, this process is underpinned by a multicellular oscillatory genetic network. Riedel-Kruse et al . modeled this complex "segmentation clock" as a population of simple, coupled oscillators in the presence of noise and ...
openaire   +2 more sources

Inference on Segmented Polynomial Models

Biometrics, 1996
Summary: Segmented polynomial regression models with unknown change-points are used in a wide variety of biological settings. The application that stimulated this work uses a segmented polynomial model to examine the optimal hematocrit hypothesis. We discuss problems in the fitting of these models and compare, by simulation, two methods of inference in
Zhan, M., Dean, C. B., Routledge, R., Gallaugher, P., Farrell, A. P., Thorarensen, H.   +5 more
openaire   +2 more sources

Model-based segmentation of nuclei

Pattern Recognition, 2000
A new approach for segmentation of nuclei observed with an epi-fluorescence microscope is presented. The technique is model based and uses local feature activities such as step-edge segments, roof-edge segments, and concave corners to construct a set of initial hypotheses.
null Ge Cong, B. Parvin
openaire   +1 more source