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2020 – today
- 2024
[j5]Luis G. Varela, Laura E. Boucheron, Steven Sandoval, David Voelz, Abu Bucker Siddik:
Estimation of motion blur kernel parameters using regression convolutional neural networks. J. Electronic Imaging 33(2) (2024)- [c15]Brandon Gresham, Josh Blowers, Steven Sandoval, Wei Tang:
Event - Driven Predictive Sampling Circuits for Speech Signal Sensing and Processing. MWSCAS 2024: 99-103 - [c14]Mamta Dalal, Steven Sandoval, Joshua Blowers:
Rotor-Based Convolution for Vector-Valued Signals. MWSCAS 2024: 847-851 - 2023
- [c13]Leonardo Escamilla, Luis Rodolfo García Carrillo
, Steven Sandoval, Eduardo Steed Espinoza Quesada:
Stabilization and trajectory tracking of a subactuated aircraft based on a Geometric Algebra approach. ACC 2023: 3233-3238 - [c12]Sasha Smith, Steven Sandoval, Tanner Schaub, Phillip L. De Leon:
Practical Implementation of Instantaneous Frequency Mass Spectrometry. MWSCAS 2023: 303-307 - 2022
- [j4]Steven Sandoval, Phillip L. De Leon:
Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum. Entropy 24(4): 518 (2022) - [j3]Steven Sandoval, Hasan Alshammari, Mamta Dalal:
ISA.jl: Instantaneous spectral analysis in Julia. SoftwareX 20: 101239 (2022) - [c11]M. S. Arun Sankar, Phillip L. De Leon, Steven Sandoval, Utz Roedig:
Low-Complexity Speech Spoofing Detection using Instantaneous Spectral Features. IWSSIP 2022: 1-4 - 2020
- [c10]Steven Sandoval, Matthew Bredin, Phillip L. De Leon, Susana Terrazas:
Controlling the Operational Behavior of Complex Empirical Mode Decomposition. MWSCAS 2020: 860-863
2010 – 2019
- 2018
- [j2]Steven Sandoval, Phillip L. De Leon:
The Instantaneous Spectrum: A General Framework for Time-Frequency Analysis. IEEE Trans. Signal Process. 66(21): 5679-5693 (2018) - [c9]Steven Sandoval, Matthew Bredin, Phillip L. De Leon:
Dominant Component Tracking for Empirical Mode Decomposition using A Hidden Markov Model. GlobalSIP 2018: 116-120 - [c8]Steven Sandoval, Matthew Bredin, Phillip L. De Leon:
Using Linear Prediction to Mitigate End Effects in Empirical Mode Decomposition. GlobalSIP 2018: 281-285 - 2017
- [c7]Steven Sandoval, Phillip L. De Leon:
Advances in Empirical Mode Decomposition for computing Instantaneous Amplitudes and Instantaneous Frequencies. ICASSP 2017: 4311-4315 - 2015
- [c6]Steven Sandoval, Phillip L. De Leon, Julie M. Liss:
Hilbert spectral analysis of vowels using intrinsic mode functions. ASRU 2015: 569-575 - 2014
- [c5]Visar Berisha, Julie Liss, Steven Sandoval, Rene Utianski, Andreas Spanias:
Modeling pathological speech perception from data with similarity labels. ICASSP 2014: 915-919 - 2013
- [b1]Visar Berisha, Steven Sandoval, Julie Liss:
Bandwidth Extension of Speech Using Perceptual Criteria. Synthesis Lectures on Algorithms and Software in Engineering, Morgan & Claypool Publishers 2013, ISBN 9781627053136, pp. 1-83 - [c4]Visar Berisha, Steven Sandoval, Rene Utianski, Julie Liss, Andreas Spanias:
Selecting disorder-specific features for speech pathology fingerprinting. ICASSP 2013: 7562-7566 - 2012
- [j1]Laura E. Boucheron, Phillip L. De Leon, Steven Sandoval:
Low Bit-Rate Speech Coding Through Quantization of Mel-Frequency Cepstral Coefficients. IEEE Trans. Speech Audio Process. 20(2): 610-619 (2012) - 2011
- [c3]Laura E. Boucheron, Phillip L. De Leon, Steven Sandoval:
Hybrid Scalar/Vector Quantization of Mel-Frequency Cepstral Coefficients for Low Bit-Rate Coding of Speech. DCC 2011: 103-112
2000 – 2009
- 2005
- [c2]Adrian Stoica, Didier Keymeulen, Ambrus Csaszar, Quan Gan, Timothy Hidalgo, Jeff Moore, Jason Newton, Steven Sandoval, Jiajing Xu:
Humanoids for lunar and planetary surface operations. Humanoids 2005: 345-350 - [c1]Adrian Stoica, Didier Keymeulen, Ambrus Csaszar, Quan Gan, Timothy Hidalgo, Jeff Moore, Jason Newton, Steven Sandoval, Jiajing Xu:
Humanoids for lunar and planetary surface operations. SMC 2005: 2649-2654
Coauthor Index
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