Analysis and design of a recurrent neural network for real-time parameter estimation

2003 ◽  
Author(s):  
J. Wang ◽  
X. Feng
Keyword(s):  
Neural Network ◽  
Parameter Estimation ◽  
Real Time ◽  
Recurrent Neural Network ◽  
Time Parameter ◽  
Analysis And Design

An FPGA-Based Residual Recurrent Neural Network for Real-Time Video Super-Resolution

2021 ◽  
pp. 1-1
Author(s):  
Kaicong Sun ◽  
Maurice Koch ◽  
Zhe Wang ◽  
Slavisa Jovanovic ◽  
Hassan Rabah ◽  
...  
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Recurrent Neural Network ◽  
Super Resolution

Recurrent Neural Network for Aircraft Parameter Estimation

2021 ◽  
Author(s):  
Jaspreet Kaur ◽  
Hardik K. Mahajan ◽  
S. Singh ◽  
Sharbari Banerjee
Keyword(s):  
Neural Network ◽  
Parameter Estimation ◽  
Recurrent Neural Network

scholarly journals Sounderfeit: cloning a physical model using a conditional adversarial autoencoder

2018 ◽  
Vol 18 (1) ◽  
pp. 44-60 ◽  
Author(s):  
Stephen Sinclair
Keyword(s):  
Neural Network ◽  
Parameter Estimation ◽  
Real Time ◽  
Physical Model ◽  
Physical Modeling ◽  
Synthesis System ◽  
Bidirectional Relationship ◽  
Adversarial Training ◽  
Recorded Data

An adversarial autoencoder conditioned on known parameters of a physical modeling bowed string syn- thesizer is evaluated for use in parameter estimation and resynthesis tasks. Latent dimensions are provided to cap- ture variance not explained by the conditional parameters. Results are compared with and without the adversarial training, and a system capable of “copying” a given parameter-signal bidirectional relationship is examined. A real- -time synthesis system built on a generative, conditioned and regularized neural network is presented, allowing to construct engaging sound synthesizers based purely on recorded data. 

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