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naveenjoseph869's Projects
2srnn
Domain Adaption for sEMG-based Gesture Recognition with Recurrent Neural Networks
awesome-matlab-students
A list of helpful resources for students learning MATLAB & Simulink. List includes tips & tricks, tutorials, videos, cheat sheets, and opportunities to learn MATLAB & Simulink .
cnn-bilstm-attention-time-series-prediction_keras
CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
controller-design---pid-h_2-and-h_infinity
Lateral Control of Autonomous Vehicles. Designed PID, 𝐻2 and 𝐻∞ controllers and trade offs in design were studied upon for real-time implementation.
convolutionaneuralnetworkstoenhancecodedspeech
In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions. The proposed postprocessor improves speech quality (PESQ) by up to 0.25 MOS-LQO points for G.711, 0.30 points for G.726, 0.82 points for G.722, and 0.26 points for adaptive multirate wideband codec (AMR-WB). In a subjective CCR listening test, the proposed postprocessor on G.711-coded speech exceeds the speech quality of an ITU-T-standardized postfilter by 0.36 CMOS points, and obtains a clear preference of 1.77 CMOS points compared to G.711, even en par with uncoded speech.
deep-residual-shrinkage-networks
The deep residual shrinkage network is a variant of deep residual networks.
kpirl-kla
This repository contains two new algorithms: KPIRL and KLA. KPIRL is a non-linear extension to Abbeel and Ng's Projection IRL algorithm (detailed in "Apprenticeship Learning via Inverse Reinforcement Learning"). KLA is an approximate RL algorithm designed to be used with KPIRL in large state-action spaces without any reward shaping. The algorithms
mathworks-excellence-in-innovation
Capstone and senior design project ideas for undergraduate and graduate students to gain practical experience and insight into technology trends and industry directions.
mpc-spring-mass-example
MPC for spring mass example
mpc-tutorial
This is the MATLAB code for a brief tutorial for Model Predictive Control (MPC) for a linear discrete-time system with constrained states and inputs.
tensorflow-examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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