Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
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Updated
Feb 17, 2022 - MATLAB
Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
Channel Estimation for MIMO OFDM Systems (LSE& MMSE)
This repo contains simulation code for DI-S-MMSE Turbo Equalizer and LMMSE Equalizer applied to OTFS Modulation.
Training Deep AutoEncoders for Collaborative Filtering
Code for "Impact Analysis of Antenna Array Geometry on Performance of Semi-blind Structured Channel Estimation for massive MIMO-OFDM systems", IEEE SSP, Hanoi, Vietnam, Jul. 2023
This repo contains the scripts that are used to model and optimize an optical receiver.
Computationally efficient equalization implementation for known channel. The equalizer works in the frequency domain.
This approach is based upon a minimum mean-square error (MMSE) formulation in which the pulse compression filter for each individual range cell is adaptively estimated from the received signal in order to mitigate the masking interference resulting from matched filtering in the vicinity of large targets.
A minimum-mean-square-error noise reduction algorithm implementation with Python
Code for "Learning MMSE Filters for OFDM Channel Estimation: Attention Transformer Gains at Linear Inference" (A-MMSE, RA-A-MMSE)
Real-time Go audio processing library for speech noise suppression, featuring STFT, MCRA, MMSE, filtering, and VoIP-focused DSP
A simple code to understand polynomial regression for curve fitting
Project includes Mini-Mental State Examination test and clock-drawing test which are applied for seeking symptoms of dementia and its kind.
UC3M "Técnicas Avanzadas de Tratamiento de Señal y Comunicaciones" Lab Project
Systematic Cognitive Observation And Recognition Engine:- An intuitive Mini Mental State Examination for Patients with cognitive disorders
Streamlit educational prototype for anonymous preliminary mental health and cognitive screening with chatbot interview, BC-QoL, MMSE-style assessment, emotion summary, PDF report, and research feedback capture.
PyPI package for quantized channel estimation with Bussgang-based estimators and complex-valued generative priors.
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