Indoor Human Walking Path Reconstruction from a FMWC Radar Signal
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Updated
Mar 13, 2020 - Python
Indoor Human Walking Path Reconstruction from a FMWC Radar Signal
The `KalmanFilter` class implements the Kalman Filter algorithm for estimating the state of linear dynamic systems using noisy measurements. The class accepts system matrices, initial state, and covariance, and provides `predict` and `update` methods for state prediction and refinement based on new observations.
ClearSpeak is a real-time audio transcription application using Google's Speech-to-Text API. It features a Tkinter-based GUI, filtering background noise, and providing clear speech transcription.
Filtering unwanted background noise from .wav files using different algorithms (Moving Average, Frequency Domain Filter and Spectral Subtraction)
Simple Python and Julia implementations of the 1€ Filter. The codes can be used as a pseudocode for implementing the algorithm in other languages.
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