This project uses a WiFi device to capture Channel State Information (CSI). It applies multipath mitigation and wavelet based denoising to filter out the environmental noises while trying to keep the CSI patterns only resulted from the finger gestures. The project then identifies the principal components of the CSI pattern for accurate gesture recognition. I have implemented most of the things already but stuck at identifying the principal components. I want you to help me to identify the principal components and also verify that the implemented parts are correct.
I have an MSEE specializing in DSP (time series, Speech, RF Modeling) and Image processing. I do my work in MATLAB.
Relevant Skills and Experience
MSEE
MATLAB
DSP
SPEECH
RF MODELING
IMAGE PROCESSING
Proposed Milestones
$25 USD - delivery
What is your project? Please chat me the details.
I am a phd student working on machine learning stuffs so i could help on that
Relevant Skills and Experience
matlab
machine learning/classification
feature extraction and selection
Proposed Milestones
$111 USD - necessary code and help
I am a phd student working on machine learning stuffs so i could help on that