Dibyojyoti Bhattacharjee Spidy104

😄

Just Fell in love with Programming

Building pipelines, decoding Building mysteries If it compiles, it ships

Spidy104/README.md

Dibyojyoti Bhattacharjee

I work with signals: sound, images, biosignals, anything that carries information through noise.

Audio and acoustics: classification, adaptive filtering, music
Image processing and vision: segmentation, morphology, biomedical imaging
Statistical and adaptive signal processing: estimation, detection, filtering under noise
Time-series and biosignals: EEG, ECG, heart sounds
Machine learning on all of the above


MATLAB	prototyping an idea fast
Python	ML, analysis, glue
C / C++	real-time DSP
Julia	numerics without the two-language problem
Zig	low-level work, for the fun of it

signal = information + noise
me     = denoise(signal)   # still working on this one

PPG_DIABETES_CLASSIFICATION PPG_DIABETES_CLASSIFICATION Public

This repository provides a complete pipeline for non-invasive blood glucose estimation using Photoplethysmography (PPG) signals. It includes data preprocessing, feature extraction, machine learning…

Jupyter Notebook 9 1
ThinkDSP.jl ThinkDSP.jl Public

Signals, spectra, filters and audio in Julia. Based on Allen Downey's Think DSP.

Julia 7
radixz radixz Public

Power-of-two FFT and FIR convolution in Zig. No allocations.

Zig 1
remez remez Public

Parks-McClellan (Remez exchange) FIR filter design in C++20: all four linear-phase types, multiband, differentiators, Hz/dB specs

C++
robust_pca_video robust_pca_video Public

Robust PCA (batch and online) for video background separation in Julia, evaluated on CDnet 2014

Julia
svd_from_scratch svd_from_scratch Public

From-scratch Julia and C23 SVD, randomized SVD, MIMO, and image compression benchmarks

Julia

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