Handy DSP routines
Helpful solution to reduce image size.
Different strategies for Downsampling: Downsampling is not just throwing a read
Technical audit of Automated Decision System for Fairness and Bias
Sliding window functions for processing iterative timeseries data in python.
image down-sampling technique using the Fast Fourier Transform (FFT) method in Python and MATLAB
Image processing projects I completed recently
The objective is to build various classification models, tune them and find the best one that will help identify failures so that the generator could be repaired before failing/breaking and the overall maintenance cost of the generators can be brought down.
Digital audio filtering
The given python code gives the data modeling and consists the following methods used: 1) Up sampling 2) Down sampling 3) Gridsearch for the selection of optimal combination of parameters 4) Application of Random Forest classifier 5) Dimensionality reduction using PCA
Simple sinc interpolation in PyTorch.
A PCM-Based Vocoder/Decoder, a voice codec software based on PCM of voice signals to send over data network, whose quantizer provides both mid-rise and mid-tread quantization techniques, and an encoder with both Manchester and AMI signaling, providing the concept of AWGN channel, in addition to regenerative repeaters.
Exploring texture image processing with the Kylberg Texture Dataset, this project involves preprocessing, learning-free classification, and a multilayer perceptron. Metrics evaluate performance and compare methods. It was part of my uOttawa Master's in Computer Vision (2023).
Red neuronal para sub-muestrear espacialmente imágenes. Proyecto realizado para la asignatura de Inteligencia Artificial en la Pontifica Universidad Javeriana.
Largest-Triangle-Three-Buckets algorithm for downsampling time-series data while retaining original shape including sharp inflections
PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.
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