chinmaysahu
Ph.D. with a research focus on Image Processing, Machine learning, deep learning algorithms applied to Biometrics
Thales DIS USA, Inc, Clarkson UniversityLos Angeles, CA
Pinned Repositories
deep-learning-based-projects
Projects such as Image classification using CNN, Object detection using YOLO algorithm, face recognition and verification, neural style transfer using RNN algorithm are included.
Error-analysis-in-wireless-sensor-network
Analyzed error propagation and its distribution in large sensor network using detection and estimation theory. Ran monte-carlo analysis to quantify errors in different localization algorithms in MATLAB.
LMS-itsVariants
Various adaptive signal processing algorithms such as LMS, Block LMS, FDAF, Levinson Durbin algorithms have been studied and implemented.
PerformanceAnalysisOfCommunicationSystems
In this project, binary communication schemes such as BPSK, OOK,QPSK are simulated in the presence of AWGN noise and the results are compared with theoretical values.
Projects-Based-on-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning
This repository contains my learnings from the course on Coursera.
Signal-Analysis-Synthesis-Using-the-DFT
This project presents a discrete Fourier transform (DFT) based audio compression technique. The audio signal is transformed using DFT and then compressed by selectively picking peaks.
SVMs-for-spam-classifier
In this project support vector machines (SVMs) is implemented to build a spam classifier.
TimeDifferenceOfArrival-Algorithm
This is a simple localisation algorithm. It incorporates time difference of arrival estimates to locate the target location.
TimeOfArrival-Algorithm
# TimeOfArrival-Algorithm
UnderwaterChannelModeling
Underwater channels are modeled and equalizers are designed to preserve the message bits from distortion. LMS, Levinsondurbin, Neural Network are used to model.
chinmaysahu's Repositories
chinmaysahu/UnderwaterChannelModeling
Underwater channels are modeled and equalizers are designed to preserve the message bits from distortion. LMS, Levinsondurbin, Neural Network are used to model.
chinmaysahu/Error-analysis-in-wireless-sensor-network
Analyzed error propagation and its distribution in large sensor network using detection and estimation theory. Ran monte-carlo analysis to quantify errors in different localization algorithms in MATLAB.
chinmaysahu/LMS-itsVariants
Various adaptive signal processing algorithms such as LMS, Block LMS, FDAF, Levinson Durbin algorithms have been studied and implemented.
chinmaysahu/deep-learning-based-projects
Projects such as Image classification using CNN, Object detection using YOLO algorithm, face recognition and verification, neural style transfer using RNN algorithm are included.
chinmaysahu/SVMs-for-spam-classifier
In this project support vector machines (SVMs) is implemented to build a spam classifier.
chinmaysahu/TimeDifferenceOfArrival-Algorithm
This is a simple localisation algorithm. It incorporates time difference of arrival estimates to locate the target location.
chinmaysahu/TimeOfArrival-Algorithm
# TimeOfArrival-Algorithm
chinmaysahu/Projects-Based-on-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning
This repository contains my learnings from the course on Coursera.
chinmaysahu/1-k-logisticRegressionVsNeuralNetworkForHandWrittenDigitRecognition
In this project, we implement one-vs-all logistic regression and neural networks to recognize hand-written digits.
chinmaysahu/Analysis-of-nonlinear-Langevin-Equation
A nonlinear Langevin equation has been considered to analyze the non-linearity of vibrating system under two different methods, i.e. numerical and exact methods for given initial conditions.
chinmaysahu/Anomaly-Detection-and-Recommender-Systems
An anomaly detection algorithm is implemented to detect failing servers on a network. Then a collaborative filtering algorithm is implemented to build a recommender system for movies.
chinmaysahu/chinmaysahu.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
chinmaysahu/ConvolutionalNeuralNetworksInTensorflow
This repository contains projects based on CNN implemented in tensorflow.
chinmaysahu/creditcard_fraud_detection
Credit card fraud detection
chinmaysahu/deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
chinmaysahu/GIQA
Pytorch implementation of Generated Image Quality Assessment
chinmaysahu/insightface
State-of-the-art 2D and 3D Face Analysis Project
chinmaysahu/Iris-Recognition
An Iris recognition system, implemented in Matlab and Python.
chinmaysahu/Iris-Recognition-PyTorch
An end-to-end Iris Recognition implementation using PyTorch
chinmaysahu/K-means-Clustering-and-Principal-Component-Analysis-For-Image-Compression
In this project K means clustering algorithm is implemented to compress an image.
chinmaysahu/linear-regression-with-one-variable-to-predict-profit
In this project A linear regression with one variable is implemented to predict profits for a food truck.
chinmaysahu/Logistic-Regression-to-predict-admission-probability-to-a-university
In this project- a logistic regression model is implemented to predict whether a student gets admitted into a university.
chinmaysahu/MSU-LatentAFIS
A system for identifying latent fingerprints. Created at Michigan State University by Anil K. Jain, Kai Cao, Dinh-Luan Nguyen, and Cori Tymoszek.
chinmaysahu/neural-manifold-dynamics
Reduced-order modelling using an atlas of charts
chinmaysahu/NeuralNetworksForHand-WrittenDigitRecognition
In this project, a backpropagation algorithm is implemented for neural networks and applied it to the task of hand-written digit recognition.
chinmaysahu/NLP_In_Tensorflow
chinmaysahu/ParameterEstimationOfKoshiRiverBasinRainFallData
Rainfall data collected over 1975-2010 are used to model MLE estimators for average rain fall and validated using CRLB.
chinmaysahu/ProcessControlBased_Projects
This repo contains few of my work from masters. It covers topic such as FOPTD model design, tuning using optimization, controller design and tuning for desired uses.
chinmaysahu/RegularizedLinearRegressionForWaterFlowPredictionInDam
In this project, a regularized linear regression is implemented to predict the amount of water owing out of a dam using the change of water level in a reservoir.
chinmaysahu/SignDetect
This project uses MobileNet+Global pooling+Dense model to detect sign from face value of image classes. Packages such as numpy, tensorflow, panda, keras are used.