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achieving-crlb-in-sensor-network-estimation

Course Project for EE602: Statistical Signal Processing

aconvnet-pytorch

PyTorch implementation of Target Classification Using the Deep Convolutional Networks for SAR Images

acustic_ofdm

This project uses the speaker and the microphone of the computer to realize a complete acoustic OFDM communication system in the MATLAB environment. The system includes phase estimation, channel equalization, bits encoding and cyclic prefix. The main script transmits an example image and shows the received one. Some plots are automatically generated to evaluate the system performances.

auto_ks

Repository for "Fitting a Kalman Smoother to Data"

automatic-target-classification-in-sar-images-using-convolutional-neural-networks

SAR -> Synthetic Aperture Radar. This project is based on predicting the accuracy of the testing data set over the training data set using the MSTAR(Moving and Stationary Target Acquisition and Recognition) database and plotting the graph of the Results.csv file.

besselfunction

cnn-svm-classifier

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

cnn_visualization

Implementation of visualization techniques for CNN in Caffe (t-sne, DeconvNet, Image occlusions)

cramer-rao-lower-bound

crb_nc

one kind implement of Cramer-Rao Lower Bound

cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

cvi_using_dsi

Cluster Validity Index Using a Distance-based Separability Measure

data-complexity

Data Complexity Measures

dcol

The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.

demo_for_kalmanfilter

fusion algorithm(kf) with only ranging(UWB) and 6-axis imu sensor

dnn_fit_high_dim_function

a simple code using tensorflow to fit high dimensional function

ekf

An Extended Kalman Filter used for estimation and localization, including outlier detection mode and track simulation.

farm

graph-embeddding

Reimplementation of Graph Embedding methods by Pytorch.

graphlearning

Python package for graph-based clustering and semi-supervised learning

infrared-search-and-track

An infra-red search and track (IRST) system for small target detection in infrared images.

invariant-ekf

C++ library to implement invariant extended Kalman filtering for aided inertial navigation.

irt4ml

Code & Experiments associated to the Artificial Intelligence Journal paper

irt_parameter_estimation

Parameter estimation routines for logistic Item Characteristic Curves (ICC) from Item Response Theory (IRT)

kgd

A Python implementation of the KGD optimization algorithm and accompanying experiments.

kpca-matlab

MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).

libmtl

A PyTorch Library for Multi-Task Learning

lmnn_matlab

Matlab implementation of the large margin nearest neighbor algorithm

logisticregression

Logistic regression from scratch in Python

lte-ofdm-system

Simulates an entire Transmission, Channel and Receiver chain for LTE OFDM system in Matlab