Pinned Repositories
ECG-compression
Dynamic ECG monitoring will produce a lot of data, and ECG compression becomes very important with the increasing of sampling frequency and resolution. I present ECG compression and reconstruction algorithm with high compression ratio and low loss. The filter module consists of a low-pass filter, a trap filter and a median filter, which filters out the main noise in the ECG signal. The eighth-order low pass Butterworth filter is used to filter out the EMG interference with a cut-off frequency of 75hz. The sixth-order Band Butterworth filter is used to filter out the power interference with lower limit and upper limit of 49 Hz and 51 Hz respectively. The bipolar median filter is used to correct the drift of breathing.
Image-Classification-Using-SVM
This application uses LIBSVM and PIL to perform image classification on a set of images.
inception-score-pytorch
Inception Score for GANs in Pytorch
inception_mode_score_pytorch
Machine-Learning-and-Pattern-Recognition
Implementation of Machine Learning Algorithms
matlab-mnist-two-layer-perceptron
A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.
SupportVectorMachine
SVM for Image classification
tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
Wisconsin-Breast-Cancer-ML
Breast cancer diagnosis using ensemble learning methods
BitTutu's Repositories
BitTutu/ECG-compression
Dynamic ECG monitoring will produce a lot of data, and ECG compression becomes very important with the increasing of sampling frequency and resolution. I present ECG compression and reconstruction algorithm with high compression ratio and low loss. The filter module consists of a low-pass filter, a trap filter and a median filter, which filters out the main noise in the ECG signal. The eighth-order low pass Butterworth filter is used to filter out the EMG interference with a cut-off frequency of 75hz. The sixth-order Band Butterworth filter is used to filter out the power interference with lower limit and upper limit of 49 Hz and 51 Hz respectively. The bipolar median filter is used to correct the drift of breathing.
BitTutu/Image-Classification-Using-SVM
This application uses LIBSVM and PIL to perform image classification on a set of images.
BitTutu/inception-score-pytorch
Inception Score for GANs in Pytorch
BitTutu/inception_mode_score_pytorch
BitTutu/Machine-Learning-and-Pattern-Recognition
Implementation of Machine Learning Algorithms
BitTutu/matlab-mnist-two-layer-perceptron
A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.
BitTutu/SupportVectorMachine
SVM for Image classification
BitTutu/tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
BitTutu/Wisconsin-Breast-Cancer-ML
Breast cancer diagnosis using ensemble learning methods