lighting-zhu Goto Github PK

sscj

A spread spectrum communication system using Kasami Code, uses QPSK and BPSK and works on a imaginary 60GHz channel.

statistical-learning-method

李航-统计学习方法

statisticallearning_ustc

Statistical Learning course in USTC. 中科大统计学习（刘东）课程复习资料。

stochastic-recursive-extended-least-squreas-rels

This function is intended to estimate the parameters of a dynamic system of unknown parameters using the Recursive Extended Least Squares Method (RELS).

stsbl-fm

Fast Marginalized implementation of Spatio-Temporal Block Sparse Bayesian Learning Algorithm.

summer-review

:earth_asia: Review notes for Postgraduate Interview of Tsinghua EE. (Sept. 2017)

teq

Turbo Equalization of Serially Concatenated Turbo Codes using a Predictive-DFE based Receiver

testfile

tfg_carrier_synchronization

This repository contains the code I used to simulate the carrier synchronization algorithms of my Bachelor's Degree Final Project (TFG)

time-reversal-swipt-networks-with-an-active-eavesdropper-ser-energy-region-analysis

This is the Matlab source code to reproduce our IEEE VTC'16 conference paper, titled "Time Reversal SWIPT Networks with an Active Eavesdropper: SER-Energy Region Analysis"

time-series-analysis-tutorial

时间序列分析教程

timeseriesforecasting

基于统计学的时间序列预测(AR,ARM).

tmp

transferlearning-tutorial

《迁移学习简明手册》LaTex源码

turbo-equalization

The performance of turbo equalizers in both ISI channel and multipath fading channel is evaluated

turboae

Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019

turbocode

General Tutorial on Turbo Codes

turbocs

turboreceiver

twhd-algorithms

effectivness of algorithms for human through wall detection radars

uasn

Underwater acoustic sensor networks codes

udoppler-classification

Classification of Human Movement using mmWave FMCW Radar Micro-Doppler Signature

underwater-acoustic-ofdm-system-_deep-learning-for-channel-estimation

here wwe are using deep learning for estimmating channel in OFDM system used in underwater communications

underwater-acoustic-target-classification-based-on-dense-convolutional-neural-network

In oceanic remote sensing operations, underwater acoustic target recognition is always a difficult and extremely important task of sonar systems, especially in the condition of complex sound wave propagation characteristics. Expensively learning recognition model for big data analysis is typically an obstacle for most traditional machine learning

underwater-channel-estimation

Code for underwater channel estimation using 2-dimension frequencies characterization

underwater-communication

Firmware for the underwater communication module for the aquabots project

underwater-image-enhancement-algorithms

underwater-image-enhancement-by-wavelength-compensation-and-dehazing

ACQUIRING clear images in underwater environments is an important issue in ocean engineering. The quality of underwater images plays a pivotal role in scientific missions such as monitoring sea life, taking census of populations, and assessing geological or biological environments. Capturing images underwater is challenging, mostly due to haze caus

underwater-image-enhancement-using-clahe

underwater-impulsive-noise-models

The drawing board