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radardetection

微波探测项目代码

realworld-underwater-image-enhancement-ruie-benchmark

Paper “Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions” https://arxiv.org/abs/1901.05320

recursive-least-squares-with-exponential-forgetting

This function is intended to estimate the parameters of a dynamic system of unknown time varying parameters using the Recursive Least Squares with Exponential Forgetting Method (RLS).

reproducible-deep-compressive-sensing

Collection of reproducible deep learning for compressive sensing

reweighted-block-sparsity-regularization-for-remote-sensing-images-destriping

code for Reweighted Block Sparsity Regularization for Remote Sensing Images Destriping

rl4net

RL4Net Simulator - A simulator of reinforcement learning algorithm research for networking

rl4net-pa

PowerAllocation using Reinforcement Learning

rls-system-identification

A project on using Recursive Least Square for identification of a dynamical system

robust-nonnegative-least-mean-square-algorithm-based-on-step-size-scaler-against-impulsive-noise

In the project, file data2.m and file data4.m are the experimentally generated data files, and file RNNLMS.m and file IPRNNLMS.m is the two proposed algorithm programs.

rop

The Code is created for dehaze, sand dust image and underwater image enhancement.

routing-algorithms-for-energy-efficiency-in-underwater-wireless-sensor-networks

s-fm-hsdm

Matlab code for the numerical tests of the paper: K. Slavakis. "The stochastic Fejér-monotone hybrid steepest descent method and the hierarchical RLS." IEEE Transactions on Signal Processing, vol. 67, no. 11, pp. 2868-2883, June 2019. (DOI: https://doi.org/10.1109/TSP.2019.2907257)

sanba-mmwave-sdr

This repository contains the source codes for Side-information-Aided Beam Alignment (SANBA) algorithm for MmWave systems. Both numerical simulation and experimental results are included. The work is accepted by ACM MobiHoc '19

sc-fde-phase-noise-compensation

my graduate project about compensating phase noise in SC-FDE systems. Use MATLAB for simulation.

scma

SCMA BER simulation

score-based-channels

Source code for paper "Score-Based Generative Models for Robust Channel Estimation", accepted for publication at WCNC 2022.

semi-blind-bigamp

semidefinite-programming-sdp-optimization

Codes for paper "Semidefinite Programming for NLOS Error Mitigation in TDOA Localization"

sequential-rnn-decoder

Sequential RNN Decoder Code for 'Communication Algorithms via Deep Learning' ICLR paper

series2image

Encoding time series as images using GAF operation by pyts.

simple_siso_ofdm

Simulate SISO OFDM with BPSK demodulation

slms_snlms

MATLAB implementation of Sparsity-promoting Least Mean Square (SLMS) and Normalized Least Mean Square (SNLMS) adaptive filters for system identification.

sparse-adaptive-filter

Adaptive algorithm based on the different polynomial update rules for different ranges of filter weights.

sparse-evolutionary-artificial-neural-networks

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

sparse_autoencoder

Implementing sparse autoencoder for MNIST data classification using keras and tensorflow

sparse_fir_equalizer

Sparse FIR equalizer based on orthogonal matching pursuit

sparsechannelestimation

sparsenc

A library for encoding and decoding sparse network codes

spls

Sparse Partial Least Squares method using L1 and L2 norm constraints

src-rls

MATLAB code of the paper "Sparse Representation and Least Squares-Based Classification in Face Recognition", EUSIPCO 2014