Invited paper for WSA 2021, called 'Low Complexity Channel estimation with Neural Network Solutions'.
Low complexity residual convolutional neural network for channel estimation
Conpared with the ReEsNet from the repo Residual_CNN, it has slightly improved performance and the number of parameters is reduced by 82% (when pruning is not applied). I planed to release the code when I sorted out the files.
Neural network-based build time estimation for additive manufacturing Oh, Y., Sharp, M., Sprock, T., & Kwon, S. (2021). Neural network-based build tim
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising By Tengfei Liang, Yi Jin, Yidong Li, Tao Wang. Th
Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images This repository contains the implementation of the following paper
The Neural Process Family This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CN
merged_depth runs (1) AdaBins, (2) DiverseDepth, (3) MiDaS, (4) SGDepth, and (5) Monodepth2, and calculates a weighted-average per-pixel absolute dept
OpenGaze: Web Service for OpenFace Facial Behaviour Analysis Toolkit Overview OpenFace is a fantastic tool intended for computer vision and machine le
OpenFace 2.2.0: a facial behavior analysis toolkit Over the past few years, there has been an increased interest in automatic facial behavior analysis
This project provides abundant choices of quantization strategies (such as the quantization algorithms, training schedules and empirical tricks) for quantizing the deep neural networks into low-bit counterparts.
OnsagerNet Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks This is the original pyTorch implemenati
`% Pilot inserted [data_in_IFFT, data_location] = Pilot_Insert(Pilot_value_user, Pilot_starting_location, Pilot_interval, Pilot_location, Frame_size, Num_of_FFT, QPSK_signal); [data_for_channel, ~] = Pilot_Insert(1, Pilot_starting_location, Pilot_interval, kron((1 : Num_of_subcarriers)', ones(1, Num_of_pilot)), Frame_size, Num_of_FFT, (ones(Num_of_subcarriers, Num_of_symbols))); data_for_channel(1, :) = 1; % 第一行全部置1
% OFDM Transmitter
[Transmitted_signal, ~] = OFDM_Transmitter(data_in_IFFT, Num_of_FFT, length_of_CP);
[Transmitted_signal_for_channel, ~] = OFDM_Transmitter(data_for_channel, Num_of_FFT, length_of_CP);`
作者大大你好，有关Demonstration_of_H_regression_48_CommuRayleigh.m文件中这几行代码的问题。
请问Transmitted_signal_for_channel在整个系统流程中的作用是什么呢，data_for_channel是73×14列全为1的矩阵那为什么不直接用ones生成呢？
如果您有空的话，可以解答一些我的问题吗？万分感谢！另外，非常抱歉上次在微信的冒昧打扰。
R2RNet Official code of "R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network." Jiang Hai, Zhu Xuan, Ren Yang, Yutong Hao, Fengzhu
Noise Contrastive Estimation for pyTorch Overview This repository contains a re-implementation of the Noise Contrastive Estimation algorithm, implemen
HLA-Face: Joint High-Low Adaptation for Low Light Face Detection The official PyTorch implementation for HLA-Face: Joint High-Low Adaptation for Low L
scc4onnx Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the channel
AntroPy is a Python 3 package providing several time-efficient algorithms for computing the complexity of time-series. It can be used for example to e
Stochastic Positional Encoding (SPE) This is the source code repository for the ICML 2021 paper Relative Positional Encoding for Transformers with Lin
light-weight-depth-estimation Boosting Light-Weight Depth Estimation Via Knowledge Distillation, https://arxiv.org/abs/2105.06143 Junjie Hu, Chenyou F
MOS-Multi-Task-Face-Detect Introduction This repo is the official implementation of "MOS: A Low Latency and Lightweight Framework for Face Detection,
This repository provides the official implementation of "Robust channel-wise illumination estimation." accepted in BMVC (2021).
This is a model made out of Neural Network specifically a Convolutional Neural Network model. This was done with a pre-built dataset from the tensorflow and keras packages. There are other alternative libraries that can be used for this purpose, one of which is the PyTorch library.
1 Nov 15, 2021
115 Jan 5, 2023
9 Jul 30, 2022
892 Dec 28, 2022
39 Nov 21, 2022
4 Nov 3, 2022
5.8k Dec 31, 2022
51 Dec 10, 2022
3 Aug 24, 2022
77 Dec 24, 2022
42 Nov 24, 2022
77 Dec 8, 2022
16 Dec 22, 2022
153 Dec 27, 2022
48 Nov 16, 2022
13 Dec 10, 2022
104 Dec 8, 2022
4 Nov 8, 2022
9 Oct 18, 2022