scholarly journals Performance Analysis of Regular and Irregular LDPC Codes on SPIHT Coded Image Data

2020 ◽  
Vol 2 (2) ◽  
pp. 1-5
Author(s):  
Shahnas P
Keyword(s):  
Data Transmission ◽  
Image Data ◽  
Ldpc Codes ◽  
Ldpc Code ◽  
Performance Comparison ◽  
Image Coder ◽  
Overall Performance ◽  
Irregular Ldpc Codes ◽  
Channel Errors ◽  
Spiht Algorithm

The LDPC (Low Density Parity Check Code) has Shown interesting results for transmitting embedded bit streams over noisy communication channels. Performance comparison of regular and irregular LDPC codes with SPIHT coded image is done here. Different Error Sensitive classes of image data are obtained by using SPIHT algorithm as an image coder. Irregular LDPC codes map the more important class of data into a higher degree protection class to provide more protection. Different degree protection classes of an LDPC code improves the overall performance of data transmission against channel errors. Simulation results show the superiority of irregular LDPC over regular LDPC codes.

scholarly journals Performance Analysis for Cooperative Communication System with QC-LDPC Codes Constructed with Integer Sequences

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Yan Zhang ◽  
Feng-fan Yang ◽  
Weijun Song
Keyword(s):  
Cooperative Communication ◽  
Ldpc Codes ◽  
Ldpc Code ◽  
Parity Check ◽  
Integer Sequences ◽  
Excellent Performance ◽  
Array Codes ◽  
Integer Sequence ◽  
Overall Performance ◽  
Better Than

This paper presents four different integer sequences to construct quasi-cyclic low-density parity-check (QC-LDPC) codes with mathematical theory. The paper introduces the procedure of the coding principle and coding. Four different integer sequences constructing QC-LDPC code are compared with LDPC codes by using PEG algorithm, array codes, and the Mackey codes, respectively. Then, the integer sequence QC-LDPC codes are used in coded cooperative communication. Simulation results show that the integer sequence constructed QC-LDPC codes are effective, and overall performance is better than that of other types of LDPC codes in the coded cooperative communication. The performance of Dayan integer sequence constructed QC-LDPC is the most excellent performance.

A New Way to Optimize LDPC Code in Multiple Access Channel

2014 ◽  
Vol 989-994 ◽  
pp. 4095-4099
Author(s):  
Jing Xi Zhang
Keyword(s):  
Differential Evolution ◽  
Maximum Degree ◽  
Multiple Access ◽  
Ldpc Codes ◽  
Ldpc Code ◽  
Multiple Access Channel ◽  
Access Channel ◽  
Noise Threshold ◽  
Irregular Ldpc Codes ◽  
Combination Technology

A new way to optimize the degree profiles for irregular LDPC codes in MAC is presented. The combination technology of differential evolution and density evolution is applied in the optimizing of degree distributions. By using a greedy algorithm we show the differential evolution method to seek the maximum noise threshold in MAC channels under different degree number and maximum degree condition.

Performance Comparison between Turbo Code and Rate-Compatible LDPC Code for Evolved UTRA Downlink OFDM Radio Access

2009 ◽  
Vol E92-B (5) ◽  
pp. 1504-1515 ◽  
Author(s):  
Naoto OKUBO ◽  
Nobuhiko MIKI ◽  
Yoshihisa KISHIYAMA ◽  
Kenichi HIGUCHI ◽  
Mamoru SAWAHASHI
Keyword(s):  
Turbo Code ◽  
Ldpc Code ◽  
Performance Comparison ◽  
Radio Access

scholarly journals Performance of Polar-Coded 3D Image Transmission over Fading Channel

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jianjun Hao ◽  
Luyao Liu ◽  
Wei Chen
Keyword(s):  
White Noise ◽  
Data Transmission ◽  
Fading Channel ◽  
Point Cloud ◽  
Gaussian White Noise ◽  
Image Data ◽  
Image Transmission ◽  
Transmission System ◽  
3D Point Cloud ◽  
3D Image

Any signal transmitted over an air-to-ground channel is corrupted by fading, noise, and interference. In this paper, a Polar-coded 3D point cloud image transmission system with fading channel is modeled, and also the simulation is performed to verify its performance in terms of 3D point cloud image data transmission over Rician channel with Gaussian white noise and overlap of Gaussian white noise + periodic pulse jamming separately. The comparison of Polar-coded scheme with RS-coded scheme in the same scenario indicates that Polar-coded system gives far better performance against AWGN noise and fading than the RS-coded system does in the case of short block length. But RS-coded scheme shows better performance on antipulse jamming than that of Polar-coded scheme, while there is no interleaving between codewords.

scholarly journals Recognition of mango leaf disease using convolutional neural network models: a transfer learning approach

2021 ◽  
Vol 23 (3) ◽  
pp. 1681
Author(s):  
Aditya Rajbongshi ◽  
Thaharim Khan ◽  
Md. Mahbubur Rahman ◽  
Anik Pramanik ◽  
Shah Md Tanvir Siddiquee ◽  
...  
Keyword(s):  
Transfer Learning ◽  
Image Data ◽  
Network Models ◽  
Plant Diseases ◽  
Prevention Measures ◽  
Neural Network Models ◽  
Data Set ◽  
Learning Techniques ◽  
Overall Performance ◽  
Mango Leaves

<p>The acknowledgment of plant diseases assumes an indispensable part in taking infectious prevention measures to improve the quality and amount of harvest yield. Mechanization of plant diseases is a lot advantageous as it decreases the checking work in an enormous cultivated area where mango is planted to a huge extend. Leaves being the food hotspot for plants, the early and precise recognition of leaf diseases is significant. This work focused on grouping and distinguishing the diseases of mango leaves through the process of CNN. DenseNet201, InceptionResNetV2, InceptionV3, ResNet50, ResNet152V2, and Xception all these models of CNN with transfer learning techniques are used here for getting better accuracy from the targeted data set. Image acquisition, image segmentation, and features extraction are the steps involved in disease detection. Different kinds of leaf diseases which are considered as the class for this work such as anthracnose, gall machi, powdery mildew, red rust are used in the dataset consisting of 1500 images of diseased and also healthy mango leaves image data another class is also added in the dataset. We have also evaluated the overall performance matrices and found that the DenseNet201 outperforms by obtaining the highest accuracy as 98.00% than other models.</p>

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