scholarly journals Data transmission with variable-redundancy error control over a high-frequency channel

1975 ◽  
Vol 122 (2) ◽  
pp. 113 ◽  
Author(s):  
R.M.F. Goodman ◽  
P.G. Farrell
Keyword(s):  
Data Transmission ◽  
High Frequency ◽  
Error Control ◽  
Frequency Channel

Comparison of NRZ and 4-PAM Coding for High-Speed VLSI Data Transmission

2015 ◽  
Vol 643 ◽  
pp. 141-147
Author(s):  
Yasushi Yuminaka ◽  
Yuuki Takada
Keyword(s):  
Data Transmission ◽  
High Frequency ◽  
High Speed ◽  
Strip Line ◽  
Frequency Channel ◽  
Test Board ◽  
Crucial Problem ◽  
Vlsi System ◽  
High Speed Data ◽  
Speed Data Transmission

As the Required Data Rate for VLSI System Communication Increases, Channel Bandwidthlimitation Becomes a Crucial Problem as High-Frequency Channel Loss Degrades the Transmission Performance.In this Paper, we Compare Non-Return-to-Zero (NRZ) Binary and 4-PAM (pulse Amplitudemodulation) Coding Techniques for High-Speed Data Transmission by Fabricating a Test Board of a Microstripline. by Extracting the Micro-Strip Line Parameters, we Carry out Co-Simulations to Evaluate Spectrallyefficient Coding for High-Speed Data Transmission.We Consider the Conditions for which 4-Pamsignaling Provides an Advantage over NRZ Signaling from the Viewpoint of Channel Profiles.

scholarly journals Image compression based on classification coding of constant-pitched functions transformers

2021 ◽  
pp. 48-62
Author(s):  
Vladimir Barannik ◽  
Andrii Krasnorutsky ◽  
Sergii Shulgin ◽  
Valerii Yeroshenko ◽  
Yevhenii Sidchenko ◽  
...  
Keyword(s):  
Image Compression ◽  
Data Transmission ◽  
High Frequency ◽  
Orthogonal Transformation ◽  
Low Frequency ◽  
Information Delivery ◽  
Video Data ◽  
Arithmetic Coding ◽  
Video Images ◽  
Frequency Components

The subject of research in the article are the processes of video image processing using an orthogonal transformation for data transmission in information and telecommunication networks. The aim is to build a method of compression of video images while maintaining the efficiency of its delivery at a given informative probability. That will allow to provide a gain in the time of delivery of compressed video images, a necessary level of availability and authenticity at transfer of video data with preservation of strictly statistical regulations and the controlled loss of quality. Task: to study the known algorithms for selective processing of static video at the stage of approximation and statistical coding of the data based on JPEG-platform. The methods used are algorithm based on JPEG-platform, methods of approximation by orthogonal transformation of information blocks, arithmetic coding. It is a solution of scientific task-developed methods for reducing the computational complexity of transformations (compression and decompression) of static video images in the equipment for processing visual information signals, which will increase the efficiency of information delivery.The following results were obtained. The method of video image compression with preservation of the efficiency of its delivery at the set informative probability is developed. That will allow to fulfill the set requirements at the preservation of structural-statistical economy, providing a gain in time to bring compressed images based on the developed method, relative to known methods, on average up to 2 times. This gain is because with a slight difference in the compression ratio of highly saturated images compared to the JPEG-2000 method, for the developed method, the processing time will be less by at least 34%.Moreover, with the increase in the volume of transmitted images and the data transmission speed in the communication channel - the gain in the time of delivery for the developed method will increase. Here, the loss of quality of the compressed/restored image does not exceed 2% by RMS, or not worse than 45 dB by PSNR. What is unnoticeable to the human eye.Conclusions. The scientific novelty of the obtained results is as follows: for the first time the method of classification (separate) coding (compression) of high-frequency and low-frequency components of Walsh transformants of video images is offered and investigated, which allows to consider their different dynamic range and statistical redundancy reduced using arithmetic coding. This method will allow to ensure the necessary level of availability and authenticity when transmitting video data, while maintaining strict statistical statistics.Note that the proposed method fulfills the set tasks to increase the efficiency of information delivery. Simultaneously, the method for reducing the time complexity of the conversion of highly saturated video images using their representation by the transformants of the discrete Walsh transformation was further developed. It is substantiated that the perspective direction of improvement of methods of image compression is the application of orthogonal transformations on the basis of integer piecewise-constant functions, and methods of integer arithmetic coding of values of transformant transformations.It is substantiated that the joint use of Walsh transformation and arithmetic coding, which reduces the time of compression and recovery of images; reduces additional statistical redundancy. To further increase the degree of compression, a classification coding of low-frequency and high-frequency components of Walsh transformants is developed. It is shown that an additional reduction in statistical redundancy in the arrays of low-frequency components of Walsh transformants is achieved due to their difference in representation. Recommendations for the parameters of the compression method for which the lowest value of the total time of information delivery is provided are substantiated.

Error control of high speed serial display data transmission

2012 ◽  
Vol 20 (3) ◽  
pp. 632-642
Author(s):  
邓春健 DENG Chun-jian ◽  
安源 AN Yuan ◽  
吕燚 L Yi ◽  
李文生 LI Wen-sheng ◽  
邹坤 ZOU kun
Keyword(s):  
Data Transmission ◽  
High Speed ◽  
Error Control

A Comprehensive Study of Low Frequency and High Frequency Channel Correlation

2019 ◽  
Author(s):  
Pablo Jimenez Mateo ◽  
Alejandro Blanco Pizarro ◽  
Norbert Ludant ◽  
Matteo Marugan Borelli ◽  
Amanda Garcia-Garcia ◽  
...  
Keyword(s):  
High Frequency ◽  
Low Frequency ◽  
Channel Correlation ◽  
Frequency Channel ◽  
Comprehensive Study

High-Speed Serial Data Transmission Error Control Based on Fuzzy Classification

2018 ◽  
Vol 22 (7) ◽  
pp. 1077-1081
Author(s):  
Zhimin Zhang ◽  
Keyword(s):  
Energy Consumption ◽  
Packet Loss ◽  
Data Transmission ◽  
High Speed ◽  
Error Control ◽  
Transmission Error ◽  
Fuzzy Classification ◽  
Control Data ◽  
Transmission Errors ◽  
Serial Data

At present, the error control method for high-speed serial data transmission obtains the errors by comparison and then controls them. If the data transmission channel is not denoised, the packet loss and error codes become serious, and energy consumption increases. The use of fuzzy classification is proposed to control data transmission errors. The method uses the combination of wavelet transform and transform domain difference to double denoise the channel, and it completes the clustering of data transmission errors by fuzzy classification. Considering packet loss, error codes, and energy consumption in data transmission error control, when the communication distance between two nodes is small, automatic repeat request is used to control data transmission errors. As the distance between nodes increases, forward error correction is used to control data transmission errors. When the communication distance gradually increases, data transmission errors are controlled by hybrid automatic repeat request. Experiments showed that the proposed method can reduce the data transmission error, control energy consumption, packet loss rate, and bit error rate, and enhance the denoising effect.

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