Design of Multidirectional Parity Code Using Hamming Code Technique for Error Detection and Correction

2012 ◽  
Vol 3 (5) ◽  
pp. 79-81
Author(s):  
Vishal Badole ◽  
◽  
Amit Udawat
Keyword(s):  
Error Detection ◽  
Hamming Code ◽  
Code Technique ◽  
Error Detection And Correction

scholarly journals BIT ERROR DETECTION AND CORRECTION WITH HAMMING CODE ALGORITHM

2017 ◽  
Author(s):  
Robbi Rahim
Keyword(s):  
Error Detection ◽  
Scientific Research ◽  
Hamming Code ◽  
Error Detection And Correction ◽  
Engineering And Technology ◽  
Code Algorithm

This paper has been published in International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET) Volume 3 Issue 1 year of 2017

scholarly journals Lookup Table Algorithm for Error Correction in Color Images

2018 ◽  
Vol 2 (2) ◽  
pp. 63
Author(s):  
Ruaa Alaadeen Abdulsattar ◽  
Nada Hussein M. Ali
Keyword(s):  
Error Correction ◽  
Error Detection ◽  
Color Image ◽  
Color Images ◽  
Lookup Table ◽  
Hamming Code ◽  
Detection Techniques ◽  
Error Ratio ◽  
Error Detection And Correction ◽  
Large Burst

Error correction and error detection techniques are often used in wireless transmission systems. A color image of type BMP is considered as an application of developed lookup table algorithms to detect and correct errors in these images. Decimal Matrix Code (DMC) and Hamming code (HC) techniques were integrated to compose Hybrid Matrix Code (HMC) to maximize the error detection and correction. The results obtained from HMC still have some error not corrected because the redundant bits added by Hamming codes to the data are considered inadequate, and it is suitable when the error rate is low for detection and correction processes. Besides, a Hamming code could not detect large burst error period, in addition, the have same values sometimes which lead to not detect the error and consequently increase the error ratio. The proposed algorithm LUT_CORR is presented to detect and correct errors in color images over noisy channels, the proposed algorithm depends on the parallel Cyclic Redundancy Code (CRC) method that's based on two algorithms: Sarwate and slicing By N algorithms. The LUT-CORR and the aforementioned algorithms were merged to correct errors in color images, the output results correct the corrupted images with a 100 % ratio almost. The above high correction ratio due to some unique values that the LUT-CORR algorithm have. The HMC and the proposed algorithm applied to different BMP images, the obtained results from LUT-CORR are compared to HMC for both Mean Square Error (MSE) and correction ratio.  The outcome from the proposed algorithm shows a good performance and has a high correction ratio to retrieve the source BMP image.

Energy Efficient, Hamming Code Technique for Error Detection/Correction Using In-Memory Computation

2021 ◽  
Author(s):  
Mythrai ◽  
Pragna ◽  
Kavitha S ◽  
P. Singh ◽  
A. P. Shah ◽  
...  
Keyword(s):  
Error Detection ◽  
Energy Efficient ◽  
Hamming Code ◽  
Code Technique

scholarly journals Error Detection and Correction On-Board Nanosatellites Using Hamming Codes

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Caleb Hillier ◽  
Vipin Balyan
Keyword(s):  
Error Correction ◽  
Error Detection ◽  
Simulation Software ◽  
Hamming Code ◽  
Single Event ◽  
Hamming Codes ◽  
Single Event Effects ◽  
Effective Version ◽  
Fast Speed ◽  
Error Detection And Correction

The field of nanosatellites is constantly evolving and growing at a very fast speed. This creates a growing demand for more advanced and reliable EDAC systems that are capable of protecting all memory aspects of satellites. The Hamming code was identified as a suitable EDAC scheme for the prevention of single event effects on-board a nanosatellite in LEO. In this paper, three variations of Hamming codes are tested both in Matlab and VHDL. The most effective version was Hamming [16, 11, 4]2. This code guarantees single-error correction and double-error detection. All developed Hamming codes are suited for FPGA implementation, for which they are tested thoroughly using simulation software and optimized.

scholarly journals SEC-TAED based Error Detection and Correction Technique for Data Transmission Systems

2018 ◽  
Vol 10 (2) ◽  
pp. 696
Author(s):  
Mr. G. Manikandan ◽  
Dr. M. Anand
Keyword(s):  
Error Detection ◽  
Gaussian Noise ◽  
Data Transmission ◽  
High Speed ◽  
Additive White Gaussian Noise ◽  
Hamming Code ◽  
Correction Technique ◽  
Error Detection And Correction ◽  
Placement Algorithm ◽  
Original Information

<p>In the OFDM communication system channel encoder and decoder is the part of the architecture. OFDM channel is mostly affected by Additive White Gaussian Noise (AWGN) in which bit flipping of original information leads to fault transmission in the channel. To overcome this problem by using hamming code for error detection and correction. Hamming codes are more attractive and it easy to process the encoding and decoding with low latency. In general the hamming is perfectly detected and corrects the single bit error. In this paper, design of single Error Correction-Triple Adjacent Error Detection (SEC-TAED) codes with bit placement algorithm is presented with less number of parity bits. In the conventional Double Adjacent Error Detection (DAED) and Hamming (13, 8) SEC-TAED are process the codes and detects the error, but it require more parity bits for performing the operation. The higher number of parity bits causes processing delay. To avoid this problem by proposed the Hamming (12, 8) SEC-TAED code, it require only four parity bits to perform the detection process. Bit-reordered format used in the method increases the probability detection of triple adjacent error. It is more suitable for efficient and high speed communication.</p>

A HAMMING CODE BASED SINGLE BIT ERROR DETECTION AND CORRECTION FOR 128 OR 256 BITS

2017 ◽  
Vol 5 (3) ◽  
pp. 1
Author(s):  
MALVIYA VINITA ◽  
GUPTA SOUMYA ◽  
THAKKAR HARDIK ◽  
SINGH DHARMENDRA ◽  
◽  
...  
Keyword(s):  
Error Detection ◽  
Hamming Code ◽  
Error Detection And Correction

scholarly journals FPGA implementation of RGB image encryption and decryption using DNA cryptography

2018 ◽  
Vol 7 (2.8) ◽  
pp. 397 ◽  
Author(s):  
Fazal Noorbasha ◽  
K Suresh
Keyword(s):  
Image Encryption ◽  
Error Detection ◽  
Hamming Code ◽  
Error Detection And Correction ◽  
Dna Cryptography ◽  
Encryption And Decryption ◽  
Field Programmable ◽  
Pixel Image ◽  
Side Error ◽  
Rgb Image

The rapid growth in digitization transmission of information in the form of RGB image. During the process transmission of the image in a channel, some data may be degraded due to noise. At receiver side error in data has to be detected and corrected. Hamming code is one of the popular techniques for error detection and correction. In this paper new algorithm proposed for encryption and decryption of RGB image with DNA cryptography and hamming code for secure transmission, and correction. this algorithm first encodes data to hamming code and encrypted to DNA code. Two-bit error detection and correction for each pixel of the image can be performed.DNA code improves security and use of the Hamming code for error detection and correction. For the image of size 256*256 pixel image, it corrects up to 2*256*256 bits in RGB image. The RGB image encryption and decryption design using Verilog and implemented using FPGA (Field Programmable Gate Array).

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