An Error Correcting Code (ECC) i.e. “error checking and correcting”

allows data that is being read or transmitted to be checked for errors and, when

necessary, corrected. An Error-Correcting Code (ECC) is a code in which each

data signal conforms to specific rules of construction so that departures from

this construction in the received signal can generally be automatically detected

and corrected. Error correcting codes provide a way of reliably transmitting data

over a channel.

 

Error Correcting Code is used in computer data storage, for example in

dynamic RAM, and in data transmission. Examples include Hamming code,

BCH code, Reed-Solomon code, Convolutional code, and turbo code. The

simplest error correcting codes can correct single-bit errors and detect double-bit

errors. Other codes can detect or correct multi-bit errors.

 

The general idea of an error correcting code is to add extra bits to the

message (the encoding process), based on the message bits themselves, to create

a codeword. Once passed through a channel, a decoding algorithm can be

applied to correct incorrect bits in the received message.

 

To see the effect of different Error Correcting Codes (Convolution code,

Reed-Solomon code) on image for different properties like Bit Error Rate

(BER), Similarity factor. From the simulation evaluate the better Error

Correcting Code among them in a different condition.

 

Error Correcting Code is used in computer data storage, for example in dynamic

RAM, and in data transmission. Examples include Hamming code, BCH code, Reed-

Solomon code, Convolutional code, and turbo code. The simplest error correcting codes can correct single-bit errors and detect double-bit errors. Other codes can detect or correct

multi-bit errors.

 

Shannon’s theorem is an important theory in error correction which describes the

maximum attainable efficiency of an error-correcting scheme versus the levels of noise

interference expected. The Shannon limit or Shannon capacity of a communications

channel is the theoretical maximum information transfer rate of the channel, for a

particular noise level.

 

 



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