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A common FEC scheme is the use of an error correction code (ECC) to detect and/or correct errors in data. An ECC is a mathematical error-correcting code that encodes information bits into groups of data bits (n-bit), so that any n-bit group of information bits, which may be transmitted, is guaranteed to have a unique corrected value (usually of length greater than n bits) when received, and/or to be able to be detected as having an incorrect value if received with a certain probability. An ECC may be used to detect and correct errors in any kind of data transmitted over a communications network. ECCs can be decoded by a receiver using an ECC decoder, which can be implemented in software or hardware, such as a Reed-Solomon encoder or a Viterbi decoder. Although error detection and correction with ECCs is a robust and effective error correction method, ECCs are expensive to implement and require large amounts of memory to store large amounts of data that are used to encode data to generate ECCs.Q: How to merge the multiple same pandas dataframes in a list in python? I am using a machine learning algorithm that is based on the neural network technique. I have a trained dataframe called 'Input' and another one called 'Output'. I want to merge the both the dataframes and concatenate the newly merged dataframes to a bigger one. 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