Q. Turbo codes are
Explanation: turbo codes are a class of high performance forward error correction codes.
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Explanation: turbo codes are a class of high performance forward error correction codes.
Explanation: there are many instances of turbo codes, using different component encoders, input/output ratios, inter leavers, punching patterns.
Explanation: two elementary decoders are
Explanation: an inter leaver installed between the two decoders connected in series is used to scatter error bursts.
Explanation: the decoder front end produces an integer for each bit in the data stream. this integer is the measure of how likely it is that the bit 0 or 1 and is called as soft bit. it ranges from -127 to 127. here -127 represents certainly zero.
Explanation: the decoder front end produces an integer for each bit in the data stream. this integer is the measure of how likely it is that the bit 0 or 1 and is called as soft bit. it ranges from -127 to 127. here 100 represents very likely one.
Explanation: the decoder front end produces an integer for each bit in the data stream. this integer is the measure of how likely it is that the bit 0 or 1 and is called as soft bit. it ranges from -127 to 127. here 0 represents ‘could be either zero or one’.
Explanation: convolution code can achieve a larger coding gain that can be achieved using a block coding with the same complexity.
Explanation: constraint length determines the number of input data bits that the current output is dependent upon. the constraint length determines how powerful and complex the code is.
Explanation: linear matrix is not a way to represent convolution code. various ways of representing convolution codes are generator matrix, generator polynomial, logic tables, state diagram, tree diagram and trellis diagram.
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