CYCLE-REMOVING ALGORITHM FOR LOW-DENSITY PARITY CHECK CODES
An Introduction
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In today's rapid technology, there is need for efficient and reliable data transmission. For example, you have a mobile phone and you want to make a call to another person from another country. When you make the call and start the conversation, sinusoidal signals travel through the atmosphere and inevitably gets distorted due to unfavorable atmospheric circumstances such as rain, tall buildings and rough terrains. Once the signal is distorted, the person on the other line may not hear your voice clearly, if not at all! One way to improve the quality of transmitted signals is to increase the po...
In today's rapid technology, there is need for efficient and reliable data transmission. For example, you have a mobile phone and you want to make a call to another person from another country. When you make the call and start the conversation, sinusoidal signals travel through the atmosphere and inevitably gets distorted due to unfavorable atmospheric circumstances such as rain, tall buildings and rough terrains. Once the signal is distorted, the person on the other line may not hear your voice clearly, if not at all! One way to improve the quality of transmitted signals is to increase the power of the transmitter, which is costly and inefficient, and some communication systems have limited transmitter power capabilities. Another alternative is to transform the digitized signals into different and longer digitized signals that represent the same information, known as channel coding. This book discusses optimizing channel coding through the use of cycle removing algorithm for LDPC codes.
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