ABSTRACT

In the previous chapter, we studied the joint maximum-likelihood MC encoding and decoding, where the input signal constellation is fully used. Its complexity is, however, high when the ISI channel length, or the MC size, or the signal constellation size is large. In this chapter, we study a suboptimal encoding and decoding method, namely joint decision feedback equalizations, where the input signal constellation can be arbitrary. The results in this chapter are summarized from [168, 167, 179, 185].