In the last decade, research on detection algorithms capable of mitigating the effects of colored Gaussian thermal noise and transition noise in storage systems, has proposed a number of solutions. In this paper, we present a new detection scheme based on a multidimensional receiver front-end and linear prediction applied to Maximum A-Posteriory Probability (MAP) sequence detection, which improves the Bit Error Rate (BER) performance with respect to previous solutions.
Multidimensional receiver front-end for storage systems with data dependent transition noise / Pighi, Riccardo; Raheli, Riccardo; U., Amadei. - (2004), pp. 885-890. (Intervento presentato al convegno Intern. Symp. Inform. Theory and its Applications (ISITA 2004) tenutosi a Parma, Italy nel October 2004).
Multidimensional receiver front-end for storage systems with data dependent transition noise
PIGHI, Riccardo;RAHELI, Riccardo;
2004-01-01
Abstract
In the last decade, research on detection algorithms capable of mitigating the effects of colored Gaussian thermal noise and transition noise in storage systems, has proposed a number of solutions. In this paper, we present a new detection scheme based on a multidimensional receiver front-end and linear prediction applied to Maximum A-Posteriory Probability (MAP) sequence detection, which improves the Bit Error Rate (BER) performance with respect to previous solutions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
