Add to ORKGIn 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 num-ber 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 Prob-ability (MAP) sequence detection, which improves the Bit Error Rate (BER) performance with respect to previous so-lutions. 1
Abstract In digital recording systems, the total amount of data-dependent media noise increases cons...
In digital recording systems, the total amount of data-dependent media noise increases considerably ...
A symbol detection scheme based on the Viterbi algorithm that simultaneously processes subsets of 2-...
In the last decade, research on detection algorithms capable of mitigating the effects of colored Ga...
In the last decade, significant research on detection algorithms capable of mitigating the effects o...
In the last decade, significant research has been performed on detection algorithms capable of mitig...
This paper presents a simulation-based method for the computation of the information rates of recent...
High density data storage systems suffer from the presence of data dependent noise during the read-b...
In this paper, a recently proposed oversampled detector for digital storage channels affected by tra...
The hard-disk storage industry is at a critical time as the current technologies are incapable of ac...
A classical problem in digital communications is to evaluate the symbol error probability (SEP) and ...
We propose a simple soft-output detection scheme for communication channels characterized by data-de...
Near-optimum sequence detection in channels with intersymbol interference (ISI) is based on the Vite...
The storage of very high density data is required in the hard-disk industry today. To increase the ...
Robust detection algorithms capable of mitigating the effects of colored noise are of primary intere...
Abstract In digital recording systems, the total amount of data-dependent media noise increases cons...
In digital recording systems, the total amount of data-dependent media noise increases considerably ...
A symbol detection scheme based on the Viterbi algorithm that simultaneously processes subsets of 2-...
In the last decade, research on detection algorithms capable of mitigating the effects of colored Ga...
In the last decade, significant research on detection algorithms capable of mitigating the effects o...
In the last decade, significant research has been performed on detection algorithms capable of mitig...
This paper presents a simulation-based method for the computation of the information rates of recent...
High density data storage systems suffer from the presence of data dependent noise during the read-b...
In this paper, a recently proposed oversampled detector for digital storage channels affected by tra...
The hard-disk storage industry is at a critical time as the current technologies are incapable of ac...
A classical problem in digital communications is to evaluate the symbol error probability (SEP) and ...
We propose a simple soft-output detection scheme for communication channels characterized by data-de...
Near-optimum sequence detection in channels with intersymbol interference (ISI) is based on the Vite...
The storage of very high density data is required in the hard-disk industry today. To increase the ...
Robust detection algorithms capable of mitigating the effects of colored noise are of primary intere...
Abstract In digital recording systems, the total amount of data-dependent media noise increases cons...
In digital recording systems, the total amount of data-dependent media noise increases considerably ...
A symbol detection scheme based on the Viterbi algorithm that simultaneously processes subsets of 2-...