Nonlinear Modeling of Super-resolution Near-Field Structure

スポンサーリンク

概要

• 論文の詳細を見る

• A correct and accurate model of optical storage systems is very important in the development and performance evaluation of various data detection algorithms. In this paper, we present a nonlinear modeling of a super-resolution near-field structure (super-RENS) read-out signal using the neural network and second-order Volterra models. The experiment results indicate that the nonlinear autoregressive network with an exogenous input (NARX) and the Volterra models considered in this study are superior to the normalized least-mean-squares finite impulse response (NLMS FIR) adaptive filter, the use of which is a linear modeling approach. We verify that the neural network and Volterra models can be utilized for the nonlinear modeling of super-RENS systems. Nonlinear equalizers may be developed on the basis of the information obtained from this nonlinear modeling.

• 2009-03-25

著者

• Lee Jaejin

  School of Electronic Engineering, Soongsil University

• Seo Manjung

  School of Electronic Engineering, Soongsil University, Seoul 156-743, Korea

• Im Sungbin

  School of Electronic Engineering, Soongsil University, 511 Sangdo-dong, Dongjak-gu, Seoul 156-743, Korea

関連論文

• High recording density hard disk channel equalization using a bilinear recursive polynomial model
• $k/(k+1)$ Tone-Controllable Codes for Holographic Data Storage
• Soft-Decoding Algorithm of 3/4 Tone-Controllable Code with Low-Density Parity Check Code for Holographic Data Storage
• Nonlinear Equalization for Super-Resolution Near-Field Structure Discs Using a Simplicial Canonical Piecewise-Linear Model
• Iterative Decoding between Two-Dimensional Soft Output Viterbi Algorithm and Error Correcting Modulation Code for Holographic Data Storage
• Expectation-Maximization Based Adaptive Threshold Detection Algorithm for Multi-Level Holographic Data Storage
• Adaptive Trellis Using Interim Maximum-Likelihood Detector Output for a Holographic Storage System
• Partial Response Maximum Likelihood Detections Using Two-Dimensional Soft Output Viterbi Algorithm with Two-Dimensional Equalizer for Holographic Data Storage
• Partial Response Maximum Likelihood Detection Using Signal Quality Measure Method for Asymmetric Optical Recording Channels
• Nonlinear Modeling and Equalization of Super-Resolution Near-Field Structure Discs Using a Canonical Piecewise-Linear Model
• Nonlinear Modeling of Super-resolution Near-Field Structure
• Nonlinear Equalization for Super-Resolution Near-Field Structure Discs
• Performance Evaluation of a Windowed-Sinc Function-Based Peak Windowing Scheme for OFDM Polar Transmitters
• Tone-Controllable Codes for Holographic Data Storage System
• Nonlinear Equalization of the Super-Resolution Near-Field Structure Read-Out Signal Using the Adaptive Amplitude Nonlinear Gradient Descent Algorithm with the Sigmoid Function (Special Issue : Optical Memories)
• Simplified Decoding of Trellis-Based Error-Correcting Modulation Codes Using the M-Algorithm for Holographic Data Storage (Special Issue : Optical Memories)
• The Optimal Subcarrier and Bit Allocation for Multiuser OFDM System : A Dual-Decomposition Approach
• Soft-Encoding Scheme of 3/4 Tone-Controllable Code for Channel Iteration of Low-Density Parity-Check Code on the Holographic Data Storage
• A Simple Decoding Scheme for a Balanced 6/8 Modulation Code
• Error Correcting 4/6 Modulation Codes for Holographic Data Storage
• Modified Two-Dimensional Soft Output Viterbi Algorithm for Holographic Data Storage
• DC-Free Coding of Run-Length-Limited Codes for Multi-Level Optical Recording Systems
• Rate 5/9 Two-Dimensional Pseudobalanced Code for Holographic Data Storage Systems
• Design of Improved Error Correction Decoder Using Error Detecting Information of Modulation Code in Digital Versatile Disc Systems

もっと見る 閉じる

スポンサーリンク