Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Aliasing

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...

Reconstruction of Signal using Interpolation

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...

Bandpass Sampling

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...

¹H NMR: Interpreting Distorted and Overlapping Signals

¹H NMR: Interpreting Distorted and Overlapping Signals

Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Lactoferrin-Templated Silver Peroxide Nanoparticles Reinforced Core-Shell Microneedle for Diabetic Infected Wound Sequential Therapy.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

Comparing argon plasma coagulation and electrosurgical knife in sealing liver transection for hepatocellular carcinoma: prognosis and recurrence patterns.

Surgical endoscopy·2026

Same author

Correlation between symptom distress and quality of life in patients with Chronic Kidney Disease Stage 5 undergoing hemodialysis in China: a multi-center cross-sectional study.

Frontiers in psychiatry·2026

Same author

Optimal unequal-interval phase encoding method for phase modulated holographic data storage.

Optics express·2026

Same author

Holographic data storage using polarization code.

Optics letters·2026

Same author

Ultra-high-speed holographic data storage system based on extending data page size.

Scientific reports·2026

Search research articles

Related Experiment Video

Updated: Jul 11, 2025

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Phase retrieval in holographic data storage by expanded spectrum combined with dynamic sampling method.

Ruixian Chen¹, Jianying Hao¹, Jinyu Wang¹

¹Information Photonics Research Center, College of Photonic and Electronic Engineering, Key Laboratory of Opto-Electronic Science and for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou, 350117, China.

Scientific Reports

|November 3, 2023

Summary

This study introduces an expanded spectrum and dynamic sampling method for holographic data storage, reducing media use and accelerating phase code retrieval for higher storage density.

More Related Videos

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Related Experiment Videos

Last Updated: Jul 11, 2025

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Area of Science:

Optics and Photonics
Information Storage
Digital Imaging

Background:

High-fidelity phase retrieval in holographic data storage typically requires sampling at twice the Nyquist frequency.
This requirement limits storage density and increases computational demands.

Purpose of the Study:

To propose and validate a novel method for phase retrieval in holographic data storage.
To enhance storage density and reduce the number of iterations for phase code retrieval.
To demonstrate the integration of Fourier domain methods for improved system performance.

Main Methods:

Utilizing an expanded spectrum combined with a dynamic sampling method for phase retrieval.
Recording and capturing signals at Nyquist size, deviating from the traditional twice Nyquist requirement.
Employing the iterative Fourier transform algorithm for decoding and retrieving phase information.
Dynamically sampling the expanded spectrum to achieve faster convergence.

Main Results:

Achieved high-fidelity phase retrieval using signals recorded at Nyquist size.
Demonstrated reduced media consumption and fewer iterations for phase code retrieval.
Validated the effectiveness of combining frequency spectrum processing methods through simulations and experiments.

Conclusions:

The proposed expanded spectrum and dynamic sampling method significantly improves holographic data storage efficiency.
Integration of Fourier domain techniques offers a promising pathway for advancing holographic storage systems.
This approach provides a potential solution for increasing storage density and reducing retrieval time.