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Related Concept Videos

Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse.
Properties of Fourier Transform II01:24

Properties of Fourier Transform II

The Fourier Transform (FT) is an essential mathematical tool in signal processing, transforming a time-domain signal into its frequency-domain representation. This transformation elucidates the relationship between time and frequency domains through several properties, each revealing unique aspects of signal behavior.
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
Interference and Diffraction02:18

Interference and Diffraction

Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
Bandpass Sampling01:17

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. The spectrum...
Propagation of Waves01:07

Propagation of Waves

When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
Graphing the Wave Function01:13

Graphing the Wave Function

Consider the wave equation for a sinusoidal wave moving in the positive x-direction. The wave equation is a function of both position and time. From the wave equation, two different graphs can be plotted.

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Related Experiment Video

Updated: Jun 6, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

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Published on: March 20, 2017

Two-dimensional wavelet transform by wavelength multiplexing.

J García, Z Zalevsky, D Mendlovic

    Applied Optics
    |December 15, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study demonstrates a novel optical method for performing a two-dimensional wavelet transform using a single spatial channel. This approach encodes scaling information in different wavelengths for efficient data analysis and compression.

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    Last Updated: Jun 6, 2026

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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    Area of Science:

    • Optics
    • Signal Processing
    • Data Compression

    Background:

    • The wavelet transform is crucial for analyzing transient signals and data compression.
    • Existing optical methods often require complex spatial or temporal multiplexing.

    Purpose of the Study:

    • To develop a simplified optical method for a two-dimensional wavelet transform.
    • To achieve efficient data analysis using a single spatial channel.

    Main Methods:

    • Utilized spatial multiplexing with different wavelengths to encode scaling information.
    • Implemented an optical system summing information incoherently at the output plane.

    Main Results:

    • Successfully demonstrated a two-dimensional wavelet transform using only one spatial channel.
    • Information across different scales was effectively represented by distinct wavelengths.

    Conclusions:

    • The proposed optical method offers a streamlined approach to wavelet transform implementation.
    • This technique shows promise for advanced optical signal processing and data compression applications.