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Related Concept Videos

¹H NMR Signal Multiplicity: Splitting Patterns01:13

¹H NMR Signal Multiplicity: Splitting Patterns

When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single stretching vibration...
Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule01:10

Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule

In the AX proton spin system, proton A can sense the two spin states of a coupled proton X, resulting in a doublet NMR signal with two peaks of equal (1:1) intensity. When proton A is coupled to two equivalent protons (AX2 spin system), the spin states of each X can be aligned with or against the external field, creating three possible scenarios. This results in a 1:2:1  triplet signal, where the central peak corresponds to the chemical shift of A and is twice as large or intense as the others.
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied first.
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...

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Related Experiment Video

Updated: Jul 7, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

Statistical analysis of split spectrum processing for multiple target detection.

Q Tian, N M Bilgutay

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |February 5, 2008
    PubMed
    Summary
    This summary is machine-generated.

    Split Spectrum Processing (SSP) effectively detects multiple targets in noisy data. Both known and adaptive frequency selection methods show comparable signal-to-noise ratio enhancement, outperforming traditional bandpass filters.

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    Published on: March 13, 2017

    Area of Science:

    • Non-destructive testing
    • Signal processing
    • Ultrasonic testing

    Background:

    • Split Spectrum Processing (SSP) is evaluated for multiple target detection.
    • Performance is analyzed using simulated flaw signals and experimental grain noise data.
    • Two processing conditions are investigated: known target spectral characteristics and adaptive frequency selection via group delay moving entropy.

    Discussion:

    • The group delay moving entropy method is introduced for optimal frequency selection in SSP.
    • Performance metrics include normalized signal-to-noise ratio (SNR) and probability of detection.
    • Comparison with bandpass filters demonstrates SSP's superior performance across various simulation parameters.

    Key Insights:

    • SSP with known target spectral information offers a slightly higher probability of detection.
    • Both known and adaptive SSP methods achieve comparable SNR enhancement.
    • SSP significantly outperforms traditional bandpass filtering for multiple target detection.

    Outlook:

    • Further research can explore advanced adaptive algorithms for SSP.
    • Optimization of SSP parameters for diverse material and flaw types is warranted.
    • Real-world experimental validation of adaptive SSP in complex NDT scenarios is recommended.