Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Focusing of Light in the Eye01:16

Focusing of Light in the Eye

7.4K
Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
7.4K
Classification of Signals01:30

Classification of Signals

1.6K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.6K
Aliasing01:18

Aliasing

776
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...
776
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

837
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...
837
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.7K
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...
1.7K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

9.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
9.0K

You might also read

Related Articles

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

Sort by
Same author

The Sticking Point: How to tackle irritation from infusion set and CGM sensor adhesives.

Diabetes forecast·2018
Same author

The Human Factor: The Cost of Switching from Analog to Human Insulin.

Diabetes forecast·2018
Same author

Winter Skin Guide.

Diabetes forecast·2018
Same author

Well-Being.

Diabetes forecast·2018
Same author

Fungal Facts. How to spot and prevent yeast infections.

Diabetes forecast·2018
Same author

25 TIPS FOR BETTER LIVING WITH DIABETES.

Diabetes forecast·2018

Related Experiment Video

Updated: Mar 28, 2026

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

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.4K

BLURRED SIGNS?

Allison Tsai

    Diabetes Forecast
    |December 16, 2015
    PubMed
    Summary

    No abstract available in PubMed .

    More Related Videos

    Test Samples for Optimizing STORM Super-Resolution Microscopy
    16:52

    Test Samples for Optimizing STORM Super-Resolution Microscopy

    Published on: September 6, 2013

    31.8K
    Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
    15:04

    Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

    Published on: May 18, 2011

    13.6K

    Related Experiment Videos

    Last Updated: Mar 28, 2026

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

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.4K
    Test Samples for Optimizing STORM Super-Resolution Microscopy
    16:52

    Test Samples for Optimizing STORM Super-Resolution Microscopy

    Published on: September 6, 2013

    31.8K
    Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
    15:04

    Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

    Published on: May 18, 2011

    13.6K