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

What are Estimates?01:06

What are Estimates?

8.8K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.8K
Estimation of k and VD of Aminoglycosides01:20

Estimation of k and VD of Aminoglycosides

230
Aminoglycosides are a class of antibiotics used to treat various bacterial infections. Clinicians must determine the elimination rate constant (k) and volume of distribution (VD) to optimize therapeutic efficacy and minimize toxicity. The k value represents the rate at which the drug is removed from the body, and the VD reflects the degree to which the drug distributes into body tissues. Accurately estimating these parameters allows healthcare professionals to tailor drug dosing to individual...
230
Transcription Factors02:16

Transcription Factors

82.7K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
82.7K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

7.6K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
7.6K
Factors Affecting Solubility04:01

Factors Affecting Solubility

37.0K
Compared with pure water, the solubility of an ionic compound is less in aqueous solutions containing a common ion (one also produced by dissolution of the ionic compound). This is an example of a phenomenon known as the common ion effect, which is a consequence of the law of mass action that may be explained using Le Chȃtelier’s principle. Consider the dissolution of silver iodide:
37.0K
Transcription Elongation Factors02:35

Transcription Elongation Factors

13.8K
Transcription elongation is a dynamic process that alters depending upon the sequence heterogeneity of the DNA being transcribed. Hence, it is not surprising that the elongation complex's composition also varies along the way while transcribing a gene.
The transcription elongation is regulated via pausing of RNA polymerase on several occasions during transcription. In bacteria, these halts are necessary because the transcription of DNA into mRNA is coupled to the translation of that mRNA...
13.8K

You might also read

Related Articles

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

Sort by
Same author

Subspace Method of Moments for <i>Ab Initio</i> 3-D Single Particle Cryo-EM Reconstruction.

SIAM journal on imaging sciences·2026
Same author

Bayesian perspective for orientation determination in cryo-EM with application to structural heterogeneity analysis.

Acta crystallographica. Section D, Structural biology·2026
Same author

FAST EXPANSION INTO HARMONICS ON THE BALL.

SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics·2026
Same author

MANIFOLD LEARNING IN METRIC SPACES.

Applied and computational harmonic analysis·2026
Same author

Bayesian Perspective for Orientation Determination in Cryo-EM with Application to Structural Heterogeneity Analysis.

bioRxiv : the preprint server for biology·2025
Same author

The Inaugural Flatiron Institute Cryo-EM Conformational Heterogeneity Challenge.

bioRxiv : the preprint server for biology·2025
Same journal

On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical Phenomena.

... International Conference on Sampling Theory and Applications (SampTA). International Conference on Sampling Theory and Applications·2024
See all related articles

Related Experiment Video

Updated: Jan 28, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

3.0K

Factor Analysis for Spectral Estimation.

Joakim Andén1, Amit Singer2

  • 1Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, 08544.

... International Conference on Sampling Theory and Applications (Sampta). International Conference on Sampling Theory and Applications
|March 12, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new statistical method for accurate power spectrum estimation, especially for short signals. The approach improves noise whitening and data analysis in fields like cryo-electron microscopy.

More Related Videos

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry
11:08

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry

Published on: May 5, 2017

13.5K
Spectral Reflectometric Microscopy on Myelinated Axons In Situ
09:13

Spectral Reflectometric Microscopy on Myelinated Axons In Situ

Published on: July 2, 2018

7.7K

Related Experiment Videos

Last Updated: Jan 28, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

3.0K
Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry
11:08

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry

Published on: May 5, 2017

13.5K
Spectral Reflectometric Microscopy on Myelinated Axons In Situ
09:13

Spectral Reflectometric Microscopy on Myelinated Axons In Situ

Published on: July 2, 2018

7.7K

Area of Science:

  • Signal Processing
  • Statistical Modeling
  • Computational Science

Background:

  • Power spectrum estimation is crucial for noise whitening and signal analysis.
  • The multitaper method is widely used but performs poorly on short signals.
  • Limitations exist for analyzing signals with limited data points.

Purpose of the Study:

  • To develop a robust power spectrum estimation method for short signals.
  • To enhance accuracy in scenarios where traditional methods fail.
  • To provide a statistically sound approach for complex signal analysis.

Main Methods:

  • Proposed a statistical model using random linear combinations of stochastic sources.
  • Estimated the subspace spanned by power spectra of fixed sources from multiple signals.
  • Projected individual power spectrum estimates onto the estimated subspace.

Main Results:

  • The proposed method significantly increases estimation accuracy for short signals.
  • Accuracy guarantees were mathematically derived for the new method.
  • Demonstrated effectiveness on both simulated and experimental cryo-electron microscopy data.

Conclusions:

  • The novel subspace projection method offers a superior alternative for power spectrum estimation with limited data.
  • This technique enhances the analysis of signals in various scientific applications.
  • The findings have implications for improving data processing in fields like microscopy.