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

Linear Approximation in Time Domain

Linear Approximation in Time Domain

Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...

Linear Approximation in Frequency Domain

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....

Application of Linearization and Approximation

Application of Linearization and Approximation

A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...

Extraction: Partition and Distribution Coefficients

Extraction: Partition and Distribution Coefficients

The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...

Linearization and Approximation

Linearization and Approximation

Linearization is a mathematical technique used to approximate complex, nonlinear functions with simpler linear models in the vicinity of a chosen reference point. The method is based on the idea that, although a function may be difficult to evaluate exactly, its behavior near a specific input value can often be closely approximated by the tangent line at that point. This approach is particularly useful when small deviations from a known value are involved.Consider the square root function, for...

Area Computation by the Alternative Coordinate Method

Area Computation by the Alternative Coordinate Method

The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...

You might also read

Related Articles

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

Sort by

Same author

Photoinduced interface reconstruction of Cu<sub>2</sub>O sub-nanocluster-oxygen-rich TiO<sub>2+<i>x</i></sub> heterostructures enabling efficient nitrate-to-ammonia electrosynthesis at industrial current densities.

Chemical science·2026

Same author

FGFR2 Regulates Liver Injury and Repair in a Model of Obstructive Jaundice.

Frontiers in bioscience (Landmark edition)·2026

Same author

A Robust 3D Registration Method via Simultaneous Inlier Identification and Model Estimation.

Journal of imaging·2026

Same author

Liver endothelial zonation orchestrates hepatic steatosis onset through retinoic acid-regulated FGF1.

Science advances·2026

Same author

A noncanonical neuroligin 3-centered complex promotes functional recovery of spinal cord injury.

Stem cell research & therapy·2026

Same author

A systemic review of facial expression recognition (FER) in stroke: diagnosis and emerging applications in rehabilitation.

Frontiers in neurology·2026

Search research articles

Related Experiment Video

Updated: Apr 20, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Off-grid direction of arrival estimation based on joint spatial sparsity for distributed sparse linear arrays.

Yujie Liang¹, Rendong Ying², Zhenqi Lu³

¹School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai 200240, China. naughtyegg@sjtu.edu.cn.

Sensors (Basel, Switzerland)

|November 25, 2014

Summary

This study introduces a new method for joint direction-of-arrival (DOA) estimation using distributed sparse linear arrays (SLAs). The approach enhances array aperture and improves estimation performance for complex source distributions.

More Related Videos

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Related Experiment Videos

Last Updated: Apr 20, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Area of Science:

Array signal processing
Compressed sensing
Statistical signal processing

Background:

Array aperture size significantly impacts estimation performance and system cost in sensor array design.
Accurate direction-of-arrival (DOA) estimation is crucial for various applications.

Purpose of the Study:

To propose an off-grid synchronous approach for joint DOA estimation using distributed sparse linear arrays (SLAs).
To achieve a larger effective array aperture and improve estimation performance in practical scenarios with complex source distributions.

Main Methods:

Developing an off-grid synchronous approach based on distributed compressed sensing.
Classifying sources into common and innovation parts based on signal impingement on SLAs.
Constructing virtual uniform linear arrays (ULAs) for each SLA to establish signal relationships.
Abstracting signal ensembles into a joint spatial sparsity model.
Utilizing minimization of concatenated atomic norm via semidefinite programming for DOA estimation.

Main Results:

The proposed method effectively increases the array aperture by exploiting redundancy from common sources across distributed SLAs.
Joint calculation of signals from all SLAs decreases the requirement for individual array size.
Numerical results demonstrate the advantages of the proposed approach in joint DOA estimation.

Conclusions:

The off-grid synchronous approach offers a promising solution for joint DOA estimation with distributed SLAs.
The method effectively handles complex source distributions and improves system performance.
This technique provides a more cost-effective and efficient solution for sensor array design.