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

Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
Mesh Analysis01:20

Mesh Analysis

Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
State Space Representation01:27

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...

You might also read

Related Articles

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

Sort by
Same author

Quantum effects in rotationally invariant spin glass models.

Physical review. E·2025
Same author

Evaluation of information flows in the RAS-MAPK system using transfer entropy measurements.

eLife·2025
Same author

ℓ 1 -Regularized ICA: A Novel Method for Analysis of Task-Related fMRI Data.

Neural computation·2024
Same author

Performance Evaluation of Matrix Factorization for fMRI Data.

Neural computation·2023
Same author

Generalization of generative model for neuronal ensemble inference method.

PloS one·2023
Same author

Automatic Hyperparameter Tuning in Sparse Matrix Factorization.

Neural computation·2023

Related Experiment Video

Updated: Jun 14, 2026

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

Statistical mechanical analysis of the Kronecker channel model for multiple-input multiple-output wireless

Atsushi Hatabu1, Koujin Takeda, Yoshiyuki Kabashima

  • 1System IP Core Research Laboratories, NEC Corporation, Kawasaki 211-8666, Japan.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 7, 2010
PubMed
Summary

This study analyzes the Kronecker channel model in wireless communication using statistical mechanics. A new formalism handles antenna correlations, showing approximations are valid for small correlation strengths.

Related Experiment Videos

Last Updated: Jun 14, 2026

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

Area of Science:

  • Wireless Communication
  • Statistical Mechanics
  • Information Theory

Background:

  • The Kronecker channel model is crucial for analyzing wireless communication systems.
  • Spatial antenna correlations introduce complex dependencies, hindering performance assessment.
  • Existing analytical schemes struggle with these nontrivial symbol dependencies.

Purpose of the Study:

  • To develop a formalism for analyzing Kronecker channel models with spatial antenna correlations.
  • To assess the impact of correlation strength on communication performance.
  • To provide an accurate performance evaluation method for wireless systems.

Main Methods:

  • Application of statistical mechanics methods to the Kronecker channel model.
  • Development of a new formalism to handle correlation matrices.
  • Mapping performance analysis to one-dimensional spin systems in random fields for specific correlations.

Main Results:

  • The developed formalism formally handles correlations in Kronecker models.
  • Correlation effects generally increase after the fourth order with respect to correlation strength.
  • The known analytical scheme provides a good approximation for small correlation strengths.

Conclusions:

  • The developed formalism is valuable for understanding correlation effects in wireless communication.
  • Performance analysis can be approximated effectively when correlation strength is small.
  • Belief propagation algorithms can analyze specific correlation cases without approximation.