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

Properties of the z-Transform I01:17

Properties of the z-Transform I

349
The z-transform is a fundamental tool in digital signal processing, enabling the analysis of discrete-time systems through its various properties. It is an invaluable tool for analyzing discrete-time systems, offering a range of properties that simplify complex signal manipulations. One fundamental property is linearity. For any two discrete-time signals, the z-transform of their linear combination equals the same linear combination of their individual z-transforms. This property is essential...
349
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

552
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
552
Maximum Power Transfer01:16

Maximum Power Transfer

464
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
464
Linear time-invariant Systems01:23

Linear time-invariant Systems

499
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
499
Basic Continuous Time Signals01:22

Basic Continuous Time Signals

408
Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
408
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

325
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is...
325

You might also read

Related Articles

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

Sort by
Same author

Comparative dementia and Parkinson's disease risk associated with melatonin, benzodiazepine, or zolpidem use in patients with sleep disorders: a retrospective cohort study.

Scientific reports·2026
Same author

Graph-Tabular Latent Fusion for Non-Contact Body Temperature Prediction from Thermal Facial Landmarks.

Sensors (Basel, Switzerland)·2026
Same author

Carpal tunnel syndrome as risk factor for subsequent development of irritable bowel syndrome: a retrospective cohort study.

Scientific reports·2026
Same author

The JAK Inhibitor Paradox: A Mechanistic Divide Between Adaptive and Innate Immunity.

International journal of rheumatic diseases·2026
Same author

Risk of interstitial lung disease following COVID-19 infection in patients with autoimmune diseases: a retrospective cohort study.

Rheumatology (Oxford, England)·2026
Same author

Author Reply to comment on "Clinical application and feasibility of capsule endoscopy in children at a medical center in central Taiwan".

Journal of the Formosan Medical Association = Taiwan yi zhi·2026

Related Experiment Video

Updated: Sep 27, 2025

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.0K

Inter-Multilevel Super-Orthogonal Space-Time Coding Scheme for Reliable ZigBee-Based IoMT Communications.

Shang-Chih Ma1, Mohammad Alkhaleefah1, Yang-Lang Chang1

  • 1Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.

Sensors (Basel, Switzerland)
|April 12, 2022
PubMed
Summary
This summary is machine-generated.

A new inter-multilevel super-orthogonal space-time coding (IM-SOSTC) scheme improves reliability for Internet of Medical Things (IoMT) communications. This novel approach enhances vital patient data transmission over ZigBee networks, balancing coding gain and spectral efficiency.

Keywords:
Internet of Medical Things (IoMT)ZigBeechannel codinginter-level dependency codesmultilevel coding techniquesuper-orthogonal space–time codes

More Related Videos

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

10.0K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.6K

Related Experiment Videos

Last Updated: Sep 27, 2025

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.0K
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

10.0K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.6K

Area of Science:

  • Electrical Engineering and Computer Science
  • Wireless Communication Systems
  • Biomedical Engineering

Background:

  • The Internet of Medical Things (IoMT) leverages Internet of Things (IoT) technology to transform healthcare delivery.
  • ZigBee is a preferred protocol for IoMT due to its low cost, power consumption, and ease of implementation.
  • Maintaining high reliability in ZigBee-based IoMT is challenging due to multi-path fading and network interference.

Purpose of the Study:

  • To address the demand for reliable vital patient data transmission in ZigBee-based IoMT communications.
  • To introduce and evaluate a novel channel coding scheme, inter-multilevel super-orthogonal space-time coding (IM-SOSTC).
  • To achieve a superior trade-off between coding gain and spectral efficiency while ensuring full diversity and low complexity.

Main Methods:

  • Developed a novel coding scheme, IM-SOSTC, by combining multilevel coding and set partitioning of super-orthogonal space-time block codes.
  • Utilized the coding gain distance (CGD) criterion for scheme design.
  • Conducted computer simulations over a quasi-static Rayleigh fading channel to compare IM-SOSTC with existing schemes.

Main Results:

  • The proposed IM-SOSTC scheme demonstrates superior performance compared to other related coding schemes.
  • IM-SOSTC effectively provides inter-level dependency between adjacent multilevel coded blocks, enhancing spectral efficiency.
  • The scheme guarantees full diversity and maintains low complexity.

Conclusions:

  • IM-SOSTC offers an optimal solution for enhancing the reliability and efficiency of ZigBee-based IoMT communications.
  • The novel coding scheme effectively addresses the challenges of fading and interference in wireless IoMT environments.
  • This advancement supports more dependable transmission of critical patient data, improving IoMT healthcare applications.