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

Design Example01:23

Design Example

308
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
308
Aliasing01:18

Aliasing

100
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...
100
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

86
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...
86
Signal and System01:26

Signal and System

589
A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional...
589

You might also read

Related Articles

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

Sort by
Same author

Low-Complexity Automorphism Ensemble Decoding of Reed-Muller Codes Using Path Pruning.

Entropy (Basel, Switzerland)·2025
Same author

Quasi-Optimal Path Convergence-Aided Automorphism Ensemble Decoding of Reed-Muller Codes.

Entropy (Basel, Switzerland)·2025
Same author

Critical Care Resources in Guangdong Province of China: Three Surveys from 2005 to 2015.

Critical care medicine·2017
Same author

Optimization of the ultrasound-assisted extraction of antioxidant phloridzin from Lithocarpus polystachyus Rehd. using response surface methodology.

Journal of separation science·2017
Same author

Histopathological findings of renal tissue induced by oxidative stress due to different concentrations of fluoride.

Oncotarget·2017
Same author

GC-FID determination of tetramethylpyrazine and acetoin in vinegars and quantifying the dependence of tetramethylpyrazine on acetoin and ammonium.

Food chemistry·2017
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 10, 2025

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.2K

Design and Implementation of Low-Complexity Multiple Symbol Detection Algorithm Using Hybrid Stochastic Computing in

Yukai Liu1, Rongke Liu1,2, Kairui Tian1

  • 1School of Electronic and Information Engineering, Beihang University, Beijing 100191, China.

Entropy (Basel, Switzerland)
|April 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel hybrid stochastic computing (SC) architecture for the Multiple Symbol Detection (MSD) algorithm. The new design significantly reduces hardware complexity while maintaining accurate signal detection in Frequency Modulation (FM) systems.

Keywords:
aircraft wireless communicationshybrid stochastic computingmultiple symbol detectionpipelinestochastic adder

More Related Videos

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.1K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

455

Related Experiment Videos

Last Updated: May 10, 2025

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.2K
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.1K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

455

Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Computer Architecture

Background:

  • Frequency Modulation (FM) technology is crucial for aircraft wireless communications due to its robustness against Doppler shifts.
  • The Multiple Symbol Detection (MSD) algorithm enhances FM demodulation but suffers from high computational complexity and hardware overhead.
  • Existing MSD implementations require substantial hardware resources, limiting their practical application in resource-constrained environments.

Purpose of the Study:

  • To propose a novel Multiple Symbol Detection (MSD) architecture utilizing hybrid stochastic computing (SC) to reduce hardware complexity.
  • To maintain signal detection accuracy comparable to traditional methods while significantly lowering resource requirements.
  • To address the computational bottleneck in MSD by optimizing correlation and symbol decision processes.

Main Methods:

  • Developed a low-complexity, stochastic computing (SC)-based unit for efficient complex correlation calculations.
  • Integrated a flexible, scalable stochastic adder with an adjustable scaling factor for enhanced correlation distinguishability.
  • Designed a binary computing-based pipeline architecture for the serial execution of the symbol decision process, leveraging SC's low update rate.

Main Results:

  • The proposed hybrid SC-based MSD architecture achieves a bit error rate comparable to 8-bit quantization MSD implementations.
  • Significant hardware resource reduction was observed: 69% for 3-symbol, 45% for 5-symbol, and 36% for 7-symbol MSD algorithms.
  • The SC-based correlation unit and pipeline architecture effectively minimize computational load and hardware overhead.

Conclusions:

  • Hybrid stochastic computing offers a viable solution for developing low-complexity, high-performance MSD architectures.
  • The proposed architecture provides a significant reduction in hardware resources without compromising signal detection accuracy.
  • This approach is well-suited for resource-limited applications in aircraft wireless communications and other FM systems.