SlideShare a Scribd company logo
Parametric Study on Signal
Reconstruction in Wireless Capsule
Endoscopy using Compressive Sensing
Oka Danil Saputra, Soo Young Shin
Wireless & Emerging Networking System (WENS) Laboratory,
School of Electronic Engineering,
Kumoh National Institute of Technology, Gumi, South Korea.
1
Winter Conference The Korean Institute of Communication and Information Sciences
Gangwon- South Korea,
22nd January 2015.
Wireless Capsule Endoscopy
2
Figure source: http://wens.kumoh.ac.kr/
Shannon-Nyquist Sampling
Source: http://www.brainshark.com
Compressive Sensing
Signal 𝑥
Sparsity
Measurement
Matrix
Measurement
Vector
Source: Donoho, D.L., "Compressed sensing," Information Theory, IEEE Transactions on, vol.52, no.4, pp.1289-1306, April 2006.
Measurement
Vector
Recover signal
Signal 𝑥
• CS can recover signal and image with fewer sample.
• Reduce power consumption.
Parametric in Compressive Sensing
x =
Source: Hong Huang, Satyajayant Misra, Wei Tang, Hajar Barani, Hussein Al-Azzawi, "Applications of Compressed Sensing in
Communications Networks," May 2013, (http://arxiv.org/abs/1305.3002).
Spark Φ = rank Φ + 1 [1]
The main function of spark is to check the
sparsity of input signal noiseless.
The main function of MIP is to check the
how many measurement is needed.
The main function of RIP is to check the
sparsity of input signal with noise.
amount of noise
𝑘-sparse
N x 1N x N
N x 1 M x 1
N x 1
Proposed Scheme
6
Simulation Parameters and Result
7
Parameters Value
Length of Signal (N) 100
Modulation type BPSK, QPSK
Iteration 100 times
Noise (n) AWGN
SNR 10 dB
𝑀𝐴𝐸𝑟𝑒𝑐𝑜𝑛𝑡𝑟𝑢𝑐𝑡𝑖𝑜𝑛 =
1
𝐼
𝑖=1
𝐼
1
𝑁
𝑗=1
𝑁
𝑥𝑗 − 𝑥𝑗
𝑥𝑗: Actual signal
𝑥𝑗 : Estimation signal
N : Maximum Length of signal
I: Maximum number of iteration
Conclusions
• The parametric study of Compressive Sensing is evaluated in
the paper.
• In wireless communication, the channel effect between WCE
and receiver is investigated.
8
This research was supported by the MSIP (Ministry of
Science, ICT and Future Planning), Korea, under the Global
IT Talent support program (NIPA-2014-H0904-14-1005)

More Related Content

What's hot

Research Poster_LEDFab2
Research Poster_LEDFab2Research Poster_LEDFab2
Research Poster_LEDFab2
Catherine O'Hearn
 
Chapter 5 applications of neural networks
Chapter 5           applications of neural networksChapter 5           applications of neural networks
Chapter 5 applications of neural networks
Punit Saini
 
F33022028
F33022028F33022028
F33022028
IJERA Editor
 
Ac36167172
Ac36167172Ac36167172
Ac36167172
IJERA Editor
 
Invited Talk at Sree Vidyaniketan Engineering College
Invited Talk at Sree Vidyaniketan Engineering CollegeInvited Talk at Sree Vidyaniketan Engineering College
Invited Talk at Sree Vidyaniketan Engineering College
Ferdin Joe John Joseph PhD
 
A New Approach to Video Compression using 3D-DCT
A New Approach to Video Compression using 3D-DCTA New Approach to Video Compression using 3D-DCT
A New Approach to Video Compression using 3D-DCT
Shanmuga Priyan Thiagarajan
 
Development of real-time indoor human tracking system using LoRa technology
Development of real-time indoor human tracking system using LoRa technology Development of real-time indoor human tracking system using LoRa technology
Development of real-time indoor human tracking system using LoRa technology
IJECEIAES
 
Reflectivity Parameter Extraction from RADAR Images Using Back Propagation Al...
Reflectivity Parameter Extraction from RADAR Images Using Back Propagation Al...Reflectivity Parameter Extraction from RADAR Images Using Back Propagation Al...
Reflectivity Parameter Extraction from RADAR Images Using Back Propagation Al...
IJECEIAES
 
Analytical framework for optimized feature extraction for upgrading occupancy...
Analytical framework for optimized feature extraction for upgrading occupancy...Analytical framework for optimized feature extraction for upgrading occupancy...
Analytical framework for optimized feature extraction for upgrading occupancy...
IJECEIAES
 
Amazing science innovation
Amazing science innovation Amazing science innovation
Amazing science innovation
Neeraj Rawat
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural network
Alexander Decker
 
Sensor tasking and control
Sensor tasking and controlSensor tasking and control
Sensor tasking and control
chitra raju
 
V01 i010405
V01 i010405V01 i010405
V01 i010405
IJARBEST JOURNAL
 
Design and Development of a Shortwave near Infrared Spectroscopy using NIR LE...
Design and Development of a Shortwave near Infrared Spectroscopy using NIR LE...Design and Development of a Shortwave near Infrared Spectroscopy using NIR LE...
Design and Development of a Shortwave near Infrared Spectroscopy using NIR LE...
IJECEIAES
 
Geometric_positioning (KTH-5392's conflicted copy 2014-03-05)
Geometric_positioning (KTH-5392's conflicted copy 2014-03-05)Geometric_positioning (KTH-5392's conflicted copy 2014-03-05)
Geometric_positioning (KTH-5392's conflicted copy 2014-03-05)
M. Reza Gholami
 
Indranil Acharya Resume
Indranil Acharya ResumeIndranil Acharya Resume
Indranil Acharya Resume
Indranil Acharya
 
Peer Graded Mini Project- Nanosensors_rev3
Peer Graded Mini Project- Nanosensors_rev3Peer Graded Mini Project- Nanosensors_rev3
Peer Graded Mini Project- Nanosensors_rev3
Shubham Sinha
 
Optimum Sensor Node Localization in Wireless Sensor Networks
Optimum Sensor Node Localization in Wireless Sensor NetworksOptimum Sensor Node Localization in Wireless Sensor Networks
Optimum Sensor Node Localization in Wireless Sensor Networks
paperpublications3
 
IRJET-Sound-Quality Predict for Medium Cooling Fan Noise based on BP Neural N...
IRJET-Sound-Quality Predict for Medium Cooling Fan Noise based on BP Neural N...IRJET-Sound-Quality Predict for Medium Cooling Fan Noise based on BP Neural N...
IRJET-Sound-Quality Predict for Medium Cooling Fan Noise based on BP Neural N...
IRJET Journal
 
Multi sensor-fusion
Multi sensor-fusionMulti sensor-fusion
Multi sensor-fusion
万言 李
 

What's hot (20)

Research Poster_LEDFab2
Research Poster_LEDFab2Research Poster_LEDFab2
Research Poster_LEDFab2
 
Chapter 5 applications of neural networks
Chapter 5           applications of neural networksChapter 5           applications of neural networks
Chapter 5 applications of neural networks
 
F33022028
F33022028F33022028
F33022028
 
Ac36167172
Ac36167172Ac36167172
Ac36167172
 
Invited Talk at Sree Vidyaniketan Engineering College
Invited Talk at Sree Vidyaniketan Engineering CollegeInvited Talk at Sree Vidyaniketan Engineering College
Invited Talk at Sree Vidyaniketan Engineering College
 
A New Approach to Video Compression using 3D-DCT
A New Approach to Video Compression using 3D-DCTA New Approach to Video Compression using 3D-DCT
A New Approach to Video Compression using 3D-DCT
 
Development of real-time indoor human tracking system using LoRa technology
Development of real-time indoor human tracking system using LoRa technology Development of real-time indoor human tracking system using LoRa technology
Development of real-time indoor human tracking system using LoRa technology
 
Reflectivity Parameter Extraction from RADAR Images Using Back Propagation Al...
Reflectivity Parameter Extraction from RADAR Images Using Back Propagation Al...Reflectivity Parameter Extraction from RADAR Images Using Back Propagation Al...
Reflectivity Parameter Extraction from RADAR Images Using Back Propagation Al...
 
Analytical framework for optimized feature extraction for upgrading occupancy...
Analytical framework for optimized feature extraction for upgrading occupancy...Analytical framework for optimized feature extraction for upgrading occupancy...
Analytical framework for optimized feature extraction for upgrading occupancy...
 
Amazing science innovation
Amazing science innovation Amazing science innovation
Amazing science innovation
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural network
 
Sensor tasking and control
Sensor tasking and controlSensor tasking and control
Sensor tasking and control
 
V01 i010405
V01 i010405V01 i010405
V01 i010405
 
Design and Development of a Shortwave near Infrared Spectroscopy using NIR LE...
Design and Development of a Shortwave near Infrared Spectroscopy using NIR LE...Design and Development of a Shortwave near Infrared Spectroscopy using NIR LE...
Design and Development of a Shortwave near Infrared Spectroscopy using NIR LE...
 
Geometric_positioning (KTH-5392's conflicted copy 2014-03-05)
Geometric_positioning (KTH-5392's conflicted copy 2014-03-05)Geometric_positioning (KTH-5392's conflicted copy 2014-03-05)
Geometric_positioning (KTH-5392's conflicted copy 2014-03-05)
 
Indranil Acharya Resume
Indranil Acharya ResumeIndranil Acharya Resume
Indranil Acharya Resume
 
Peer Graded Mini Project- Nanosensors_rev3
Peer Graded Mini Project- Nanosensors_rev3Peer Graded Mini Project- Nanosensors_rev3
Peer Graded Mini Project- Nanosensors_rev3
 
Optimum Sensor Node Localization in Wireless Sensor Networks
Optimum Sensor Node Localization in Wireless Sensor NetworksOptimum Sensor Node Localization in Wireless Sensor Networks
Optimum Sensor Node Localization in Wireless Sensor Networks
 
IRJET-Sound-Quality Predict for Medium Cooling Fan Noise based on BP Neural N...
IRJET-Sound-Quality Predict for Medium Cooling Fan Noise based on BP Neural N...IRJET-Sound-Quality Predict for Medium Cooling Fan Noise based on BP Neural N...
IRJET-Sound-Quality Predict for Medium Cooling Fan Noise based on BP Neural N...
 
Multi sensor-fusion
Multi sensor-fusionMulti sensor-fusion
Multi sensor-fusion
 

Viewers also liked

dipositivas de radios en FM
dipositivas de radios en FMdipositivas de radios en FM
dipositivas de radios en FM
TATIANA PRADO PAICO
 
Ppt compressed sensing a tutorial
Ppt compressed sensing a tutorialPpt compressed sensing a tutorial
Ppt compressed sensing a tutorial
Terence Gao
 
Frecuencia modulada (FM) UAS
Frecuencia modulada (FM) UASFrecuencia modulada (FM) UAS
Frecuencia modulada (FM) UAS
Ignacio Velasco
 
Trabajos de fisica: Espectro electromagnetico
Trabajos de fisica: Espectro electromagneticoTrabajos de fisica: Espectro electromagnetico
Trabajos de fisica: Espectro electromagnetico
Cuartomedio2010
 
Modulación AM - PM - FM
Modulación AM - PM - FMModulación AM - PM - FM
Modulación AM - PM - FM
Manuel Carreño (E.Fortuna, Oteima)
 
2.Datos y señales en comunicaciones electrónicas
2.Datos y señales en comunicaciones electrónicas2.Datos y señales en comunicaciones electrónicas
2.Datos y señales en comunicaciones electrónicas
Edison Coimbra G.
 
3.1 Introducción a la transmision por radio
3.1 Introducción a la transmision por radio3.1 Introducción a la transmision por radio
3.1 Introducción a la transmision por radio
Edison Coimbra G.
 
Ondas
OndasOndas
Ondas
rojereba
 

Viewers also liked (8)

dipositivas de radios en FM
dipositivas de radios en FMdipositivas de radios en FM
dipositivas de radios en FM
 
Ppt compressed sensing a tutorial
Ppt compressed sensing a tutorialPpt compressed sensing a tutorial
Ppt compressed sensing a tutorial
 
Frecuencia modulada (FM) UAS
Frecuencia modulada (FM) UASFrecuencia modulada (FM) UAS
Frecuencia modulada (FM) UAS
 
Trabajos de fisica: Espectro electromagnetico
Trabajos de fisica: Espectro electromagneticoTrabajos de fisica: Espectro electromagnetico
Trabajos de fisica: Espectro electromagnetico
 
Modulación AM - PM - FM
Modulación AM - PM - FMModulación AM - PM - FM
Modulación AM - PM - FM
 
2.Datos y señales en comunicaciones electrónicas
2.Datos y señales en comunicaciones electrónicas2.Datos y señales en comunicaciones electrónicas
2.Datos y señales en comunicaciones electrónicas
 
3.1 Introducción a la transmision por radio
3.1 Introducción a la transmision por radio3.1 Introducción a la transmision por radio
3.1 Introducción a la transmision por radio
 
Ondas
OndasOndas
Ondas
 

Similar to Parametric Study on Signal Reconstruction in Wireless Capsule Endoscopy using Compressive Sensing Algorithm.

cv-seyoung
cv-seyoungcv-seyoung
cv-seyoung
SeYoung Yun
 
Cognitive radio
Cognitive radioCognitive radio
Cognitive radio
Neha Singh
 
Cognitive radio network spectrum sensing
Cognitive radio network spectrum sensingCognitive radio network spectrum sensing
Cognitive radio network spectrum sensing
PRATIMAGAIKWAD16
 
TOP 10 MOBILE AND UBIQUITOUS COMPUTING PAPERS:: RECOMMENDED READING – COMPUTE...
TOP 10 MOBILE AND UBIQUITOUS COMPUTING PAPERS:: RECOMMENDED READING – COMPUTE...TOP 10 MOBILE AND UBIQUITOUS COMPUTING PAPERS:: RECOMMENDED READING – COMPUTE...
TOP 10 MOBILE AND UBIQUITOUS COMPUTING PAPERS:: RECOMMENDED READING – COMPUTE...
IJCSES Journal
 
A presentation on "Heterogeneous Hand Guise Classification Based on Surface E...
A presentation on "Heterogeneous Hand Guise Classification Based on Surface E...A presentation on "Heterogeneous Hand Guise Classification Based on Surface E...
A presentation on "Heterogeneous Hand Guise Classification Based on Surface E...
Niloy Sikder
 
Analysis and Comparison of Different Spectrum Sensing Technique for WLAN
Analysis and Comparison of Different Spectrum Sensing Technique for WLANAnalysis and Comparison of Different Spectrum Sensing Technique for WLAN
Analysis and Comparison of Different Spectrum Sensing Technique for WLAN
ijtsrd
 
IRJET- Assessment of Blood Vessel using Fat Cell Acoustics
IRJET-  	  Assessment of Blood Vessel using Fat Cell AcousticsIRJET-  	  Assessment of Blood Vessel using Fat Cell Acoustics
IRJET- Assessment of Blood Vessel using Fat Cell Acoustics
IRJET Journal
 
October 2021: Top Read Articles in Soft Computing
October 2021: Top Read Articles in Soft ComputingOctober 2021: Top Read Articles in Soft Computing
October 2021: Top Read Articles in Soft Computing
ijsc
 
March 2021: Top Read Articles in Soft Computing
March 2021: Top Read Articles in Soft ComputingMarch 2021: Top Read Articles in Soft Computing
March 2021: Top Read Articles in Soft Computing
ijsc
 
IJIFR VOLUME 4 ISSUE 2 SECTION 2 OCTOBER 2016
IJIFR VOLUME 4 ISSUE 2 SECTION 2 OCTOBER 2016IJIFR VOLUME 4 ISSUE 2 SECTION 2 OCTOBER 2016
IJIFR VOLUME 4 ISSUE 2 SECTION 2 OCTOBER 2016
vikas sharma
 
An Efficient Approach for Outlier Detection in Wireless Sensor Network
An Efficient Approach for Outlier Detection in Wireless Sensor NetworkAn Efficient Approach for Outlier Detection in Wireless Sensor Network
An Efficient Approach for Outlier Detection in Wireless Sensor Network
IOSR Journals
 
Harish presentation
Harish presentationHarish presentation
Harish presentation
pikuldash9
 
Efficient Data Gathering with Compressive Sensing in Wireless Sensor Networks
Efficient Data Gathering with Compressive Sensing in Wireless Sensor NetworksEfficient Data Gathering with Compressive Sensing in Wireless Sensor Networks
Efficient Data Gathering with Compressive Sensing in Wireless Sensor Networks
IRJET Journal
 
15UEC804_Project work_second Review.pptx
15UEC804_Project work_second Review.pptx15UEC804_Project work_second Review.pptx
15UEC804_Project work_second Review.pptx
balum34
 
NARCO ANALYSIS AND DEEP LEARNING
NARCO ANALYSIS AND DEEP LEARNINGNARCO ANALYSIS AND DEEP LEARNING
NARCO ANALYSIS AND DEEP LEARNING
IRJET Journal
 
CC NEW
CC NEWCC NEW
final
finalfinal
Routing protocolsin Wireless sensor network
Routing protocolsin Wireless sensor network Routing protocolsin Wireless sensor network
Routing protocolsin Wireless sensor network
dilip pareek
 
International Journal of Advanced Smart Sensor Network Systems ( IJASSN )
International Journal of Advanced Smart Sensor Network Systems ( IJASSN )International Journal of Advanced Smart Sensor Network Systems ( IJASSN )
International Journal of Advanced Smart Sensor Network Systems ( IJASSN )
ijassn
 
Plant disease detection using machine learning algorithm-1.pptx
Plant disease detection using machine learning algorithm-1.pptxPlant disease detection using machine learning algorithm-1.pptx
Plant disease detection using machine learning algorithm-1.pptx
RummanHajira
 

Similar to Parametric Study on Signal Reconstruction in Wireless Capsule Endoscopy using Compressive Sensing Algorithm. (20)

cv-seyoung
cv-seyoungcv-seyoung
cv-seyoung
 
Cognitive radio
Cognitive radioCognitive radio
Cognitive radio
 
Cognitive radio network spectrum sensing
Cognitive radio network spectrum sensingCognitive radio network spectrum sensing
Cognitive radio network spectrum sensing
 
TOP 10 MOBILE AND UBIQUITOUS COMPUTING PAPERS:: RECOMMENDED READING – COMPUTE...
TOP 10 MOBILE AND UBIQUITOUS COMPUTING PAPERS:: RECOMMENDED READING – COMPUTE...TOP 10 MOBILE AND UBIQUITOUS COMPUTING PAPERS:: RECOMMENDED READING – COMPUTE...
TOP 10 MOBILE AND UBIQUITOUS COMPUTING PAPERS:: RECOMMENDED READING – COMPUTE...
 
A presentation on "Heterogeneous Hand Guise Classification Based on Surface E...
A presentation on "Heterogeneous Hand Guise Classification Based on Surface E...A presentation on "Heterogeneous Hand Guise Classification Based on Surface E...
A presentation on "Heterogeneous Hand Guise Classification Based on Surface E...
 
Analysis and Comparison of Different Spectrum Sensing Technique for WLAN
Analysis and Comparison of Different Spectrum Sensing Technique for WLANAnalysis and Comparison of Different Spectrum Sensing Technique for WLAN
Analysis and Comparison of Different Spectrum Sensing Technique for WLAN
 
IRJET- Assessment of Blood Vessel using Fat Cell Acoustics
IRJET-  	  Assessment of Blood Vessel using Fat Cell AcousticsIRJET-  	  Assessment of Blood Vessel using Fat Cell Acoustics
IRJET- Assessment of Blood Vessel using Fat Cell Acoustics
 
October 2021: Top Read Articles in Soft Computing
October 2021: Top Read Articles in Soft ComputingOctober 2021: Top Read Articles in Soft Computing
October 2021: Top Read Articles in Soft Computing
 
March 2021: Top Read Articles in Soft Computing
March 2021: Top Read Articles in Soft ComputingMarch 2021: Top Read Articles in Soft Computing
March 2021: Top Read Articles in Soft Computing
 
IJIFR VOLUME 4 ISSUE 2 SECTION 2 OCTOBER 2016
IJIFR VOLUME 4 ISSUE 2 SECTION 2 OCTOBER 2016IJIFR VOLUME 4 ISSUE 2 SECTION 2 OCTOBER 2016
IJIFR VOLUME 4 ISSUE 2 SECTION 2 OCTOBER 2016
 
An Efficient Approach for Outlier Detection in Wireless Sensor Network
An Efficient Approach for Outlier Detection in Wireless Sensor NetworkAn Efficient Approach for Outlier Detection in Wireless Sensor Network
An Efficient Approach for Outlier Detection in Wireless Sensor Network
 
Harish presentation
Harish presentationHarish presentation
Harish presentation
 
Efficient Data Gathering with Compressive Sensing in Wireless Sensor Networks
Efficient Data Gathering with Compressive Sensing in Wireless Sensor NetworksEfficient Data Gathering with Compressive Sensing in Wireless Sensor Networks
Efficient Data Gathering with Compressive Sensing in Wireless Sensor Networks
 
15UEC804_Project work_second Review.pptx
15UEC804_Project work_second Review.pptx15UEC804_Project work_second Review.pptx
15UEC804_Project work_second Review.pptx
 
NARCO ANALYSIS AND DEEP LEARNING
NARCO ANALYSIS AND DEEP LEARNINGNARCO ANALYSIS AND DEEP LEARNING
NARCO ANALYSIS AND DEEP LEARNING
 
CC NEW
CC NEWCC NEW
CC NEW
 
final
finalfinal
final
 
Routing protocolsin Wireless sensor network
Routing protocolsin Wireless sensor network Routing protocolsin Wireless sensor network
Routing protocolsin Wireless sensor network
 
International Journal of Advanced Smart Sensor Network Systems ( IJASSN )
International Journal of Advanced Smart Sensor Network Systems ( IJASSN )International Journal of Advanced Smart Sensor Network Systems ( IJASSN )
International Journal of Advanced Smart Sensor Network Systems ( IJASSN )
 
Plant disease detection using machine learning algorithm-1.pptx
Plant disease detection using machine learning algorithm-1.pptxPlant disease detection using machine learning algorithm-1.pptx
Plant disease detection using machine learning algorithm-1.pptx
 

More from Oka Danil

Remote Monitoring of Lead-Acid Battery Based on WLAN
Remote Monitoring of Lead-Acid Battery Based on WLANRemote Monitoring of Lead-Acid Battery Based on WLAN
Remote Monitoring of Lead-Acid Battery Based on WLAN
Oka Danil
 
Network-based Wireless for Remote Monitoring Lead-Acid Battery
Network-based Wireless for Remote Monitoring Lead-Acid BatteryNetwork-based Wireless for Remote Monitoring Lead-Acid Battery
Network-based Wireless for Remote Monitoring Lead-Acid Battery
Oka Danil
 
Superframe Scheduling with Beacon Enable Mode in Wireless Industrial Networks
Superframe Scheduling with Beacon Enable Mode in Wireless Industrial NetworksSuperframe Scheduling with Beacon Enable Mode in Wireless Industrial Networks
Superframe Scheduling with Beacon Enable Mode in Wireless Industrial Networks
Oka Danil
 
Deadline Monotonic Scheduling to Reduce Overhead of Superframe in ISA100.11a
Deadline Monotonic Scheduling to Reduce Overhead of Superframe in ISA100.11aDeadline Monotonic Scheduling to Reduce Overhead of Superframe in ISA100.11a
Deadline Monotonic Scheduling to Reduce Overhead of Superframe in ISA100.11a
Oka Danil
 
Wireless communication class_oka_131218
Wireless communication class_oka_131218Wireless communication class_oka_131218
Wireless communication class_oka_131218
Oka Danil
 
Csmaca
CsmacaCsmaca
Csmaca
Oka Danil
 
The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)
Oka Danil
 
Modeling and Roll, Pitch and Yaw Simulation of Quadrotor.
Modeling and Roll, Pitch and Yaw Simulation of Quadrotor.Modeling and Roll, Pitch and Yaw Simulation of Quadrotor.
Modeling and Roll, Pitch and Yaw Simulation of Quadrotor.
Oka Danil
 
Wireless Channels Capacity
Wireless Channels CapacityWireless Channels Capacity
Wireless Channels Capacity
Oka Danil
 

More from Oka Danil (9)

Remote Monitoring of Lead-Acid Battery Based on WLAN
Remote Monitoring of Lead-Acid Battery Based on WLANRemote Monitoring of Lead-Acid Battery Based on WLAN
Remote Monitoring of Lead-Acid Battery Based on WLAN
 
Network-based Wireless for Remote Monitoring Lead-Acid Battery
Network-based Wireless for Remote Monitoring Lead-Acid BatteryNetwork-based Wireless for Remote Monitoring Lead-Acid Battery
Network-based Wireless for Remote Monitoring Lead-Acid Battery
 
Superframe Scheduling with Beacon Enable Mode in Wireless Industrial Networks
Superframe Scheduling with Beacon Enable Mode in Wireless Industrial NetworksSuperframe Scheduling with Beacon Enable Mode in Wireless Industrial Networks
Superframe Scheduling with Beacon Enable Mode in Wireless Industrial Networks
 
Deadline Monotonic Scheduling to Reduce Overhead of Superframe in ISA100.11a
Deadline Monotonic Scheduling to Reduce Overhead of Superframe in ISA100.11aDeadline Monotonic Scheduling to Reduce Overhead of Superframe in ISA100.11a
Deadline Monotonic Scheduling to Reduce Overhead of Superframe in ISA100.11a
 
Wireless communication class_oka_131218
Wireless communication class_oka_131218Wireless communication class_oka_131218
Wireless communication class_oka_131218
 
Csmaca
CsmacaCsmaca
Csmaca
 
The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)
 
Modeling and Roll, Pitch and Yaw Simulation of Quadrotor.
Modeling and Roll, Pitch and Yaw Simulation of Quadrotor.Modeling and Roll, Pitch and Yaw Simulation of Quadrotor.
Modeling and Roll, Pitch and Yaw Simulation of Quadrotor.
 
Wireless Channels Capacity
Wireless Channels CapacityWireless Channels Capacity
Wireless Channels Capacity
 

Recently uploaded

Presentation slide on DESIGN AND FABRICATION OF MOBILE CONTROLLED DRAINAGE.pptx
Presentation slide on DESIGN AND FABRICATION OF MOBILE CONTROLLED DRAINAGE.pptxPresentation slide on DESIGN AND FABRICATION OF MOBILE CONTROLLED DRAINAGE.pptx
Presentation slide on DESIGN AND FABRICATION OF MOBILE CONTROLLED DRAINAGE.pptx
Er. Kushal Ghimire
 
ECONOMIC FEASIBILITY AND ENVIRONMENTAL IMPLICATIONS OF PERMEABLE PAVEMENT IN ...
ECONOMIC FEASIBILITY AND ENVIRONMENTAL IMPLICATIONS OF PERMEABLE PAVEMENT IN ...ECONOMIC FEASIBILITY AND ENVIRONMENTAL IMPLICATIONS OF PERMEABLE PAVEMENT IN ...
ECONOMIC FEASIBILITY AND ENVIRONMENTAL IMPLICATIONS OF PERMEABLE PAVEMENT IN ...
Fady M. A Hassouna
 
DPWH - DEPARTMENT OF PUBLIC WORKS AND HIGHWAYS
DPWH - DEPARTMENT OF PUBLIC WORKS AND HIGHWAYSDPWH - DEPARTMENT OF PUBLIC WORKS AND HIGHWAYS
DPWH - DEPARTMENT OF PUBLIC WORKS AND HIGHWAYS
RyanMacayan
 
Generative AI and Large Language Models (LLMs)
Generative AI and Large Language Models (LLMs)Generative AI and Large Language Models (LLMs)
Generative AI and Large Language Models (LLMs)
rkpv2002
 
If we're running two pumps, why aren't we getting twice as much flow? v.17
If we're running two pumps, why aren't we getting twice as much flow? v.17If we're running two pumps, why aren't we getting twice as much flow? v.17
If we're running two pumps, why aren't we getting twice as much flow? v.17
Brian Gongol
 
# Smart Parking Management System.pptx using IOT
# Smart Parking Management System.pptx using IOT# Smart Parking Management System.pptx using IOT
# Smart Parking Management System.pptx using IOT
Yesh20
 
High Profile Girls Call Delhi 9711199171 Provide Best And Top Girl Service An...
High Profile Girls Call Delhi 9711199171 Provide Best And Top Girl Service An...High Profile Girls Call Delhi 9711199171 Provide Best And Top Girl Service An...
High Profile Girls Call Delhi 9711199171 Provide Best And Top Girl Service An...
janvikumar4133
 
1. DEE 1203 ELECTRICAL ENGINEERING DRAWING.pdf
1. DEE 1203 ELECTRICAL ENGINEERING DRAWING.pdf1. DEE 1203 ELECTRICAL ENGINEERING DRAWING.pdf
1. DEE 1203 ELECTRICAL ENGINEERING DRAWING.pdf
AsiimweJulius2
 
UNIT 1 - INTRODUCTION ON DISASTER MANAGEMENT.ppt
UNIT 1 - INTRODUCTION ON DISASTER MANAGEMENT.pptUNIT 1 - INTRODUCTION ON DISASTER MANAGEMENT.ppt
UNIT 1 - INTRODUCTION ON DISASTER MANAGEMENT.ppt
shanmugamram247
 
Disaster Management and Mitigation presentation
Disaster Management and Mitigation presentationDisaster Management and Mitigation presentation
Disaster Management and Mitigation presentation
RajaRamannaTarigoppu
 
System Analysis and Design in a changing world 5th edition
System Analysis and Design in a changing world 5th editionSystem Analysis and Design in a changing world 5th edition
System Analysis and Design in a changing world 5th edition
mnassar75g
 
Sustainable construction is the use of renewable and recyclable materials in ...
Sustainable construction is the use of renewable and recyclable materials in ...Sustainable construction is the use of renewable and recyclable materials in ...
Sustainable construction is the use of renewable and recyclable materials in ...
RohitGhulanavar2
 
Fix Production Bugs Quickly - The Power of Structured Logging in Ruby on Rail...
Fix Production Bugs Quickly - The Power of Structured Logging in Ruby on Rail...Fix Production Bugs Quickly - The Power of Structured Logging in Ruby on Rail...
Fix Production Bugs Quickly - The Power of Structured Logging in Ruby on Rail...
John Gallagher
 
Cisco Intersight Technical OverView.pptx
Cisco Intersight Technical OverView.pptxCisco Intersight Technical OverView.pptx
Cisco Intersight Technical OverView.pptx
Duy Nguyen
 
charting the development of the autonomous train
charting the development of the autonomous traincharting the development of the autonomous train
charting the development of the autonomous train
huseindihon
 
AI INTRODUCTION Artificial intelligence.ppt
AI INTRODUCTION Artificial intelligence.pptAI INTRODUCTION Artificial intelligence.ppt
AI INTRODUCTION Artificial intelligence.ppt
GeethaAL
 
OME754 – INDUSTRIAL SAFETY - unit notes.pptx
OME754 – INDUSTRIAL SAFETY - unit notes.pptxOME754 – INDUSTRIAL SAFETY - unit notes.pptx
OME754 – INDUSTRIAL SAFETY - unit notes.pptx
shanmugamram247
 
ISO 9001 - 2015 Quality Management Awareness.pdf
ISO 9001 - 2015 Quality Management Awareness.pdfISO 9001 - 2015 Quality Management Awareness.pdf
ISO 9001 - 2015 Quality Management Awareness.pdf
InfoDqms
 
李易峰祝绪丹做爱视频流出【网芷:ht28.co】可爱学生妹>>>[网趾:ht28.co】]<<<
李易峰祝绪丹做爱视频流出【网芷:ht28.co】可爱学生妹>>>[网趾:ht28.co】]<<<李易峰祝绪丹做爱视频流出【网芷:ht28.co】可爱学生妹>>>[网趾:ht28.co】]<<<
李易峰祝绪丹做爱视频流出【网芷:ht28.co】可爱学生妹>>>[网趾:ht28.co】]<<<
amzhoxvzidbke
 
EAAP2023 : Durabilité et services écosystémiques de l'élevage ovin de montagne
EAAP2023 : Durabilité et services écosystémiques de l'élevage ovin de montagneEAAP2023 : Durabilité et services écosystémiques de l'élevage ovin de montagne
EAAP2023 : Durabilité et services écosystémiques de l'élevage ovin de montagne
idelewebmestre
 

Recently uploaded (20)

Presentation slide on DESIGN AND FABRICATION OF MOBILE CONTROLLED DRAINAGE.pptx
Presentation slide on DESIGN AND FABRICATION OF MOBILE CONTROLLED DRAINAGE.pptxPresentation slide on DESIGN AND FABRICATION OF MOBILE CONTROLLED DRAINAGE.pptx
Presentation slide on DESIGN AND FABRICATION OF MOBILE CONTROLLED DRAINAGE.pptx
 
ECONOMIC FEASIBILITY AND ENVIRONMENTAL IMPLICATIONS OF PERMEABLE PAVEMENT IN ...
ECONOMIC FEASIBILITY AND ENVIRONMENTAL IMPLICATIONS OF PERMEABLE PAVEMENT IN ...ECONOMIC FEASIBILITY AND ENVIRONMENTAL IMPLICATIONS OF PERMEABLE PAVEMENT IN ...
ECONOMIC FEASIBILITY AND ENVIRONMENTAL IMPLICATIONS OF PERMEABLE PAVEMENT IN ...
 
DPWH - DEPARTMENT OF PUBLIC WORKS AND HIGHWAYS
DPWH - DEPARTMENT OF PUBLIC WORKS AND HIGHWAYSDPWH - DEPARTMENT OF PUBLIC WORKS AND HIGHWAYS
DPWH - DEPARTMENT OF PUBLIC WORKS AND HIGHWAYS
 
Generative AI and Large Language Models (LLMs)
Generative AI and Large Language Models (LLMs)Generative AI and Large Language Models (LLMs)
Generative AI and Large Language Models (LLMs)
 
If we're running two pumps, why aren't we getting twice as much flow? v.17
If we're running two pumps, why aren't we getting twice as much flow? v.17If we're running two pumps, why aren't we getting twice as much flow? v.17
If we're running two pumps, why aren't we getting twice as much flow? v.17
 
# Smart Parking Management System.pptx using IOT
# Smart Parking Management System.pptx using IOT# Smart Parking Management System.pptx using IOT
# Smart Parking Management System.pptx using IOT
 
High Profile Girls Call Delhi 9711199171 Provide Best And Top Girl Service An...
High Profile Girls Call Delhi 9711199171 Provide Best And Top Girl Service An...High Profile Girls Call Delhi 9711199171 Provide Best And Top Girl Service An...
High Profile Girls Call Delhi 9711199171 Provide Best And Top Girl Service An...
 
1. DEE 1203 ELECTRICAL ENGINEERING DRAWING.pdf
1. DEE 1203 ELECTRICAL ENGINEERING DRAWING.pdf1. DEE 1203 ELECTRICAL ENGINEERING DRAWING.pdf
1. DEE 1203 ELECTRICAL ENGINEERING DRAWING.pdf
 
UNIT 1 - INTRODUCTION ON DISASTER MANAGEMENT.ppt
UNIT 1 - INTRODUCTION ON DISASTER MANAGEMENT.pptUNIT 1 - INTRODUCTION ON DISASTER MANAGEMENT.ppt
UNIT 1 - INTRODUCTION ON DISASTER MANAGEMENT.ppt
 
Disaster Management and Mitigation presentation
Disaster Management and Mitigation presentationDisaster Management and Mitigation presentation
Disaster Management and Mitigation presentation
 
System Analysis and Design in a changing world 5th edition
System Analysis and Design in a changing world 5th editionSystem Analysis and Design in a changing world 5th edition
System Analysis and Design in a changing world 5th edition
 
Sustainable construction is the use of renewable and recyclable materials in ...
Sustainable construction is the use of renewable and recyclable materials in ...Sustainable construction is the use of renewable and recyclable materials in ...
Sustainable construction is the use of renewable and recyclable materials in ...
 
Fix Production Bugs Quickly - The Power of Structured Logging in Ruby on Rail...
Fix Production Bugs Quickly - The Power of Structured Logging in Ruby on Rail...Fix Production Bugs Quickly - The Power of Structured Logging in Ruby on Rail...
Fix Production Bugs Quickly - The Power of Structured Logging in Ruby on Rail...
 
Cisco Intersight Technical OverView.pptx
Cisco Intersight Technical OverView.pptxCisco Intersight Technical OverView.pptx
Cisco Intersight Technical OverView.pptx
 
charting the development of the autonomous train
charting the development of the autonomous traincharting the development of the autonomous train
charting the development of the autonomous train
 
AI INTRODUCTION Artificial intelligence.ppt
AI INTRODUCTION Artificial intelligence.pptAI INTRODUCTION Artificial intelligence.ppt
AI INTRODUCTION Artificial intelligence.ppt
 
OME754 – INDUSTRIAL SAFETY - unit notes.pptx
OME754 – INDUSTRIAL SAFETY - unit notes.pptxOME754 – INDUSTRIAL SAFETY - unit notes.pptx
OME754 – INDUSTRIAL SAFETY - unit notes.pptx
 
ISO 9001 - 2015 Quality Management Awareness.pdf
ISO 9001 - 2015 Quality Management Awareness.pdfISO 9001 - 2015 Quality Management Awareness.pdf
ISO 9001 - 2015 Quality Management Awareness.pdf
 
李易峰祝绪丹做爱视频流出【网芷:ht28.co】可爱学生妹>>>[网趾:ht28.co】]<<<
李易峰祝绪丹做爱视频流出【网芷:ht28.co】可爱学生妹>>>[网趾:ht28.co】]<<<李易峰祝绪丹做爱视频流出【网芷:ht28.co】可爱学生妹>>>[网趾:ht28.co】]<<<
李易峰祝绪丹做爱视频流出【网芷:ht28.co】可爱学生妹>>>[网趾:ht28.co】]<<<
 
EAAP2023 : Durabilité et services écosystémiques de l'élevage ovin de montagne
EAAP2023 : Durabilité et services écosystémiques de l'élevage ovin de montagneEAAP2023 : Durabilité et services écosystémiques de l'élevage ovin de montagne
EAAP2023 : Durabilité et services écosystémiques de l'élevage ovin de montagne
 

Parametric Study on Signal Reconstruction in Wireless Capsule Endoscopy using Compressive Sensing Algorithm.

  • 1. Parametric Study on Signal Reconstruction in Wireless Capsule Endoscopy using Compressive Sensing Oka Danil Saputra, Soo Young Shin Wireless & Emerging Networking System (WENS) Laboratory, School of Electronic Engineering, Kumoh National Institute of Technology, Gumi, South Korea. 1 Winter Conference The Korean Institute of Communication and Information Sciences Gangwon- South Korea, 22nd January 2015.
  • 2. Wireless Capsule Endoscopy 2 Figure source: http://wens.kumoh.ac.kr/
  • 4. Compressive Sensing Signal 𝑥 Sparsity Measurement Matrix Measurement Vector Source: Donoho, D.L., "Compressed sensing," Information Theory, IEEE Transactions on, vol.52, no.4, pp.1289-1306, April 2006. Measurement Vector Recover signal Signal 𝑥 • CS can recover signal and image with fewer sample. • Reduce power consumption.
  • 5. Parametric in Compressive Sensing x = Source: Hong Huang, Satyajayant Misra, Wei Tang, Hajar Barani, Hussein Al-Azzawi, "Applications of Compressed Sensing in Communications Networks," May 2013, (http://arxiv.org/abs/1305.3002). Spark Φ = rank Φ + 1 [1] The main function of spark is to check the sparsity of input signal noiseless. The main function of MIP is to check the how many measurement is needed. The main function of RIP is to check the sparsity of input signal with noise. amount of noise 𝑘-sparse N x 1N x N N x 1 M x 1 N x 1
  • 7. Simulation Parameters and Result 7 Parameters Value Length of Signal (N) 100 Modulation type BPSK, QPSK Iteration 100 times Noise (n) AWGN SNR 10 dB 𝑀𝐴𝐸𝑟𝑒𝑐𝑜𝑛𝑡𝑟𝑢𝑐𝑡𝑖𝑜𝑛 = 1 𝐼 𝑖=1 𝐼 1 𝑁 𝑗=1 𝑁 𝑥𝑗 − 𝑥𝑗 𝑥𝑗: Actual signal 𝑥𝑗 : Estimation signal N : Maximum Length of signal I: Maximum number of iteration
  • 8. Conclusions • The parametric study of Compressive Sensing is evaluated in the paper. • In wireless communication, the channel effect between WCE and receiver is investigated. 8 This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the Global IT Talent support program (NIPA-2014-H0904-14-1005)