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$3 USD / hora
Bandera de PAKISTAN
rawalpindi, pakistan
$3 USD / hora
Aquí son las 12:01 a. m.
Se unió el marzo 9, 2015
1 Recomendación

Noman A.

@N0omi

 5,0 (2 comentarios)
2,7
2,7
100%
100%
$3 USD / hora
Bandera de PAKISTAN
rawalpindi, pakistan
$3 USD / hora
100 %
Trabajos finalizados
100 %
Dentro del presupuesto
77 %
A tiempo
40 %
Tasa de recontratación

i have done electrical engineering specializations in telecommunications form UET Taxilla Pakistan..

hand on experience on matlab,, developed face recognition algorithm in matlab. developed fire extinguisher robot bases on matlab. Implement wireless communication techniques like PSK , ASK etc on matlab
Freelancer Matlab and Mathematica Engineers Pakistan
Ver todo Matlab and Mathematica Engineers en Pakistan

Contacta Noman A. sobre tu trabajo

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Portafolio

2386986
The main goal of this project is to implement the wireless channel coding schemes on MATLAB and check the response against the SNR, synchronization , ROOT raised cosine filter , eye diagram etc etc. Although these techniques are already implement in MATLAB .But to get more in sight in it my tutor didn't allow me to use a built in function.So i have to developed my own algorithm for these technique which i successfully implement for the below schemes . 1)Pulse-code modulation (PCM) 2)Amplitude-shift keying (ASK) 3)Amplitude and phase-shift keying (APSK) 4)Frequency-shift keying (FSK) 5)Phase-shift keying (PSK) 6)Quadrature amplitude modulation (QAM) i was implemented modulation and demodulation for all the above schemes , Now i have a deep knowledge of all the channel coding schemes and know how its work and how it implemented in MATLAB too. I know the effect of SNR ans synchronization of system . NPSK modulation code is attached for demo.
Wireless Channels Coding Schemes
2383334
Autonomous robot using MATLAB and MICROCONTROLLER.
Autonomous robot using MATLAB and MICROCONTROLLER.
Autonomous robot using MATLAB and MICROCONTROLLER.
2381606
The goal of this project is to detect and locate human faces in a color image. The objective was to design and implement a face detector in MATLAB that will detect human faces in an image.The problem of face detection has been studied extensively. A wide spectrum of techniques have been used including color analysis, template matching, neural networks, support vector machines (SVM), maximal rejection classification and model based detection. Our method uses rejection based classification. The face detector consists of a set of weak classifiers that sequentially reject non-face regions. First, the non-skin color regions are rejected using color segmentation. A set of morphological operations are then applied to filter the clutter resulting from the previous step. Finally, template matching is used to detect zero or more faces in each connected region. A block diagram of the detector is shown below
Face Detection Project
The goal of this project is to detect and locate human faces in a color image. The objective was to design and implement a face detector in MATLAB that will detect human faces in an image.The problem of face detection has been studied extensively. A wide spectrum of techniques have been used including color analysis, template matching, neural networks, support vector machines (SVM), maximal rejection classification and model based detection. Our method uses rejection based classification. The face detector consists of a set of weak classifiers that sequentially reject non-face regions. First, the non-skin color regions are rejected using color segmentation. A set of morphological operations are then applied to filter the clutter resulting from the previous step. Finally, template matching is used to detect zero or more faces in each connected region. A block diagram of the detector is shown below
Face Detection Project
2386986
The main goal of this project is to implement the wireless channel coding schemes on MATLAB and check the response against the SNR, synchronization , ROOT raised cosine filter , eye diagram etc etc. Although these techniques are already implement in MATLAB .But to get more in sight in it my tutor didn't allow me to use a built in function.So i have to developed my own algorithm for these technique which i successfully implement for the below schemes . 1)Pulse-code modulation (PCM) 2)Amplitude-shift keying (ASK) 3)Amplitude and phase-shift keying (APSK) 4)Frequency-shift keying (FSK) 5)Phase-shift keying (PSK) 6)Quadrature amplitude modulation (QAM) i was implemented modulation and demodulation for all the above schemes , Now i have a deep knowledge of all the channel coding schemes and know how its work and how it implemented in MATLAB too. I know the effect of SNR ans synchronization of system . NPSK modulation code is attached for demo.
Wireless Channels Coding Schemes
2383334
Autonomous robot using MATLAB and MICROCONTROLLER.
Autonomous robot using MATLAB and MICROCONTROLLER.
Autonomous robot using MATLAB and MICROCONTROLLER.
2381606
The goal of this project is to detect and locate human faces in a color image. The objective was to design and implement a face detector in MATLAB that will detect human faces in an image.The problem of face detection has been studied extensively. A wide spectrum of techniques have been used including color analysis, template matching, neural networks, support vector machines (SVM), maximal rejection classification and model based detection. Our method uses rejection based classification. The face detector consists of a set of weak classifiers that sequentially reject non-face regions. First, the non-skin color regions are rejected using color segmentation. A set of morphological operations are then applied to filter the clutter resulting from the previous step. Finally, template matching is used to detect zero or more faces in each connected region. A block diagram of the detector is shown below
Face Detection Project
The goal of this project is to detect and locate human faces in a color image. The objective was to design and implement a face detector in MATLAB that will detect human faces in an image.The problem of face detection has been studied extensively. A wide spectrum of techniques have been used including color analysis, template matching, neural networks, support vector machines (SVM), maximal rejection classification and model based detection. Our method uses rejection based classification. The face detector consists of a set of weak classifiers that sequentially reject non-face regions. First, the non-skin color regions are rejected using color segmentation. A set of morphological operations are then applied to filter the clutter resulting from the previous step. Finally, template matching is used to detect zero or more faces in each connected region. A block diagram of the detector is shown below
Face Detection Project

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5,0
$10,00 USD
Project for N0omi
good employee
Electronics
Matlab and Mathematica
Microcontroller
Electrical Engineering
+1 más
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Bandera de Mulhem B.
@mulhamnb
•
hace 8 años
5,0
$33,00 USD
Matlab Simulation of communication system---1
Nice to work with u..a hardworking freelancr with good knowledge in matlab and communication. ..would like to hire u again....A++++
Electronics
Matlab and Mathematica
Electrical Engineering
Telecommunications Engineering
Avatar del usuario
Bandera de Sujith K.
@sujithkuroor
•
hace 8 años

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Principales habilidades

Matlab and Mathematica 6
Electronics 5
Electrical Engineering 5
Telecommunications Engineering 5
Microcontroller 4

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