Freelancer logo How It Works Bla gjennom jobber
Logg inn Registrer deg
Legg ut et prosjekt
UTFORSK
Electrical Engineering
MATLAB
Matlab and Mathematica
Telecommunications Engineering
Wireless
Profilbilde
Du følger nå
Feil med følging av bruker.
Denne brukeren tillater ikke brukere å følge dem.
Du følger allerede denne brukeren.
Medlemskapsplanen din tillater bare 0 følginger. Oppgrader her.
Sluttet å følge
Kunne ikke slutte å følge bruker.
Du har vellykket anbefalt
Kunne ikke anbefale bruker.
Noe gikk galt. Oppdater siden og prøv igjen.
Vellykket bekreftelse av e-post.
Brukeravatar
$10 USD / time
PAKISTANs flagg
islamabad, pakistan
$10 USD / time
Det er for øyeblikket 4:30 a.m. her
Ble med september 23, 2019
2 Anbefalinger

Mubashar S.

@mubashar06

 5,0 (30 omtaler)
5,0
5,0
84%
84%
$10 USD / time
PAKISTANs flagg
islamabad, pakistan
$10 USD / time
97 %
Jobber fullført
88 %
Innenfor budsjett
91 %
I tide
18 %
Gjenansettelsesrate

Matlab Programmer

An Electrical Engineer Specialized in Wireless Communication, With 5+ years of professional Experience in solving Engineering Problems (on Matlab), Digital simulations, Signal and Image Processing.
Freelancer Matlab and Mathematica Engineers Pakistan
Se alle Matlab and Mathematica Engineers i Pakistan

Kontakte Mubashar S. angående jobben din

Logg inn for å diskutere eventuelle detaljer over chat.

Portefølje

6933196
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
6933146
The simulation of adaptive beam former is carried out using the least mean square (LMS) algorithm and recursive least square (RLS) algorithm. It can be seen from simulations that, the RLS convergence is much faster than the LMS convergence.
BEAMFORMING with LMS & RLS
The simulation of adaptive beam former is carried out using the least mean square (LMS) algorithm and recursive least square (RLS) algorithm. It can be seen from simulations that, the RLS convergence is much faster than the LMS convergence.
BEAMFORMING with LMS & RLS
The simulation of adaptive beam former is carried out using the least mean square (LMS) algorithm and recursive least square (RLS) algorithm. It can be seen from simulations that, the RLS convergence is much faster than the LMS convergence.
BEAMFORMING with LMS & RLS
6441225
Multiple modulation formats are detected at the receiver including M-FSK, M-PAM and M-QAM. Sparse-FFT is used to boost the detection time by compromising detection accuracy.
Modulation formats identification using sparse-FFT
Multiple modulation formats are detected at the receiver including M-FSK, M-PAM and M-QAM. Sparse-FFT is used to boost the detection time by compromising detection accuracy.
Modulation formats identification using sparse-FFT
Multiple modulation formats are detected at the receiver including M-FSK, M-PAM and M-QAM. Sparse-FFT is used to boost the detection time by compromising detection accuracy.
Modulation formats identification using sparse-FFT
Multiple modulation formats are detected at the receiver including M-FSK, M-PAM and M-QAM. Sparse-FFT is used to boost the detection time by compromising detection accuracy.
Modulation formats identification using sparse-FFT
Multiple modulation formats are detected at the receiver including M-FSK, M-PAM and M-QAM. Sparse-FFT is used to boost the detection time by compromising detection accuracy.
Modulation formats identification using sparse-FFT
6441209
In this project the concept of correlation is used at the receiver end to recover the data. Bit Error Rate (Plots) are plotted against different SNRs.
Correlation in signal processing
In this project the concept of correlation is used at the receiver end to recover the data. Bit Error Rate (Plots) are plotted against different SNRs.
Correlation in signal processing
6441187
Leach mobility algorithm is implemented and its parameters are adjusted including clustering techniques (for Random mobility model) to generate the required results.
LEACH + Random Way Point
Leach mobility algorithm is implemented and its parameters are adjusted including clustering techniques (for Random mobility model) to generate the required results.
LEACH + Random Way Point
6441177
This problem examines the autocorrelation and power spectrum characteristics of a low-pass random process. The desired low-pass characteristics is achieved by passing a sequence of statistically independent random numbers through a digital low-pass filter with a given impulse response
Autocorrelation and Power Spectral Characteristics
This problem examines the autocorrelation and power spectrum characteristics of a low-pass random process. The desired low-pass characteristics is achieved by passing a sequence of statistically independent random numbers through a digital low-pass filter with a given impulse response
Autocorrelation and Power Spectral Characteristics
This problem examines the autocorrelation and power spectrum characteristics of a low-pass random process. The desired low-pass characteristics is achieved by passing a sequence of statistically independent random numbers through a digital low-pass filter with a given impulse response
Autocorrelation and Power Spectral Characteristics
This problem examines the autocorrelation and power spectrum characteristics of a low-pass random process. The desired low-pass characteristics is achieved by passing a sequence of statistically independent random numbers through a digital low-pass filter with a given impulse response
Autocorrelation and Power Spectral Characteristics
6933196
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
From the 'N' number of nodes, only selected nodes will transmit their data depending upon the requirements.
Data transmission of selective nodes in WSN
6933146
The simulation of adaptive beam former is carried out using the least mean square (LMS) algorithm and recursive least square (RLS) algorithm. It can be seen from simulations that, the RLS convergence is much faster than the LMS convergence.
BEAMFORMING with LMS & RLS
The simulation of adaptive beam former is carried out using the least mean square (LMS) algorithm and recursive least square (RLS) algorithm. It can be seen from simulations that, the RLS convergence is much faster than the LMS convergence.
BEAMFORMING with LMS & RLS
The simulation of adaptive beam former is carried out using the least mean square (LMS) algorithm and recursive least square (RLS) algorithm. It can be seen from simulations that, the RLS convergence is much faster than the LMS convergence.
BEAMFORMING with LMS & RLS
6441225
Multiple modulation formats are detected at the receiver including M-FSK, M-PAM and M-QAM. Sparse-FFT is used to boost the detection time by compromising detection accuracy.
Modulation formats identification using sparse-FFT
Multiple modulation formats are detected at the receiver including M-FSK, M-PAM and M-QAM. Sparse-FFT is used to boost the detection time by compromising detection accuracy.
Modulation formats identification using sparse-FFT
Multiple modulation formats are detected at the receiver including M-FSK, M-PAM and M-QAM. Sparse-FFT is used to boost the detection time by compromising detection accuracy.
Modulation formats identification using sparse-FFT
Multiple modulation formats are detected at the receiver including M-FSK, M-PAM and M-QAM. Sparse-FFT is used to boost the detection time by compromising detection accuracy.
Modulation formats identification using sparse-FFT
Multiple modulation formats are detected at the receiver including M-FSK, M-PAM and M-QAM. Sparse-FFT is used to boost the detection time by compromising detection accuracy.
Modulation formats identification using sparse-FFT
6441209
In this project the concept of correlation is used at the receiver end to recover the data. Bit Error Rate (Plots) are plotted against different SNRs.
Correlation in signal processing
In this project the concept of correlation is used at the receiver end to recover the data. Bit Error Rate (Plots) are plotted against different SNRs.
Correlation in signal processing
6441187
Leach mobility algorithm is implemented and its parameters are adjusted including clustering techniques (for Random mobility model) to generate the required results.
LEACH + Random Way Point
Leach mobility algorithm is implemented and its parameters are adjusted including clustering techniques (for Random mobility model) to generate the required results.
LEACH + Random Way Point
6441177
This problem examines the autocorrelation and power spectrum characteristics of a low-pass random process. The desired low-pass characteristics is achieved by passing a sequence of statistically independent random numbers through a digital low-pass filter with a given impulse response
Autocorrelation and Power Spectral Characteristics
This problem examines the autocorrelation and power spectrum characteristics of a low-pass random process. The desired low-pass characteristics is achieved by passing a sequence of statistically independent random numbers through a digital low-pass filter with a given impulse response
Autocorrelation and Power Spectral Characteristics
This problem examines the autocorrelation and power spectrum characteristics of a low-pass random process. The desired low-pass characteristics is achieved by passing a sequence of statistically independent random numbers through a digital low-pass filter with a given impulse response
Autocorrelation and Power Spectral Characteristics
This problem examines the autocorrelation and power spectrum characteristics of a low-pass random process. The desired low-pass characteristics is achieved by passing a sequence of statistically independent random numbers through a digital low-pass filter with a given impulse response
Autocorrelation and Power Spectral Characteristics

Anmeldelser

Endringer lagret
Viser 1 - 5 av totalt 30 omtaler
 Filtrer anmeldelser etter:
1,0
$30,00 USD
Matlab code
simply a scammer who is looking for easy money by scamming people and wasting their time.
Engineering
Matlab and Mathematica
Electrical Engineering
Mathematics
Antenna Measurements
W
s flagg Abdulrahman A.
@whatsthepoint0
•
2 år siden
5,0
$50,00 USD
Central Limit Theorem -- 3
Very smart person, who’s do the work when he accepted the project.
Wireless
Matlab and Mathematica
Electrical Engineering
Telecommunications Engineering
+1 flere
F
s flagg Amad K.
@fbuenter
•
3 år siden
5,0
$235,00 USD
Project 29224559 has been deleted
" Everything was perfect!" He is very dedicated person who puts lot of effort for his work. Great communication. Also, He ensured his availability at all times. He is deeply Knowledgeable and was on hand to answer all questions. Highly recommend working with him. Trustworthy freelancer.
Brukeravatar
s flagg Nithya Subramani S.
@Nithzsparkz
•
3 år siden
5,0
$440,00 NZD
Project for Mubashar S.
The project delivered on time and within budget. The working was perfect and I won't hesitate to work with him again. Thank you so much.
Wireless
Matlab and Mathematica
Electrical Engineering
Telecommunications Engineering
+1 flere
A
s flagg Anas A.
@anas1809
•
4 år siden
5,0
$40,00 AUD
wavelets analysis
He is very good, responsive and communicates very well. I will hire him again.
Matlab and Mathematica
A
s flagg Kwame A.
@ATOKWAMEST
•
4 år siden

Kontakte Mubashar S. angående jobben din

Logg inn for å diskutere eventuelle detaljer over chat.

Verifiseringer

Foretrukket frilanser
Identitet verifisert
Betalingsverifisert
Telefonverifisert
E-postadresse verifisert
Koblet til Facebook

Toppferdigheter

Matlab and Mathematica 27
Electrical Engineering 24
Telecommunications Engineering 17
Wireless 16
MATLAB 16

Bla i lignende frilansere

Matlab and Mathematica Engineers in Pakistan
Matlab and Mathematica Engineers
Electrical Engineers
Telecommunications Engineers

Bla i lignende utstillinger

Matlab and Mathematica
Electrical Engineering
Telecommunications Engineering
Wireless
Forrige bruker Neste bruker
Invitasjonen ble sendt!
Takk! Vi har sendt deg en lenke for at du skal kunne kreve din gratis kreditt.
Noe gikk galt. Vær så snill, prøv på nytt.
Freelancer logo Norway / Norsk-Bokmål Hjelp og støtte Frilanser KategorierProsjekterKonkurranserFrilansereEnterprise MedlemskapForetrukken Frilanser-program ProsjektledelseLokale jobberPhoto AnywhereProsjektutstillingAPI for utviklereBli verifisertSkrivebordsapplikasjon Om Om ossHvordan det fungererSikkerhetInvestorSidekartHistorierI nyheteneTeamPremierPressemeldingerKarrierer Vilkår PersonvernBrukervilkårRetningslinjer for opphavsrettEtiske retningslinjerAvgifter og gebyrerPartnereEscrow.comLoadshiftWarrior Forum Apper Apple App Store logoGoogle Play logo
Kopiering til utklippstavlen mislyktes. Prøv igjen etter å ha justert tillatelsene dine.
Kopiert til utklippstavlen.
Registrerte brukere Publiserte jobber
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
Forhåndsvisning innlasting
Tillatelse gitt for geolokalisering.
Påloggingsøkten din er utløpt og du har blitt logget ut. Logg på igjen.