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digital signal processing: DOST Transform

$30-250 USD

Closed
Posted about 8 years ago

$30-250 USD

Paid on delivery
THE DISCRETE ORTHONORMAL STOCKWELL TRANSFORM (DOST) is a method or transform to represent the signal into time and frequency components.( matlab code for application on video or sound + 20 pages report)
Project ID: 10211960

About the project

4 proposals
Remote project
Active 8 yrs ago

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4 freelancers are bidding on average $135 USD for this job
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-------------Very nice Job!I'm a expert for your task!No problem!best result on time!----------------------
$111 USD in 3 days
4.4 (96 reviews)
6.3
6.3
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Hello, Dear friend. I am expert in matlab, physics, math,... I have a lot of experiences in many fields. I can help you well. Please contact me. Best regards.
$155 USD in 3 days
4.8 (17 reviews)
3.7
3.7
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A proposal has not yet been provided
$144 USD in 4 days
4.8 (3 reviews)
2.8
2.8
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Hey This task requires thoroughly attention during development. I can guarantee it's completion from A-2-Z as I'm capable of developing such projects. "I BITE ONLY WHICH I CAN CHEW". Well, based on this point of view; I expect a professional starting. Thanks
$150 USD in 2 days
5.0 (11 reviews)
0.0
0.0
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Dear Sir, I am Habib Chabbi, a telecommunication Engineer. I am applying for this job as I see that I have the good qualifications that enable me to acccomplish this job successfully. Being specialized in wireless communications and signal processing, I am familer with many staff I saw in the attached document. I have as well a very long experience with MATLAB coding. I can send you my CV if you want to have clearer idea about my qualifications and my bacckground. While waiting for a response from your side, please accept, Sir, the expression of my highest considerations. Best regards, Habib Chabbi
$111 USD in 7 days
0.0 (0 reviews)
0.0
0.0
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I have been working on Matlab for almost 5 years now. I have previously worked on signal processing for my master thesis. I am highly interested in this project.
$133 USD in 3 days
0.0 (0 reviews)
0.0
0.0

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