Signal Reconstruction after passing it through the air
$30-250 USD
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Opublikowano prawie 5 lat temu
$30-250 USD
Płatne przy odbiorze
I have developed an OFDM waveform in MATLAB and have used the waveform developed to transmit image and text signals separately using USRP and captured the signals over-the-air with an SDR in the Lab. There are two tasks to be done. 1) To decode the captured signals with my code. 2) To modify the code to be able to automatically decode such over-the-air captured signals
Hi i am a mathematician.I have a great experience on solving problems with matlab.I have an engineering degree on applied mathematics annd a master degree on signal processing.
Hello I am an electrical engineer (communications and control) and I have good experience in communications especially through the MATLAB
I can serve you well in this area.
I have understood that you need Matlab Expert. I offer our services for this project.
I have made many projects using Matlab as follows;
• Filtering of a voice signal using multiple filters.
• Speech Recognition System using Bayesian Framework.
• Applying the 3-bit uniform Quantization on the discrete time speech signal.
• QPSK modulation of the quantized speech signal.
• Investigating the effect of noise on QPSK symbols of the quantized speech signal.
• Oversampling/ Interpolation of the QPSK modulated quantized speech signal.
• Design of Root Raised Cosine filter for the oversampled QPSK data.
• Blind Source separation techniques on Functional MRI images.
• Generating binary messages using Filtering and Fourier Series.
• Comparison between theoretical and simulation of 4-PAM.
• Comparison of Fourier transform of signals having different sampling rates.
• Plot input and output time sequences and their fourier transform sequences of LTI system.
• Blind Source separation techniques on Functional MRI images.
• Counting Photo-Receptors in Optical Coherent Tomography images.
• Brain Tumor Segmentation using morphological operations.
I ensure you to complete your project efficiently in time.