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Adaptive Filter for Noise Cancellation

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dc.contributor.author Asharaf, Hassan Tariq
dc.contributor.author Faisal, Muhammad Sheraz
dc.contributor.author Khan, Khizer Ali
dc.contributor.author Ayaz, Ahsan
dc.contributor.author supervised by Dr. Alina Mirza
dc.date.accessioned 2020-11-04T05:32:08Z
dc.date.available 2020-11-04T05:32:08Z
dc.date.issued 2020-06
dc.identifier.other PTC-371
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/9416
dc.description.abstract The project basically revolves around the concept of Adaptive Filtering and implementation of one of its application that is noise cancellation. It basically used for the purpose of cancellation of distortion in corrupted audio signals. We aim to carry out the process of Least Mean Squares (LMS) Filters which is one of the generally utilized filters in numerous adaptive signal processing, to device an efficient and affordable system that could perform communication irrespective of the type of distortion an environment offers. The project basically tends to make the hardware and software combination for the secure communication of data from one point to another point in any noisy environment remotely using LASER communication, having the proper implementation and simulation of Adaptive Filtering Algorithm for Noise Cancellation. Real time secure transmission and reception of data will be done through microcontrollers. The data we are transmitting includes audio file and real time voice signal. LMS algorithm will be running on Raspberry Pie at the receiving end while the coding of microcontrollers will be done through Arduino IDE editors. The Aux cable and Microphone connected to hardware of transmitter will channelize data to the receiver’s end for further process of Adaptive Filtering Algorithm resulting cleaned audio signal. en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title Adaptive Filter for Noise Cancellation en_US
dc.type Technical Report en_US


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