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Signal processing is a fundamental field of study in electrical engineering and computer science that deals with analyzing, modifying, and interpreting signals.Filter design can be a challenging task due to various factors and requirements like Specification Complexity, Trade-offs, Filter Type Selection, and so on.
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Objective: Design a signal filtering system using MATLAB/OCTAVE to get ride of specific frequecnies.Filters are often employed to eliminate frequencies and may significantly change the tone of any audio.Output: Obtain filtered signals for analysis and visualization.MATLAB/OCTAVE: Powerful tools for efficient filter design and processing.
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Signal processing is a fundamental field of study in electrical engineering and computer science that deals with analyzing, modifying, and interpreting signals.
Filters are often employed to eliminate frequencies and may significantly change the tone of any audio. There are several types of filters like low pass, high pass, band pass, and band reject filter.
Filter design can be a challenging task due to various factors and requirements like Specification Complexity, Trade-offs, Filter Type Selection, and so on.
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Objective: Design a signal filtering system using MATLAB/OCTAVE to get ride of specific frequecnies.
Input: Signal properties determined by student IDs.
Filter Design: Create group-specific band-pass filters. Frequency Response: Adjust signal's frequency content with the filters.
Output: Obtain filtered signals for analysis and visualization. MATLAB/OCTAVE: Powerful tools for efficient filter design and processing.
Importance of Customization: Tailored filters optimize signal performance.
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The theory we used during our design is the Convolution theory.
Convolution is a mathematical operation that combines two signals to produce a third signal.
In our project it combines the x(t) with h(t) to produce the output y(t)
It is often denoted by the symbol ‘SATAR’ as its clear in the written equation
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