MATLAB Implementation of Bandpass Filter with Function-Based Approach
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Resource Overview
Implementation of a bandpass filter requiring configuration of half-order, high/low cutoff frequencies, and sampling frequency parameters, packaged as a reusable MATLAB function. The accompanying RAR file contains sample EMG signal data for testing.
Detailed Documentation
When implementing a bandpass filter in MATLAB, you need to configure three key parameters: the half-order value, high/low cutoff frequencies, and sampling frequency. These parameters should be encapsulated within a MATLAB function file for reusable implementation. The implementation typically involves designing the filter using functions like butter or cheby1 for IIR filters, or fir1 for FIR filters, where the filter order is calculated as twice the half-order value. The provided RAR archive contains sample electromyography (EMG) signal data that can be used to test the filter performance. The filter function should include proper input validation and return both the filtered signal and filter coefficients for further analysis.
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