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Learn how to design a low-pass filter in MATLAB to effectively handle mixed frequency sine waves, essential for any signal processing task. --- Disclaimer/Disclosure: Some of the content was synthetically produced using various Generative AI (artificial intelligence) tools; so, there may be inaccuracies or misleading information present in the video. Please consider this before relying on the content to make any decisions or take any actions etc. If you still have any concerns, please feel free to write them in a comment. Thank you. --- Designing a Low-Pass Filter in MATLAB for Mixed Frequency Sine Waves Signal processing is a crucial aspect in a variety of engineering and scientific applications. One common task is the need to filter out unwanted high-frequency components from a mixed frequency sine wave, especially using software like MATLAB. This post will guide you through the steps to design a low-pass filter in MATLAB. What is a Low-Pass Filter? A low-pass filter is a filter that allows signals with a frequency lower than a certain cutoff frequency to pass through while attenuating frequencies higher than the cutoff. This makes it useful for removing high-frequency noise or for audio applications such as eliminating high-frequency hiss. Step-by-Step Design in MATLAB Generating a Mixed Frequency Sine Wave First, let’s generate a mixed frequency sine wave: [[See Video to Reveal this Text or Code Snippet]] Designing the Low-Pass Filter Next, design the low-pass filter using the designfilt function. Assume we want to filter out frequencies above 100 Hz. [[See Video to Reveal this Text or Code Snippet]] Filtering the Signal Now, apply the filter to our mixed frequency signal using filter function. [[See Video to Reveal this Text or Code Snippet]] Visualizing the Results Finally, visualize the original and filtered signal to see the effect of the low-pass filter: [[See Video to Reveal this Text or Code Snippet]] Conclusion Using MATLAB to design a low-pass filter is straightforward and effective for isolating desired frequency components from a signal. By adjusting the design parameters, you can tailor the filter to meet specific requirements. This guide covers the essential steps to create, apply, and visualize a low-pass filter, a fundamental tool in signal processing workflows.