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Optimizing Filter Orders for Stable and Accurate Signal Analysis

Troubleshooting Signal Filtering: Why Lowering Filter Order Should Be Your First Step In this video, I delve into the technical aspects of signal processing, specifically focusing on filter orders and their impact on signal analysis. I encounter an issue with an overly large filter order and demonstrate how to resolve it without altering the code. My goal is to achieve a balance where the signal is neither too sharp nor distorted, ensuring stability. I also discuss the transition from time domain to frequency domain, emphasizing the importance of accurate signal decomposition for effective analysis. (00:00) Discussing default filter settings (00:13) Identifying and resolving a large filter order issue (00:30) Limiting the filter order for better signal analysis (00:43) Comparing raw and deconstructed signals (00:57) Breaking down the signal into frequency B (01:07) Analyzing a seizure signal for clarity and stability #SignalProcessing #FilterOrder #CodeOptimization #TimeDomain #FrequencyDomain #SignalAnalysis #TechnicalInsights #SignalStability #SignalDecomposition #engineeringsolutions The tools I develop are available on https://bionichaos.com You can support my work on   / bionichaos