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Signal Processing (Filtering (FIR Filters with firls, IIR Butterworth…
Signal Processing
Filtering
FIR Filters with firls
IIR Butterworth Filters
Causal and Zero-Phase-Shift Filters
Edge Effects with Reflection
Low-Pass Filters
Windowed-Sinc Filters
High-Pass Filters
Narrow-Band Filters
Two-Stage Wide-Band Filters
Quantifying Roll-Off
Remove Noise and Harmonics
Time Series
Mean-Smooth
Gaussian Smooth
Gaussian Smooth a Spike
Denoising EMG Signals via TKEO
Median Filter to Remove SPike Noise
Detrending (remove linear trend)
Remove Non-Linear Treand with Polynomials
Averaging Multiple Repetitions (time-synchronous averaging)
Remove Artifact via least-squares template-matching
Resampling, Interpolating, Extrapolating
Upsampling
Downsampling
Multirate Signals
Interpolation
Irregularly Sampled Data
Extrapolation
Spectral Interpolation
Dynamic Time Warping
Convolution
Time Domain Convolution
Kernel Flipped Backward
Convolution Theorem
Convolution as Spectral Multiplication
Convolution with Time-Domain Gaussian
Convolution with Frequency-Domain Gaussian
Convolution with Frequency-Domain Plank Taper (bandpass filter)
Wavelet Analysis
Convolution With Wavelets
Mortlet Wavelets
Wavelet Convolution for Narrowband Filtering
Time-Frequency Analysis with Complex Wavelets
Wavelet Convolution vs. FIR Filter
https://www.youtube.com/watch?v=HSMwxBg7iq4&list=PLn0OLiymPak2G__qvavn3T8k7R8ssKxVr
Feature Detection
Local maxima and minima
Recover Signal from Noise Amplitude
Wavelet Convolution for Feature Extraction
Area Under the Curve
Full-Width at Half Maximum
Complex Numbers
Number Line to Complex Plane
Complex Number + - * /
Complex Conjugate
Magnitude and Phase
Variability
Total and Windowed Variance and RMS
Signal to Noise Ratio (SNR)
Coefficiant of Variation (CV)
Entropy
Spectral and Rhythmicity
Fourier Transform for Spectral Analysis
Welch's Method and Windowing
Spectogram
Outlier Detection
Outliers vs Standard Deviation Threshold
Outlier Time Windows via Sliding RMS