Learn signal processing in MATLAB and Python

Introductions 5 lectures 22:52 Signal processing = decision-making + tools It's all in your head. Really. Using MATLAB If you have MATLAB available, that's really the best way to follow this course. Using Octave online (no installation!) Online Octave is also great. Using Python (no installation) Python is fine as well. Writing code vs. using toolboxes/programs A philosophical discussion about using your own code, others code, or a mixture. Introductions 5 lectures 22:52 Signal processing = decision-making + tools It's all in your head. Really. Using MATLAB If you have MATLAB available, that's really the best way to follow this course. Using Octave online (no installation!) Online Octave is also great. Using Python (no installation) Python is fine as well. Writing code vs. using toolboxes/programs A philosophical discussion about using your own code, others code, or a mixture. Signal processing = decision-making + tools It's all in your head. Really. Signal processing = decision-making + tools It's all in your head. Really. Signal processing = decision-making + tools It's all in your head. Really. Signal processing = decision-making + tools It's all in your head. Really. It's all in your head. Really. It's all in your head. Really. Using MATLAB If you have MATLAB available, that's really the best way to follow this course. Using MATLAB If you have MATLAB available, that's really the best way to follow this course. Using MATLAB If you have MATLAB available, that's really the best way to follow this course. Using MATLAB If you have MATLAB available, that's really the best way to follow this course. If you have MATLAB available, that's really the best way to follow this course. If you have MATLAB available, that's really the best way to follow this course. Using Octave online (no installation!) Online Octave is also great. Using Octave online (no installation!) Online Octave is also great. Using Octave online (no installation!) Online Octave is also great. Using Octave online (no installation!) Online Octave is also great. Online Octave is also great. Online Octave is also great. Using Python (no installation) Python is fine as well. Using Python (no installation) Python is fine as well. Using Python (no installation) Python is fine as well. Using Python (no installation) Python is fine as well. Python is fine as well. Python is fine as well. Writing code vs. using toolboxes/programs A philosophical discussion about using your own code, others code, or a mixture. Writing code vs. using toolboxes/programs A philosophical discussion about using your own code, others code, or a mixture. Writing code vs. using toolboxes/programs A philosophical discussion about using your own code, others code, or a mixture. Writing code vs. using toolboxes/programs A philosophical discussion about using your own code, others code, or a mixture. A philosophical discussion about using your own code, others code, or a mixture. A philosophical discussion about using your own code, others code, or a mixture. Time series denoising 11 lectures 01:17:24 MATLAB and Python materials for this section Mean-smooth a time series The mean-smoothing filter is a simple yet effective denoising tool. Gaussian-smooth a time series Like the mean-smoothing filter, but smoothier. Gaussian-smooth a spike time series Application of Gaussian-smoothing filter to spike time series. Denoising EMG signals via TKEO Reduce noise and enhance signal by converting to TKEO energy. Median filter to remove spike noise Elimiate spike artifacts using the threshold-median filter. Remove linear trend (detrending) Got a trend? Remove it by detrending! Remove nonlinear trend with polynomials Disappointed with linear trends? Try the nonlinear variety! Averaging multiple repetitions (time-synchronous averaging) Strength in numbers. Remove artifact via least-squares template-matching Use least-squares projection to remove an artifact. Code challenge: Denoise these signals! Apply your skills to solve the mystery! Time series denoising. 11 lectures 01:17:24 MATLAB and Python materials for this section Mean-smooth a time series The mean-smoothing filter is a simple yet effective denoising tool. Gaussian-smooth a time series Like the mean-smoothing filter, but smoothier. Gaussian-smooth a spike time series Application of Gaussian-smoothing filter to spike time series. Denoising EMG signals via TKEO Reduce noise and enhance signal by converting to TKEO energy. Median filter to remove spike noise Elimiate spike artifacts using the threshold-median filter. Remove linear trend (detrending) Got a trend? Remove it by detrending! Remove nonlinear trend with polynomials Disappointed with linear trends? Try the nonlinear variety! Averaging multiple repetitions (time-synchronous averaging) Strength in numbers. Remove artifact via least-squares template-matching Use least-squares projection to remove an artifact. Code challenge: Denoise these signals! Apply your skills to solve the mystery! MATLAB and Python materials for this section MATLAB and Python materials for this section MATLAB and Python materials for this section MATLAB and Python materials for this section Mean-smooth a time series The mean-smoothing filter is a simple yet effective denoising tool. Mean-smooth a time series The mean-smoothing filter is a simple yet effective denoising tool. Mean-smooth a time series The mean-smoothing filter is a simple yet effective denoising tool. Mean-smooth a time series The mean-smoothing filter is a simple yet effective denoising tool. The mean-smoothing filter is a simple yet effective denoising tool. The mean-smoothing filter is a simple yet effective denoising tool. Gaussian-smooth a time series Like the mean-smoothing filter, but smoothier. Gaussian-smooth a time series Like the mean-smoothing filter, but smoothier. Gaussian-smooth a time series Like the mean-smoothing filter, but smoothier. Gaussian-smooth a time series Like the mean-smoothing filter, but smoothier. Like the mean-smoothing filter, but smoothier. Like the mean-smoothing filter, but smoothier. Gaussian-smooth a spike time series Application of Gaussian-smoothing filter to spike time series. Gaussian-smooth a spike time series Application of Gaussian-smoothing filter to spike time series. Gaussian-smooth a spike time series Application of Gaussian-smoothing filter to spike time series. Gaussian-smooth a spike time series Application of Gaussian-smoothing filter to spike time series. Application of Gaussian-smoothing filter to spike time series. Application of Gaussian-smoothing filter to spike time series. Denoising EMG signals via TKEO Reduce noise and enhance signal by converting to TKEO energy. Denoising EMG signals via TKEO Reduce noise and enhance signal by converting to TKEO energy. Denoising EMG signals via TKEO Reduce noise and enhance signal by converting to TKEO energy. Denoising EMG signals via TKEO Reduce noise and enhance signal by converting to TKEO energy. Reduce noise and enhance signal by converting to TKEO energy. Reduce noise and enhance signal by converting to TKEO energy. Median filter to remove spike noise Elimiate spike artifacts using the threshold-median filter. Median filter to remove spike noise Elimiate spike artifacts using the threshold-median filter. Median filter to remove spike noise Elimiate spike artifacts using the threshold-median filter. Median filter to remove spike noise Elimiate spike artifacts using the threshold-median filter. Elimiate spike artifacts using the threshold-median filter. Elimiate spike artifacts using the threshold-median filter. Remove linear trend (detrending) Got a trend? Remove it by detrending! Remove linear trend (detrending) Got a trend? Remove it by detrending! Remove linear trend (detrending) Got a trend? Remove it by detrending! Remove linear trend (detrending) Got a trend? Remove it by detrending! Got a trend? Remove it by detrending! Got a trend? Remove it by detrending! Remove nonlinear trend with polynomials Disappointed with linear trends? Try the nonlinear variety! Remove nonlinear trend with polynomials Disappointed with linear trends? Try the nonlinear variety! Remove nonlinear trend with polynomials Disappointed with linear trends? Try the nonlinear variety! Remove nonlinear trend with polynomials Disappointed with linear trends? Try the nonlinear variety! Disappointed with linear trends? Try the nonlinear variety! Disappointed with linear trends? Try the nonlinear variety! Averaging multiple repetitions (time-synchronous averaging) Strength in numbers. Averaging multiple repetitions (time-synchronous averaging) Strength in numbers. Averaging multiple repetitions (time-synchronous averaging) Strength in numbers. Averaging multiple repetitions (time-synchronous averaging) Strength in numbers. Strength in numbers. Strength in numbers. Remove artifact via least-squares template-matching Use least-squares projection to remove an artifact. Remove artifact via least-squares template-matching Use least-squares projection to remove an artifact. Remove artifact via least-squares template-matching Use least-squares projection to remove an artifact. Remove artifact via least-squares template-matching Use least-squares projection to remove an artifact. Use least-squares projection to remove an artifact. Use least-squares projection to remove an artifact /p Multiplication with complex numbers Multiplying complex numbers is not what you probably think! The complex conjugate How to get to the upside down. Division with complex numbers Use the complex conjugate to simplify your...