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BMEN 3311 Hmw 1
BMEN 3311: Signals and Systems in Biomedical Engineering focuses on analyzing and processing signals (e.g., ECG, EEG) and understanding systems that interact with these signals. 
 
Key Topics 
Signals: Continuous/discrete, time-domain operations, biomedical examples. 
Systems: Linear time-invariant (LTI) systems, convolution, stability. 
Frequency Domain: Fourier analysis, spectral analysis, filtering noise. 
Sampling & Quantization: Nyquist theorem, digitizing signals. 
Transforms: Laplace and ...
- Class notes
- • 2 pages •
BMEN 3311: Signals and Systems in Biomedical Engineering focuses on analyzing and processing signals (e.g., ECG, EEG) and understanding systems that interact with these signals. 
 
Key Topics 
Signals: Continuous/discrete, time-domain operations, biomedical examples. 
Systems: Linear time-invariant (LTI) systems, convolution, stability. 
Frequency Domain: Fourier analysis, spectral analysis, filtering noise. 
Sampling & Quantization: Nyquist theorem, digitizing signals. 
Transforms: Laplace and ...
Class notes BMEN 3311
BMEN 3311: Signals and Systems in Biomedical Engineering focuses on analyzing and processing signals (e.g., ECG, EEG) and understanding systems that interact with these signals. 
 
Key Topics 
Signals: Continuous/discrete, time-domain operations, biomedical examples. 
Systems: Linear time-invariant (LTI) systems, convolution, stability. 
Frequency Domain: Fourier analysis, spectral analysis, filtering noise. 
Sampling & Quantization: Nyquist theorem, digitizing signals. 
Transforms: Laplace and ...
- Class notes
- • 15 pages •
BMEN 3311: Signals and Systems in Biomedical Engineering focuses on analyzing and processing signals (e.g., ECG, EEG) and understanding systems that interact with these signals. 
 
Key Topics 
Signals: Continuous/discrete, time-domain operations, biomedical examples. 
Systems: Linear time-invariant (LTI) systems, convolution, stability. 
Frequency Domain: Fourier analysis, spectral analysis, filtering noise. 
Sampling & Quantization: Nyquist theorem, digitizing signals. 
Transforms: Laplace and ...