Systems and biomedical engineering, Cairo University. Level 3, 1st semester.
| Team Members' Names | Section | B.N. |
|---|---|---|
| Marina Nasser | 2 | 12 |
| Ghofran Mohamed | 2 | 8 |
| Nourhan Sayed | 2 | 41 |
| Mayar Ehab | 2 | 47 |
Signal processing, by applying FFT to a signal, control the amplitude of the frequncies within the signal and displaying it after applying Inverse Fourier Transform.
Fast Fourier Transformation(FFT) is a mathematical algorithm that calculates Discrete Fourier Transform(DFT) of a given sequence. The only difference between FT(Fourier Transform) and FFT is that FT considers a continuous signal while FFT takes a discrete signal as input. DFT converts a sequence (discrete signal) into its frequency constituents just like FT does for a continuous signal. In our case, we have a sequence of amplitudes that were sampled from a continuous audio signal. DFT or FFT algorithm can convert this time-domain discrete signal into a frequency-domain.
- Uploading Csv or Wav type file.
- Contains 4 modes ("Uniform Range Mode", "Vowels Mode", "Musical Instruments Mode", "Biological Signal Abnormalities").
- Displaying orignal and modified audio in vowels and musical insturments modes.
- Displaying static and dynamic plots for the orignal and modified signal.
- A spectorogram for both orignal and modified signals.
- "Uniform Range Mode" : the total frequency range of the input signal is divided uniformly into 10 equal ranges of frequencies, each is controlled by one slider.
- "Vowels Mode" : each slider can control the magnitude of specific vowel.
- "Musical Instruments Mode" : each slider can control the magnitude of a specific musical instrument.
- "Biological Signal Abnormalities" : one slider control the normal ECG signal and the other controls the arrhythmia within the signal.
Visual representation of frequencies of a given signal with time is called Spectrogram. In a spectrogram representation plot — one axis represents the time, the second axis represents frequencies and the colors represent magnitude (amplitude) of the observed frequency at a particular time.
