Hi Barney,
To perform a discrete wavelet transform (DWT) on a signal with a sampling frequency of 6 Hz you can go refer to the following steps:
1. Prepare your signal and ensure the signal is sampled at 6 Hz. This frequency helps in interpreting the time scale of your results.
2. Choose a wavelet (e.g., 'db1' for Daubechies) and decompose your signal using MATLAB's "wavedec" function.
signal = [your_signal_data];
wavelet = 'db1';
level = 3;
[C, L] = wavedec(signal, level, wavelet);
3. Use the coefficients in C to analyze frequency components and if required reconstruct the signal with "waverec" function in MATLAB.
reconstructed_signal = waverec(C, L, wavelet);
To learn more about "waverec" and "wavedec" functions in MATLAB , refer to the following documentation links:
Happy Coding!