Hi Harshul,
To speed up Bode and Nyquist plot generation from FFT data in MATLAB, especially with a large dataset, consider the following strategies:
1. Optimize FFT Calculation
- Use fewer points if high resolution isn't critical.
- Ensure the number of points is a power of 2 for efficiency.
2. Efficient Transfer Function Calculation
- Vectorize calculations to avoid loops.
- Use sparse matrix operations if applicable.
3. Plotting Optimization
- Decimate data to plot fewer points without losing plot integrity.
- Use efficient plotting functions like 'semilogx' or 'semilogy'.
4. Parallel Computing
- Utilize MATLAB's Parallel Computing Toolbox for faster computations.
5. Efficient Data Handling
- Preallocate arrays to avoid dynamic resizing.
- Choose appropriate data types ('single' vs. 'double') based on precision needs.
6. Use MATLAB Profiler
- Identify and address bottlenecks in your code with MATLAB's profiler.
Hope this helps.
