Howtosignalprocessing
- What are the effects of windowing?
- What is need of windowing technique?
- What are the windowing techniques?
What are the effects of windowing?
Windowing reduces the amplitude of the discontinuities at the boundaries of each finite sequence acquired by the digitizer. No window is often called the uniform or rectangular window because there is still a windowing effect.
What is need of windowing technique?
Windowing is the process of taking a small subset of a larger dataset, for processing and analysis. A naive approach, the rectangular window, involves simply truncating the dataset before and after the window, while not modifying the contents of the window at all.
What are the windowing techniques?
The windowing method involves multiplying the ideal impulse response with a window function to generate a corresponding filter, which tapers the ideal impulse response. Like the frequency sampling method, the windowing method produces a filter whose frequency response approximates a desired frequency response.
