Howtosignalprocessing
- Is moving average a low pass filter?
- What will be the response of a moving average filter of an impulse response?
- How do you find the moving average filter?
- What is the difference between FFT and STFT?
Is moving average a low pass filter?
A moving average is a low pass FIR filter, i.e., it passes frequencies below the cutoff frequency and attenuates frequencies above the cutoff frequency. (See Appendix 1 for additional details.) The value of the moving average length N determines the frequency response of the filter.
What will be the response of a moving average filter of an impulse response?
The moving average filter has an impulse response = rectangular function rect(.). From Lecture 3, slide 6, we have learned that the Fourier transform of a rectangular function is of the form of sin(x)/x, (or sinc(x)). Shown here is the frequency response of the moving average filter for different number of taps.
How do you find the moving average filter?
The difference equation of the Simple Moving Average filter is derived from the mathematical definition of the average of values: the sum of the values divided by the number of values.
What is the difference between FFT and STFT?
FFT has a resolution of 2048 lines, Blackman window, and 50% overlap and STFT also has Block size 2048, FFT size 16K, Blackman window used, and 50% overlap. As we can see, STFT performs better with the same block size (but more calculated lines). We improved frequency resolution for the same amount of scooped data.
