Peak-finding algorithm for Python/SciPy
I can write something myself by finding zero-crossings of the first derivative or something, but it seems like a common-enough function to be included in standard libraries. Anyone know of one?
I can write something myself by finding zero-crossings of the first derivative or something, but it seems like a common-enough function to be included in standard libraries. Anyone know of one?
I have access to NumPy and SciPy and want to create a simple FFT of a data set. I have two lists, one that is y values and the other is timestamps for those y values.
I used fft function in numpy which resulted in a complex array. How to get the exact frequency values?
I am trying to create a graphical spectrum analyzer in python.
I’m using zero padding around my image and convolution kernel, converting them to the Fourier domain, and inverting them back to get the convolved image, see code below. The result, however, is wrong. I was expecting a blurred image, but the output is four shifted quarters. Why is the output wrong, and how can I fix the code?
What is the fastest FFT implementation in Python?
I have a periodic function of period T and would like to know how to obtain the list of the Fourier coefficients. I tried using fft module from numpy but it seems more dedicated to Fourier transforms than series.
Maybe it a lack of mathematical knowledge, but I can’t see how to calculate the Fourier coefficients from fft.