wavelet

This question was migrated from Signal Processing Stack Exchange because it can be answered on Stack Overflow. Migrated 5 years ago . Learn more . scipy.signal.cwt 's documentation says : scipy.signal.cwt(data, wavelet, widths) wavelet : function Wavelet function, which should take 2 arguments. The first argument is the number of points that the returned vector will have (len(wavelet(width,length)) == length). The second is a width parameter, defining the size of the wavelet (e.g. standard deviation of a gaussian). See ricker, which satisfies these requirements.wavelet : function Wavelet

I came across this amazing response Applying MATLAB's idwt2 several times which I executed to understand it myself. However, I am unable to get how to use the same with work with an RGB image. So, I have 3 Questions. How would the code be applied to an RGB image with only the transformed image displayed in the output that is along with the high and low frequency components along row and column,is it possible to view the fusion of all the components as a single image? I am aware that I have to put cat operator, but I cant understand how to go about it. Secondly, I am also getting a mazed image!

I am discovering wavelets in practice thanks to the python module pywt . I have browsed some examples of the pywt module usage , but I could not grasp the essential step: I don't know how to display the multidimensionnal output of a wavelet analysis with matplotlib , basically. This is what I tried, (given one pyplot axe ax ): import pywt data_1_dimension_series = [0,0.1,0.2,0.4,-0.1,-0.1,-0.3,-0.4,1.0,1.0,1.0,0] # indeed my data_1_dimension_series is much longer cA, cD = pywt.dwt(data_1_dimension_series, 'haar') ax.set_xlabel('seconds') ax.set_ylabel('wavelet affinity by scale factor') ax

I'm working with wavelets on a program and I'm used the package wavelets to create the DWT of a time series using the function dwt . This function returns an object of class dwt , which is a S4 object with many slots: W , V , levels , filter , and so on. How can I access the W 's as a vector? Ari B. Friedman @ will let you access the slots of an S4 object. So if your object is called wave , then wave@W should get you your vector. Note that often the best way to do this is to not access the slot directly but rather through an accessor function (e.g. coefs() rather than digging out the

Does anyone know of a good C/C++ wavelet library for signal processing? The signal is float or double valued, not int valued. Without more information or clarification of what you mean by good (Good for what ?), it is difficult to make any recommendation. Some C/C++ Wavelet libraries are listed below. Wavelet Geophysical Wavelet Library WvLib wavelet1d WAILI GNU Scientific Library or gsl see here for DWT documentation blitzwave nwave Wavelet Image Compression Library Kicksey-Winsey which features a library called Template Wavelet Library that supports OpenMP In case you have a high-end gpu

I'm currently working on a library to generate synthetic fingerprints using the SFinGe method (by Maltoni, Maio and Cappelli) link : http://biolab.csr.unibo.it/research.asp?organize=Activities&select=&selObj=12&pathSubj=111%7C%7C12& One of the steps requires me to apply different gabor filters to an image, each pixel in the image have an orientation and a frequency associated, so the convolution is not done with one kernel over the entire image but the filter must change during the process depending on those attributes of the pixels, that way each pixel on the image is altered in a different