StackExchangeCodes
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The question is in the link https://dsp.stackexchange.com/questions/50329/automatic-image-enhancement-of-images-of-scanned-documents-auto-whitening/50330#50330
great code but do you have code for ridge/lasso regression with non -negative coefficients when data is sparse one hot data and data matrix is very big? for example data...
Hi, I have seen your implementation of guided filter kernel in `https://github.com/RoyiAvital/StackExchangeCodes/blob/9492a719968c88e0ce4952be8d2c43a6ae37d664/SignalProcessing/Q42415/ApplyLocalLinearKernel.m#L1`. Thanks for your wonderful work. Have your thought about implementing guided filter with multiple guidance image?
https://math.stackexchange.com/questions/4555441
**problem description:** https://math.stackexchange.com/questions/5053708/how-to-perform-curve-fitting-when-integrals-are-involved and the references: https://www.sciencedirect.com/science/article/pii/S0167732224008493 https://c.coek.info/pdf-measurement-of-emulsion-droplet-sizes-using-pfg-nmr-and-regularization-methods-.html