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# Source code for pyewt.defaultparams

    import numpy as np

    def Default_Params():

        """
        This function creates a set of parameters, stored in params, with default values

        Returns:
        - params: dictionary containing the different parameters

        Author: Jerome Gilles
        Institution: San Diego State University
        Version: 1.0 (12/18/2024)
        """

        params = {
            # General parameters
            "log": False, # if 1 the boundaries detection will be perform on the log of the spectrum
            "N": 4, # Number of expected modes
            "SamplingRate": 2*np.pi, # sampling frequency, if unknown set to 2pi for a normalized frequency line. i.e. [-pi,pi]

            # Global trend parameters
            "globtrend": "none",  # options: none, powerlaw, polylaw, morpho, tophat, opening
            "degree": 7, # degree of polynomial interpolation for polylaw

            # Regularization parameters
            "reg": "none", # options: none, gaussian, average, closing
            "lengthfilter": 3, # length of filter
            "sigmafilter": 1.5, # standard deviation for Gaussian regularization

            # Boundary detection parameters
            "detect": "scalespace", #detection methods: locmax, locmaxmin, locmaxminf, adaptivereg, adaptive, scalespace
            "typeDetect": "otsu", #scale-space method: "otsu", "halfnormal", "empiricallaw", "mean", "kmeans"
            "kn": 3, #scale kernel size for scalespace kernel
            "t": 0.16, #initial scale
            "InitBounds": np.array([5, 28, 54, 81]), #array of initial bounds to be adapted (adaptive and adaptivereg methods)
            "Completion": False, # Request completion of the number of mode if less than N

            # 1D transform
            "wavname": "littlewood-paley", # mother wavelet: littlewood-paley, shannon, meyer, gabor1, gabor2

            # Curvelet parameters
            "option": 3, # specify which transform option: 1 = independent scales and angles, 2 = scales first then angles, 3 = angles first then scales
            "curvdegree": 4, # degree of polynomial interpolation for polylaw for angles detection
            "curvpreproc": "none",  # options: none, powerlaw, polylaw, morpho, tophat, opening for angles detection
            "curvreg": "none", # options: none, gaussian, average, closing for angles detection
            "curvlengthfilter": 10, # length of filter for angles detection
            "curvsigmafilter": 1.5, # standard deviation for Gaussian regularization for angles detection
            "curvmethod": "scalespace", # detection methods: locmax, locmaxmin, scalespace for angles detection
            "curvN": 6, # number of expected angular sector

            # 2D Gaussian scale space extra parameters
            "niter": 4, # number of iterations
            "edge": 0, # size (in pixels) of the strip to ignore at the edge of the image
            "includeCenter": 0, # if 1, the center of the image is included in the scale space maxima

            # Voronoi and watershed partition parameters
            "complex": 0, # if 1, the Voronoi partition is complex, otherwise it is real
            "tau": 0.1 # half width of the transition area
        }

        return params