REJECTED
Please predict whether this patent is acceptable.PATENT ABSTRACT: A method for unsupervised learning of one dimensional signals includes obtaining a sample vector from a one dimensional signal and storing the sample vector in a computer accessible memory (115) and identifying a higher dimension convex natural space where the surface of the function of a constant modulus (CM) performance measure of the sample vector is convex. The method further comprises transforming, with a computational processor (110), the sample vector from an original space into a higher dimension natural convex space CM matrix in the higher dimension natural convex space and solving, with a computational processor (110), for an optimum solution to the CM performance measure in the higher dimension convex natural space. The computational processor extracts an optimum solution to the CM performance measure in the original space.