Modeling after Wiener filtering theory, this paper derives new expressions for the basic equations of the constant modulus (CM) optimization method. In ...
Modeling after Wiener filtering theory, this paper derives new expressions for the basic equations of the constant modulus (CM) optimization method. In ...
These formulas involve the unknown parameters and the statistics of the sample sequence only. Consequently, they serve to convert the CM minimization problem ...
Hamadi Jamali, Tokunbo Ogunfunmi : Stationary points of the finite length constant modulus optimization. Signal Process. 82(4): 625-641 (2002).
Here we present an algorithm which directly min- imizes a finite-interval constant modulus criterion, and is computationally much simpler than the ACMA: it re-.
Sep 2, 2024 · An algorithm for bounding the MSE performance of CM min- imizers has been derived by Zeng et al. for the case of a real- valued i.i.d. source, ...
An analytical constant modulus algorithm - Semantic Scholar
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Stationary points of the finite length constant modulus optimization · H. JamaliT. Ogunfunmi. Engineering, Computer Science. Signal Process. 2002. 9 Citations.
Oct 8, 2008 · Asymptotically (for sufficient block size), the least-squares CMA (LSCMA) [7] guarantees global convergence to a cost function stationary point, ...
Missing: optimization. | Show results with:optimization.
This paper provides a tutorial introduction to the constant modulus (CM) criterion for blind fractionally spaced equalizer. (FSE) design via a (stochastic) ...
We present a fixed point analysis for the steady-state mean square error (MSE) of a blind adaptive equalizer and the optimal value of the step-size that ...
Missing: Stationary length optimization.