WebJan 15, 2001 · This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. The authors also address concepts and principles of blind algorithms for single input multiple output (SIMO) systems and multi-user extensions of SIMO ... WebDec 18, 2024 · The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the …
Blind Equalization for Broadband Access using the Constant …
WebThe book addresses and summarizes latest adaptive filtering based solutions for blind channel equalization and carrier recovery in QAM and APSK based digital systems. The book is supported by various new analytical and simulation results, and is illustrated by more than 100 figures, 12 tables, and over 300 references. WebThis chapter concerns the use of a popular blind adaptive equalization algorithm, namely the Constant Modulus Algorithm (CMA) that penalizes deviations from a fixed value in the modulus of the equalizer output signal. The CMA is set in the context of blind equalization, with particular focus on systems that sample at fractions of the symbol time. rivers edge newland nc
Blind Equalization and Identification - 1st Edition - Zhi Ding - Ye
WebBlind source separation (BSS) and blind equalization (BE) are two important blind signal processing tasks. Blind source separation (BSS) is a method of recovering unobserved source signals from observed mixtures, exploiting only the assumption of mutual independence between source signal. Blind equalization (BE) refers to the problem of ... WebJul 1, 2009 · Journals & Books; Search; ... In this paper, using a common framework, we propose, analyze, and evaluate several variants of batch algorithms for blind equalization of SISO channels. They are based on the iterative re-weighted least square (IRWLS) solution for the support vector machine (SVM). The proposed methods combine the … WebBlind equalization algorithms are essentially adaptive filtering algorithms designed such that they do not require the external supply of a desired response to generate the error signal … smoke coming out of carburetor lawn mower