Blind system identification (BSI) is a fundamental signal processing technology aimed at
retrieving a system's unknown information from its output only. This technology has a wide …

A review of blind channel estimation algorithms is presented. From the (second-order)
moment-based methods to the maximum likelihood approaches, under both statistical and …

By combining multiple-input multiple-output (MIMO) communication with the orthogonal
frequency division multiplexing (OFDM) modulation scheme, MIMO-OFDM systems can …

We discuss the philosophy of evaluating estimated impulse responses for applications in
which the overall scaling or gain is irrelevant, as, for example, in blind channel identification …

A subspace-based blind method is proposed for estimating the channel responses of a
multiuser and multiantenna orthogonal frequency division multiplexing (OFDM) uplink …

Active research in blind single input multiple output (SIMO) channel identification has led to
a variety of second-order statistics-based algorithms, particularly the subspace (SS) and the …

In this work, a novel subspace-based method for blind identification of multichannel finite
impulse response systems is presented. Here, we exploit directly the block Toeplitz …

This brief addresses the blind signal estimation of a single input multiple output (SIMO) finite
impulse response (FIR) system. The proposed method estimates directly the input signal …

Data-nulling superimposed pilot (DNSP) effectively alleviates the superimposed interference
of superimposed training (ST)-based channel estimation (CE) in orthogonal frequency …

Electromyography (EMG) became noisy in the collection and transmission. To eliminate the
noise, a novel threshold value method based on the wavelet de-noise was proposed. Firstly …