By analyzing the characteristics of impulse noise, a modified lower-order-moments ambiguity function is presented, which can analyze the time-frequency trait even under the impulse noise condition.

Fractional time delay estimation algorithm based on the fractional lower order moment;

This paper proposes a new adaptive EP latency change detection algorithm (referred to as NLAT) based on the fractional lower order moment and the n.

A novel joint diagonalization fractional lower order moment(FLOM) DOA matrix method is proposed to estimate the higher 2-D DOA of uncorrelated narrowband signals with high resolution in the presence of impulsive noise.

Based on the α-spectrum of AR SαS processes,the drawback of the parameter estimation of AR SαS processes based on Fractional Lower Order Moments(FLOM) was analyzed.

The drawback of the parameter estimation method for ARMA SαS process based on fractional lower order moments(FLOM) was analyzed,and based on the conception of fractional lower order covariance(FLOC),a new parameter estimation method of ARMA SαS process was proposed based on FLOC coefficient.

Since the performance of traditional DOA estimation algorithm degrades significantly under SαS noise,we propose two signal/noise subspace fitting (SSF/NSF) DOA estimation methods,on the basis of fractional lower order moment (FLOM) and screened ratio principle.

Blind signals separation method based on fractional lower order moments;

More details below: Firstly, this paper presents the definition and important characteristic ofα-stable distribution,and discusses the definitions and properties of fractional lower-order moment, minimum dispersion, and some important theorems and conclusions.

We start our discussion with the introduction of two important definitions: fractional lower-order moments and minimum dispersion criterion, which are the foundation of signal processing inα-stable noise environments.