Adaptive modified covariance algorithms for spectral analysis

Signal Processing

Volumn 82, Issue 5, 2002, Pages 715-720

  Kitsios, Kyriakos ^a   Spanias, Andreas ^a   Welfert, Bruno ^b  

^a Arizona State University   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Modified covariance algorithms; Spectral analysis

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MATRIX ALGEBRA; SPECTRUM ANALYSIS; TIME VARYING NETWORKS;

BLOCK MODIFIED COVARIANCE ALGORITHMS (BMCA);

DIGITAL SIGNAL PROCESSING;

EID: 0036566142     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(01)00178-5     Document Type: Article

References (9)

1. Efficient symmetric algorithms for the modified covariance method for autoregressive spectral analysis
2. A new autoregressive spectrum analysis algorithm
3. A fast computational algorithm for the modified covariance method of linear prediction
4. A fast block FIR adaptive digital filtering algorithm with individual adaptation of parameters
5. Frequency errors of the energy-weighted algorithm in processing sinusoidal signals: The analytic formula
6. Block time and frequency domain modified covariance algorithms for spectral analysis