On the estimation of complex speech DFT coefficients without assuming independent real and imaginary parts

IEEE Signal Processing Letters

Volumn 15, Issue , 2008, Pages 213-216

  Erkelens, Jan S ^a   Hendriks, Richard C ^a   Heusdens, Richard ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Complex discrete Fourier transform (DFT) estimators; Independence assumption; Minimum mean square error estimation

Indexed keywords

AMPLITUDE DISTRIBUTIONS; COMPLEX-DISCRETE FOURIER TRANSFORM (DFT) ESTIMATORS; GAIN FUNCTION; GAUSSIAN DENSITY; IMAGINARY PARTS; IN-LINE; INDEPENDENCE ASSUMPTION; MINIMUM MEAN-SQUARE ERROR ESTIMATION; MINIMUM MEAN-SQUARE ERROR ESTIMATORS; SPECTRAL AMPLITUDE; SPECTRAL GAIN; SPECTRAL MAGNITUDES; SPEECH SIGNALS; UNIFORM PHASE;

BLOCK CODES; DISCRETE FOURIER TRANSFORMS; ERROR ANALYSIS; PROBABILITY DENSITY FUNCTION; SQUARE WAVE GENERATORS;

ESTIMATION;

EID: 67650166757     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2007.911730     Document Type: Article

References (6)

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