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Analytical Chemistry

Volumn 81, Issue 12, 2009, Pages 4987-4994

Practical methods for noise removal: Applications to spikes, nonstationary quasi-periodic noise, and baseline drift

(3) Feuerstein, Delphine a Parker, Kim H a Boutelle, Martyn G a

a IMPERIAL COLLEGE LONDON (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL SIGNALS; ANALYTICAL TECHNIQUES; BASELINE DRIFT; DATA SETS; ENSEMBLE AVERAGES; FOURIER FILTERS; MATLAB CODE; MINIMAL DISTORTION; NEW APPROACHES; NOISE REMOVAL; NONSTATIONARY; PRACTICAL METHOD; QUASI-PERIODIC; SIGNAL OF INTERESTS; TIME-DOMAIN DATA; TIME-SCALE; TRADITIONAL FILTER;

MATLAB; SIGNAL PROCESSING;

SIGNAL TO NOISE RATIO;

ALGORITHM; ARTICLE; BIOFILTER; CONTROLLED STUDY; FILTER; MATHEMATICAL MODEL; NOISE REDUCTION; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SPIKE WAVE;

ALGORITHMS; ARTIFACTS; AUTOMATIC DATA PROCESSING; FOURIER ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 67249119648 PISSN: 00032700 EISSN: None Source Type: Journal
DOI: 10.1021/ac900161x Document Type: Article

Times cited : (70)

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