Detection Theory Applications and Digital Signal Processing
Auteur : Hippenstiel Ralph D.
Using simplified notation and a practical approach, Detection Theory: Applications and Digital Signal Processing introduces the principles of detection theory, the necessary mathematics, and basic signal processing methods along with some recently developed statistical techniques. Throughout the book, the author keeps the needs of practicing engineers firmly in mind. His presentation and choice of topics allows students to quickly become familiar with the detection and signal processing fields and move on to more advanced study and practice. The author also presents many applications and wide-ranging examples that demonstrate how to apply the concepts to real-world problems.
Date de parution : 11-2001
Ouvrage de 326 p.
15.6x23.4 cm
Thème de Detection Theory :
Mots-clés :
Roc Curve; digital; Standard Probability Density Functions; signal; Spectral Density Estimation; processing; FFT Length; correlation; SNR Approximation; function; Normalized Cross-correlation Coefficient; power; FFT Size; spectral; Boxcar Averager; density; Additive Noise Component; random; Power Spectral Density; variable; Output SNR; Fir Filter; Gaussian Random Variables; Spectral Bin; Output Data Points; Non-parametric Detection; DTFT Pair; WVD; Wiener Filter; Spectral Correlation; Data Set; Additive Noise Process; White Gaussian Noise; WT; Wavelet Transform