Optically Efficient Nonlinear Signal Processing

Nonlinear Phonocardiographic Signal Processing

The aim of this thesis work has been to develop signal analysis methods for a computerized cardiac auscultation system, the intelligent stethoscope. In particular, the work focuses on classification and interpretation of features derived from the phonocardiographic (PCG) signal by using advanced signal processing techniques. The PCG signal is traditionally analyzed and characterized by morpholo...

Nonlinear Cochlear Signal Processing

1 Macromechanics 5 1.1 The early history of cochlear modeling. . . . . . . . . . . . . . . . . . . . . . 6 1.2 The 1 model of the cochlea . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.2.1 Impedance. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.2.2 Thévenin equivalence . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.3 2-port analysis . . . . . . . ....

Nonlinear and Nonstationary Signal Processing

1 CMOS Nonlinear Signal Processing Circuits

In VLSI circuit design, nonlinear signals processing circuits such as minimum (MIN), maximum (MAX), median (MED), winner-take-all (WTA), loser-take-all (LTA), k-WTA, and arbitrary rank-order extraction are useful functions (Lippmann, 1987; Lazzaro et al., 1989). In general, median filter is used to filtering impulse noise so as to suppress the impulsive distortions. The MAX and MIN circuits are...

Coefficient of determination in nonlinear signal processing

For statistical design of an optimal "lter, it is probabilistically advantageous to employ a large number of observation random variables; however, estimation error increases with the number of variables, so that variables not contributing to the determination of the target variable can have a detrimental e!ect. In linear "ltering, determination involves the correlation coe$cients among the inp...