Nonlinear and Nonstationary Signal Processing

Nonlinear and Nonstationary Signal Processing

Interpolate to Enhance for NonStationary Signal Processing

Enhancing non-stationary signals is crucial for many applications, such as speech recognition, audio communication, and bio-signals analysis. The present paper investigates a novel processing structure (alternative to the overlap-add scheme), based on an interpolated zero-phase FIR filtering. The proposed structure accounts for slow signal non-stationarity, and also natively supports time and f...

Discrete Wavelet Transfom for Nonstationary Signal Processing

In engineering, digital signal processing techniques need to be carefully selected according to the characteristics of the signals of interest. The frequency-based and time-frequency techniques have been frequently mentioned in some literature (Cohen, 1995). The frequencybased techniques (FBTs) have been widely used for stationary signal analysis. For nonstationary signals, the time-frequency t...

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 . . . . . . . ....