Continuous-wave Doppler radar is an established method for non-contact heart rate estimation. The output signal of the includes fundamental wave a heartbeat, heartbeat harmonics, respiration, respiration and artifacts due to body movement. harmonics degrade accuracy To this end, novel estimation proposed that uses adaptive notch filters (ANFs). First, system estimates frequency. Next, cascaded ...

Pulse-width modulated (PWM) adjustable frequency drives (AFDs) are extensively used in industries for control of induction motors. It has led to significant advantages in terms of the performance, size, and efficiency but the output voltage waveform no longer remains sinusoidal. Hence, overshoots, high rate of rise, harmonics and transients are observed in the voltage wave. They increase voltag...

In this paper a novel method based on evolutionary algorithms is presented to estimate the harmonic components. In general, the optimization of the harmonic estimation process is a multi-component problem, in which evaluation of the phase and harmonic frequency is the nonlinear part of the problem and is solved based on the mathematical and evolutionary methods; while estimation of amplitude of...

Fundamental frequency (F0) estimation is important in speech processing such as speech coding, synthesis, recognition and so on. A present F0 estimation method performs well under clean condition, however the performance deteriorates significantly in noisy environment. As a result, robust F0 estimation against additive noise is demanded. We have previously proposed F0 estimation methods based o...

Cepstral analysis is used to estimate the harmonics-to-noise ratio (HNR) in speech signals. The inverse Fourier transformed liftered cepstrum approximates a noise baseline from which the harmonics-to-noise ratio is estimated. The present study highlights the manner in which the cepstrum-based noise baseline estimate is obtained, essentially behaving like a moving average filter applied to the p...

We propose a complex-domain pitch estimation algorithm for narrowband speech signals, which utilizes complex spectrum containing both amplitude and phase information. Traditional frequency-domain algorithms assume that signal has harmonic structure; they estimate by calculating the distance between adjacent peaks of corresponding to harmonics. However, only few can be detected from signals beca...

We propose a fundamental frequency (F0) estimation method which is fast, accurate and suitable for real-time use. While the proposed method is based on the same framework as DIO [1, 2], it has two clear differences: it uses RMA (Recursive Moving Average) filters for attenuating high order harmonics, and the period detector is designed to work well even for signals which contain some higher harm...

This paper introduces a novel articulatory-acoustic mapping in which detailed spectral envelopes are estimated based on the cepstrum, inclusive of the high-quefrency elements which are discarded in conventional speech synthesis to eliminate the pitch component of speech. For this estimation, the method deals with the harmonics of multiple voiced-speech spectra so that several sets of harmonics ...

This paper presents some analysis techniques of the voltages induced in the stator windings after supply disconnection, to detect broken rotor bars in induction motor (IM). When the motor is disconnected from the supply voltage, the broken bars cause a distortion of the magnetomotive force generated by rotor windings, and some particular harmonics induced in the stator windings increase their a...