is some harmonic (multiple) of the first sine, or better, a signal with a square or triangle waveform, as such signals provide many overtones in the spectrum.). An important property of the cepstral domain is that the convolution of two signals can be expressed as the addition of their complex cepstra: Applications The concept of the cepstrum has led to numerous applications: dealing with reflection inference (radar, sonar applications, earth seismology) estimation of speaker fundamental frequency (pitch) speech analysis and recognition medical applications in analysis of electroencephalogram (EEG) and brain waves machine vibration analysis based on harmonic patterns (gearbox faults, turbine blade failures, ...) Recently cepstrum based deconvolution was used to remove the effect of the stochastic impulse trains, which originates an sEMG signal, from the power spectrum of sEMG signal itself. In this way, only information on motor unit action potential (MUAP) shape and amplitude were maintained, and then, used to estimate the parameters of a time-domain model of the MUAP itself. A short-time cepstrum analysis was proposed by Schroeder and Noll for application to pitch determination of human speech. References Further reading "Speech Signal Analysis" "Speech analysis: Cepstral analysis vs. LPC", www.advsolned.com "A tutorial on Cepstrum and LPCCs" Frequency-domain analysis Signal processing