It is well known that time-frequency analysis (TFA) characterises signals in time-frequency
plane. Theoretically, traditional non-parameterised TFA can analyze any signal, but it is …

This paper presents a novel transform related to the framework of warping operators when
the continuous time warping mapping is a second-order polynomial. This case is proven in …

Voice models often use frequency limits to split the speech spectrum into two or more
voiced/unvoiced frequency bands. However, from the voice production, the amplitude …

In this paper, a novel approach for time-frequency analysis and detection, based on the
chirplet transform and dedicated to non-stationary as well as multi-component signals, is …

This chapter surveys the contemporary approaches of automatic sound recognition and
discusses the benefits stemming from real-world applications of this technology. We identify …

With the advent of ultrahigh-resolution holographic displays, viewing macroscopic deep
scenes with large viewing angles becomes a possibility. These deep holograms possess …

A novel method is presented for the instantaneous frequency estimation of multi-component
signals with crossing signatures in the time-frequency domain. The proposed method uses a …

We propose a novel technique to estimate the channel characteristics for robust speech
recognition. The method focuses on reliable time–frequency speech patches which are …

(*) Notice: Subject to any disclaimer, the term of this WO WO 2013, 022930 2, 2013 patent is
extended or adjusted under 35 OTHER PUBLICATIONS USC 154 (b) by 89 days. Luis …

Based on the fact that noise and distortion are the main factors that limit the capacity of data
transmission in telecommunications and that they also affect the accuracy of the results in …