Two-step demodulation based on the Gram–Schmidt orthonormalization method

Two-step demodulation based on the Gram-Schmidt orthonormalization method.

This Letter presents an efficient, fast, and straightforward two-step demodulating method based on a Gram-Schmidt (GS) orthonormalization approach. The phase-shift value has not to be known and can take any value inside the range (0,2π), excluding the singular case, where it corresponds to π. The proposed method is based on determining an orthonormalized interferogram basis from the two supplie...

Audio Content Classification Method Research Based on Two-step Strategy

Audio content classification is an interesting and significant issue. Audio classification technique has two basic parts: audio feature extraction and classifier. In general the audio content classification method is firstly to identify the original audio into text, then use the identified text to classify. But the text recognition rate is not high, some words that good for classification are i...

The Effect of Socioeconomic Factors on Household Health Expenditures: Heckman Two-Step Method

Background and Aim: Due to the high level of out-of-pocket payments for health expenditures and the importance of household health expenditure management, this study aimed to investigate socioeconomic factors affecting Iranian urban households’ health expenditures. Materials and Methods: This descriptive-analytic and applied study was conducted cross-sectionally at national level with microeco...

On Some Two-step Density Estimation Method

We introduce a new two-step kernel density estimation method, based on the EM algorithm and the generalized kernel density estimator. The accuracy obtained is better in particular, in the case of multimodal or skewed densities.

On the Maximal Degree of the K-Step Obrechkoff’s Method