Matlab-Based Formant Estimation

2014 ◽  
Vol 577 ◽  
pp. 798-801
Author(s):  
Jiao Yan Luo ◽  
Xiang E Sun
Keyword(s):  
Signal Processing ◽  
Estimation Method ◽  
Digital Signal ◽  
Speech Signal Processing ◽  
Short Time Fourier Transform ◽  
Transform Method ◽  
Processing Techniques ◽  
Short Time ◽  
Matlab Programming ◽  
Signal Processing Techniques

In the study of speech digital signal processing, the resonance peak is the major characteristics in reflecting track resonant. In order to be more conducive to the future development of speech signal processing techniques, three methods of the formant estimation are introduced in the article, namely, Short-time Fourier Transform method, Cepstrum, LPC estimation method. These methods are compared and analyzed by means of MATLAB programming, and it is concluded that LPC method is the best method, which can estimate the formant peaks more accurate.

Signal Processing Techniques in Smart Grids

2017 ◽  
pp. 1278-1302
Author(s):  
Zahoor Uddin ◽  
Nadir Shah ◽  
Ayaz Ahmad ◽  
Waqar Mehmood ◽  
Farooq Alam
Keyword(s):  
Signal Processing ◽  
Smart Grid ◽  
Smart Grids ◽  
Digital Signal ◽  
Future Research ◽  
System Control ◽  
Comprehensive Survey ◽  
Efficient Data ◽  
Processing Techniques ◽  
Signal Processing Techniques

Basic concept of a smart grid is to have monitoring capability with data integration, advanced analysis to support system control, enhanced power security and effective communication to meet the power demand and reduce the energy consumption and cost. Implementing the smart grid will require intelligent interaction between the power generating and consuming devices that can be achieved by installing devices capable of processing data and communicating it to various parts in the grid. In short, we can say that the modern efficient data processing and communication technologies require advance digital signal processing techniques used in smart grid. This chapter first provides a comprehensive survey on the applications of signal processing techniques in smart grid. The challenges and limitations of signal processing techniques regarding the smart grid are also presented. Literature review of the recent advances in smart grid is also presented. This chapter also outlines some future research directions related to the field of applications of signal processing techniques in smart grid.

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