Applications of Wavelets for BVPs and Signal Processing

Abstract

The transfer of information using the signal needs speed, which leads to the compression of the information. It is only possible through the process of using a mathematical technique at work. To demonstrate an increase in theory efficiency, it was used in signal processing, compression, and good results. In section 4 Matrix was used because M=3 was taken, where six functions were obtained, when these functions were integrated, the operations matrix of integration was added, which was added to solve Boundary Value Problems (BVPs) numerically. In addition to solving problems numerically, using the proposed technique, which is signal processing, to demonstrate the efficiency of the proposed theory as indicated in section 2, wavelets are built on the dependence of the four effects . In addition, the number of equations obtained is calculated based on the value of where six functions are obtained and the greater value of is obtained More functions, leading to greater accuracy in obtaining the best results.

Keywords

• Chebyshev wavelets
• operation matrix of integration OMI
• Spectral method
• Boundary Value Problems BVP
• signal processing
• compression signal