**6. Conclusion/Future study**

The development of MATLAB-based algorithm for real-time analysis of multicomponent transient signal analysis based on SVD-ARMA modeling technique has been presented in this chapter. To enhance real-time interface and rapid prototyping on target hardware, complementary benefits of MATLAB and Labview were explored to develop real-time software interface downloadable into single board computer by NI Labview. In the absence of the spectrofluorometer system, the developed user friendly software for real-time deployment was validated with the collected real-time data. The obtained results indicate the effectiveness of the proposed integrated software for practical application of the proposed algorithm.

Future direction of this research will be directed towards development of customized spectrofluorometer sub-system that can be directly integrated to the overall system. This will eventually facilitate direct application of the developed algorithm in practical applications involving transient signal analysis. Also, other algorithms based on homomorphic and eigenvalues decomposition developed by the authors in similar study are to be made available as option on the user interface.


**Table 2.** Estimated Log of decay rates and percentage error from fluorescence decay experiment ( *In*)


Matlab-Based Algorithm for Real Time Analysis of Multiexponential Transient Signals 441

**Table 3.** Singular values for SVD-ARMA using experimental data

The development of MATLAB-based algorithm for real-time analysis of multicomponent transient signal analysis based on SVD-ARMA modeling technique has been presented in this chapter. To enhance real-time interface and rapid prototyping on target hardware, complementary benefits of MATLAB and Labview were explored to develop real-time software interface downloadable into single board computer by NI Labview. In the absence of the spectrofluorometer system, the developed user friendly software for real-time deployment was validated with the collected real-time data. The obtained results indicate the effectiveness of the proposed integrated software for practical application of the

Future direction of this research will be directed towards development of customized spectrofluorometer sub-system that can be directly integrated to the overall system. This will eventually facilitate direct application of the developed algorithm in practical applications involving transient signal analysis. Also, other algorithms based on homomorphic and eigenvalues decomposition developed by the authors in similar study are

Mixture Expected value SVD-ARMA Percentage error

Acridine orange 0.5978 0.625 4.55

Fluorescein Sodium -1.4584 -1.438 1.40

Quinine -0.6419 -0.625 2.63

**Table 2.** Estimated Log of decay rates and percentage error from fluorescence decay experiment ( *In*

0.6539 0.6563 0.37


0.7750 0.761 1.81


0.5105 0.5325 4.31 -0.6152 -0.5938 3.48 -1.5260 -1.533 0.46

> )

**6. Conclusion/Future study** 

to be made available as option on the user interface.

proposed algorithm.

Acridine Orange +

Fluorescein Sodium

Acridine Orange + Fluorescein Sodium

Acridine Orange

+Quinine

+Quinine

**Figure 11.** Power distributions for Quinine in water

**Figure 12.** Power distribution Quinine plus Arcridine Sodium in water

**Figure 13.** Power distribution for Acridine Orange + Fluorescein + Sodium and quinine in water
