Introduction to A Simulator For Depicting And Comparing Adaptive Algorithms In Signal Processing Seminar Topic:

We live in an extremely speedy and swift world, it is pretty tough to come up with a judgment on various decision making process in a simple way. The comparison of algorithms output is very difficult to view and process and this proposed system would enable the user to see the best output coming out of an algorithm.

During noise suppression, there are a lot of digital filters involved in and the noise coming out of a signal or the characteristic of a signal cannot be found out or hypothesized making it very hard to design such filters. To find a solution to these prediction problems, adaptive filters are designed by adaptive algorithm and include coefficient filters in it.

Types of adaptive algorithms:

  • Least mean square
  • Normalized least mean square
  • Recursive least square
  • Signed least mean square
  • Signed normalized least mean square

There would be a user interface associated with these filters and the application is developed under MATLAB platform. A voice signal which is corrupted and working under real time is used to depict the results of comparison of algorithm performance. The advantage and disadvantage of each and every algorithm is recorded and analyzed carefully using these filters. The use of adaptive filters is to cancel the noises and this is done with the help of noise cancelers.

Another major application is for adaptive line enhancement which enhances the signal which is harmonic and the whole wide band noise would be suppressed. The modeling of plant process and the replacement of it are done using system identification process.  To increase the performance of a system, it is absolutely necessary to know which algorithm would provide the best result. A simulator will observe the positives and negatives of each algorithm. The better among the algorithms are chosen by the user enhancing the system’s overall efficiency.

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