Estimation of Object Parameters
To achieve the best results, algorithms for processing digital signals should take into account the specific features of the digital signals to be processed. These features to a large extent depend on the chosen and used sampling and quantizing methods. The latter, in turn, depend on the given task to be solved. Thus the task actually dictates the requirements that have to be satisfied when choosing and using signal digitizing and processing techniques.
In the previous chapters an attempt has been made to show that signals could be digitized and processed in various ways and that it is essential to use appropriate methods and techniques. This helps to meet requirements of many different applications and the discussed methods for signal digitizing and processing actually cover a wide application field where good results can be achieved. On the other hand, in some areas it is easier to be successful than in others. One such application area where it is relatively easy to get good results at solving challenging tasks is considered in this chapter. This is the area where signal processing is carried out to identify objects and to evaluate their parameters by analysing the signals reflecting the reaction of these objects to some excitation signals. The parameters and characteristics of the excitation signals are usually known. Access to this valuable information makes it easier to keep algorithms relatively simple and to achieve high performance.