document: A new identification approach for FIR models The identification of stochastic discrete systems disturbed with noise is discussed in this brief . The concept of general prediction error -LRB- GPE -RRB- criterion is introduced for the time-domain estimate with optimal frequency estimation -LRB- OFE -RRB- introduced for the frequency-domain estimate . The two estimation methods are combined to form a new identification algorithm , which is called the empirical frequency-domain optimal parameter -LRB- EFOP -RRB- estimate , for the finite impulse response -LRB- FIR -RRB- model interfered by noise . The algorithm theoretically provides the global optimum of the model frequency-domain estimate . Some simulation examples are given to illustrate the new identification method
doc_bio_tags: O O B I O B I O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: identification approach fir models stochastic discrete systems optimal frequency estimation
abstractive_keyphrases: general prediction error criterion time-domain estimate frequency-domain estimate empirical frequency-domain optimal parameter estimate