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A modified time domain orthogonality algorithm (MTDO) for adaptive filters is presented anddescribed. The results of computer simulation show that the algorithm has two characteristics: 1.the same convergence factor c can be used within a fairly wide range of signal to noise ratio (SNR)of input signal. 2. MTDO adaptive noise canceller has a useful characteristic, i. e. at the same signalto noise ratio of input desired signal the input reference signal power is uncorrelated with the conver-gence factor c. Therefore one adaptive noise canceller can be used more flexibly. The performanceof spectral estimates of the MTDO adaptive system is obtained by us experimentally and comparedwith the least mean square algorithm adaptive system.
A modified time domain orthogonality algorithm (MTDO) for adaptive filters is presented and described. The results of computer simulation show that the algorithm has two characteristics: 1. the same convergence factor c can be used within a fairly wide range of signal to noise ratio ( SNR) of the input signal. 2. MTDO adaptive noise canceller has a useful characteristic, ie at the same signal to noise ratio of input desired signal the input reference signal power is uncorrelated with the convergent factor c. used more flexibly. The performance of spectral estimates of the MTDO adaptive system is obtained by us experimentally and compared with the least mean square algorithm adaptive system.