MODIFIED TIME DOMAIN ORTHOGONALITY ALGORITHM FOR ADAPTIVE FILTERS AND IT S APPLICATIONS
自适应滤波器的修正的时域正交性算法及其应用

A comparison of the performances of two algorithms-least mean square (LMS) and modified time domain orthogonality (MTDO) for an adaptive filter is made. Computer simulations of these two algorithms show that MTDO has an important advantage, that is, the same convergenee factor can be used within wider range of signal to noise ratio of input signal in noise caneeller and line enhancer. MTDO adaptive noise caneeller has a useful characteristic, that is, at the same signal to noise ratio, the power of input reference signal is not correlated with the convergence factor. The comparison of convergence value of mean square error (MSE) of both LMS and MTDO with theoretical minimum value of MSE is given. The performances of spectral estimates of LMS and MTDO adaptive system are obtained experimentally.