Within the activities of the Network Engineering Department for the first semester, the department held a seminar entitled ” Adaptive Filtering: Technique and Applications” given by A.lecturer Ayman Mohammed.

Seminar summary:

In numerous applications of signal processing and communications, we are faced with the necessity to eliminate noise and distortion from the signals through implementing filters. However, removing that undesired interference using a traditional filter with fixed coefficients will fail to preserve the desired original signal but an adaptive filter will do that job. An adaptive filter is a self-learning computational device that iteratively models the relationship between the input and output signals of the filter. It self-adjusts its coefficients iteratively according to an adaptive algorithm until the ultimate goal of adaptation is achieved.

In this seminar, we basically discussed the technique that the adaptive filter uses and how it works. In addition, we came across several applications in which adaptive filters are essentially implemented such as noise cancellation in fetal heart rate monitoring, channel identification, mains hum noise suppression in electrocardiogram ECG, echo cancellation and background noise suppression. Afterward, the audience went through an interesting discussion about some recent headphone commercial products that offer active noise cancellation.

A number of professors and engineers from the college attend this seminar and a discussion session follows where questions and answers are shared.