A novel adaptation scheme in the NLMS algorithm for echo cancellation

This paper presents a new normalized least mean square (NLMS) adaptation sc heme for echo cancellation. The scheme combines the advantages of the conve ntional Geigel algorithm with some initiative ideas. The Geigel is used for rough detection of double talk or echo path change within (a) over dot sho rt delay period, while a new control mechanism is proposed for further accu rate discrimination of double talk and echo path change and the correspondi ng real-time updating. Experiments show that stable performance is ensured during abrupt changes. Efficiency as well as effectiveness is increased.