Abstract: A method of extracting features for a voice recognition system of a wireless communication device. The wireless communication device includes a transmitter and a receiver coupled to a call processor, a microphone for inputting audible sounds, and an analog-to-digital converter coupled to the microphone to output digital signals. The call processor includes a coefficient generator coupled to the analog-to-digital converter and generating representative coefficients, a differentiator coupled to the coefficient generator to generate delta coefficients, and an extractor outputting a portion of the representative coefficients and the delta coefficients as a feature vector for use in voice recognition, wherein every other representative coefficient is used in the feature vector.

Abstract: A unique method improves channel scanning by reducing the time required to scan channels. The method reduces the number of channels which must be scanned using information previously obtained in a scan. If two sets of channels which overlap are scanned in two separate scanning steps (522), information obtained in a first channel scan can be used, thereby eliminating the time required for a second channel scan. For example, if the dedicated control channels and the paging channels of a cellular telephone system overlap, the channels which overlap need not be scanned during the channel scan of the paging channels. The method further reduces scanning time by ending the channel scanning of a particular channel if an undesired channel type is detected (808).