Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that provide an apparatus to monitor watermark encoder operation, the apparatus comprising: a data collector to collect one or more types of heartbeat data from a watermark encoder, the heartbeat data including time varying data, the one or more types of the heartbeat data defined by a software development kit (SDK); a machine learning engine to process the heartbeat data to predict whether the watermark encoder is associated with respective ones of a plurality of failure modes; and an alert generator to, in response to the machine learning engine predicting the watermark encoder is associated with a first one of the failure modes: generate an alert indicating the at least one of the one or more components to be remedied according to the first one of the failure modes; and transmit the alert to a watermark encoder management agent.

Abstract: Methods and apparatus to perform an automated gain control protocol with an amplifier based on historical data corresponding to contextual data are disclosed. Example apparatus disclosed herein include a first controller to, in response to a trigger to identify an automatic gain control (AGC) parameter for an AGC protocol, determine the AGC parameter for the AGC protocol based on historical data corresponding to contextual data. Disclosed example apparatus also include a processor to perform the AGC protocol based on the selected AGC parameter. Disclosed example apparatus further include a second controller to update the historical data based on the contextual data and a result of the AGC protocol.

Abstract: Methods and apparatus to perform an automated gain control protocol with an amplifier based on historical data corresponding to contextual data are disclosed. Example apparatus disclosed herein include a first controller to, in response to a trigger to identify an automatic gain control (AGC) parameter for an AGC protocol, determine the AGC parameter for the AGC protocol based on historical data corresponding to contextual data. Disclosed example apparatus also include a processor to perform the AGC protocol based on the selected AGC parameter. Disclosed example apparatus further include a second controller to update the historical data based on the contextual data and a result of the AGC protocol.

Abstract: Methods and apparatus to determine automated gain control parameters for an automated gain control protocol are disclosed. An example apparatus includes a first tuner to amplify an audio signal. Disclosed example apparatus also include a second tuner to amplify the audio signal. Disclosed example apparatus also include a first controller to tune the first tuner to apply a first gain representative of a first range of gains to the audio signal to determine a first amplified audio signal and tune the second tuner to apply a second gain representative a second range of gains to the audio signal to determine a second amplified audio signal, the second range of gains lower than the first range of gains. Disclosed example apparatus also include a second controller to select the first range of gains to be utilized in an automated gain control protocol when the first gain results in clipping of the first amplified audio signal and the second gain does not result in clipping of the second amplified audio signal.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for facilitating network credential updates for media meters. An example method disclosed herein includes accessing a monitoring record from a media monitor received over secondary communication network, determining, by executing an instruction with at least one processor, an Internet protocol (IP) address associated with a primary communication network based on a household associated with the monitoring record, transmitting a request to the IP address and in response to not receiving a response from the IP address, transmitting a notification to a mobile device associated with the household, the notification indicating that a network credential associated with the media monitor is to be updated.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that provide an apparatus to monitor watermark encoder operation, the apparatus comprising: a data collector to collect one or more types of heartbeat data from a watermark encoder, the heartbeat data including time varying data, the one or more types of the heartbeat data defined by a software development kit (SDK); a machine learning engine to process the heartbeat data to predict whether the watermark encoder is associated with respective ones of a plurality of failure modes; and an alert generator to, in response to the machine learning engine predicting the watermark encoder is associated with a first one of the failure modes: generate an alert indicating the at least one of the one or more components to be remedied according to the first one of the failure modes; and transmit the alert to a watermark encoder management agent.