Systems, methods, and processor readable media are disclosed for detection of signal quality problems and errors in digital radio broadcast signals. First monitoring equipment is located in an over-the-air coverage area of a first radio station. Second monitoring equipment is located in an over-the-air coverage area of a second radio station. The first and second monitoring equipment are configured to receive digital radio broadcast signals from the respective first and second radio stations. A computing system is configured to receive data from the first monitoring equipment and the second monitoring equipment, the data being indicative of one or more attributes of a digital radio broadcast signal received at respective monitoring equipment. The computing system analyzes received data to detect a signal quality problem or error in the digital radio broadcast signals received at the first and second monitoring equipment.

Systems, methods, and processor readable media are disclosed for detection of signal quality problems and errors in digital radio broadcast signals. First monitoring equipment is located in an over-the-air coverage area of a first radio station. Second monitoring equipment is located in an over-the-air coverage area of a second radio station. The first and second monitoring equipment are configured to receive digital radio broadcast signals from the respective first and second radio stations. A computing system is configured to receive data from the first monitoring equipment and the second monitoring equipment, the data being indicative of one or more attributes of a digital radio broadcast signal received at respective monitoring equipment. The computing system analyzes received data to detect a signal quality problem or error in the digital radio broadcast signals received at the first and second monitoring equipment.

Techniques for use in determining redress measures for a television (TV) service outage based on impact analysis are described. A TV service outage may be associated with a TV system apparatus including a TV user interface (UI). In one illustrative example, one or more subscribers impacted by the TV service outage are determined. An impact score is determined for each one of the subscribers. A redress measure for each one of the subscribers is then determined in accordance with their corresponding impact scores. An impacted subscriber and/or an impact score may be determined based at least in part on subscriber TV usage data or subscriber TV UI usage data.

Techniques for use in determining redress measures for a television (TV) service outage based on impact analysis are described. A TV service outage may be associated with a TV system apparatus including a TV user interface (UI). In one illustrative example, one or more subscribers impacted by the TV service outage are determined. An impact score is determined for each one of the subscribers. A redress measure for each one of the subscribers is then determined in accordance with their corresponding impact scores. An impacted subscriber and/or an impact score may be determined based at least in part on subscriber TV usage data or subscriber TV UI usage data.

Methods for locating noise in a CATV system are disclosed. The methods may use a probe or instrument configured to be coupled to a port of the CATV system. The probe may be operable to selectively filter signals in the CATV system to suppress the frequencies at which noise may be present in the CATV system. In some embodiments, the methods may also use a signal level meter, and the probe may be configured to be coupled to the signal level meter to detect and locate noise in the CATV system.

Methods for locating noise in a CATV system are disclosed. The methods may use a probe or instrument configured to be coupled to a port of the CATV system. The probe may be operable to selectively filter signals in the CATV system to suppress the frequencies at which noise may be present in the CATV system. In some embodiments, the methods may also use a signal level meter, and the probe may be configured to be coupled to the signal level meter to detect and locate noise in the CATV system.

Small changes in a broadcast version of a base media item can be identified by performing a multi-level comparison of digital fingerprints. A fingerprint of a base media item is compared to a fingerprint of a media broadcast to determine whether a media item embedded in a broadcast is likely, to a first level of certainty, to be the base media item. A second, more stringent, match between the fingerprint of the base media item and loosely matched items can be used to identify potentially-altered versions of the base media item. Potentially-altered versions can be compared against each other, and resulting matches are flagged as altered base media items, which can be fingerprinted and tested against broadcast fingerprints in the same manner as the base media item. Comparisons are made in parallel between two fingerprints to distinguish between a known base media item and unknown altered versions of the known base media item without prior storage of the unknown altered versions of the known base media item.

Small changes in a broadcast version of a base media item can be identified by performing a multi-level comparison of digital fingerprints. A fingerprint of a base media item is compared to a fingerprint of a media broadcast to determine whether a media item embedded in a broadcast is likely, to a first level of certainty, to be the base media item. A second, more stringent, match between the fingerprint of the base media item and loosely matched items can be used to identify potentially-altered versions of the base media item. Potentially-altered versions can be compared against each other, and resulting matches are flagged as altered base media items, which can be fingerprinted and tested against broadcast fingerprints in the same manner as the base media item. Comparisons are made in parallel between two fingerprints to distinguish between a known base media item and unknown altered versions of the known base media item without prior storage of the unknown altered versions of the known base media item.

Example methods disclosed herein to resolve media source detection ambiguities include detecting an ambiguity condition associated with media source detection when monitoring media presented by a media output device in communication with at least two media source devices, and in response to detecting the ambiguity condition, determining a source of the media output from the media output device using motion data reported by accelerometers affixed to remote control devices associated with the at least two media source devices. Example methods disclosed herein to resolve simulcast crediting ambiguities include detecting an ambiguity condition associated with simulcast broadcasting when monitoring media presented by a media output device, and in response to detecting the ambiguity condition, adjusting a time associated with a channel change using motion data reported by an accelerometer affixed to a remote control device associated with the media output device.

Example methods disclosed herein to resolve media source detection ambiguities include detecting an ambiguity condition associated with media source detection when monitoring media presented by a media output device in communication with at least two media source devices, and in response to detecting the ambiguity condition, determining a source of the media output from the media output device using motion data reported by accelerometers affixed to remote control devices associated with the at least two media source devices. Example methods disclosed herein to resolve simulcast crediting ambiguities include detecting an ambiguity condition associated with simulcast broadcasting when monitoring media presented by a media output device, and in response to detecting the ambiguity condition, adjusting a time associated with a channel change using motion data reported by an accelerometer affixed to a remote control device associated with the media output device.