Cisco Technology, Inc.

Richard Meller

Denis Downey

Koen Van Renterghem

Glendon Leo Akins, Iii

James An

Hang Jin

John T Chapman

Feisal Y Daruwalla

Nicos Achilleoudis

Roland G Chan

Indication of an amount of processing performed in detection and removal of ingress noise may be provided. A frequency domain representation of a narrowband region of a digital input signal may be received. The received frequency domain representation of the narrowband region may be compared with a predetermined threshold. Results from the comparison of the received frequency domain representation of the narrowband region with the predetermined threshold may be aggregated. Based on the aggregated results, an indication of an amount of processing performed by an ingress exciser in removing the ingress noise may be provided.

Ingress cancellation tachometer

Indication of an amount of processing performed in detection and removal of ingress noise may be provided. A frequency domain representation of a narrowband region of a digital input signal may be received. The received frequency domain representation of the narrowband region may be compared with a predetermined threshold. Results from the comparison of the received frequency domain representation of the narrowband region with the predetermined threshold may be aggregated. Based on the aggregated results, an indication of an amount of processing performed by an ingress excizer in removing the ingress noise may be provided.

Presented herein are non-disruptive noise estimation techniques that utilize a correlation between attributes of a received signal and the noise to generate estimated noise values for symbols of the signal. More specifically, a digital signal comprising symbols transmitted over a telecommunications network is received. For each of a plurality of the symbols, an estimated noise value associated with the respective symbol is generated through a correlation of a log-likelihood ratio (LLR) value to predetermined noise values. The estimated noise values for the plurality of symbols are used to generate noise information representing time and frequency characteristics of noise in the telecommunications network.

Non-disruptive network noise measurement

Presented herein are pilot-less noise estimation techniques that utilize a correlation between attributes of a received signal and the noise to generate signal-to-noise ratio (SNR) estimate for the signal. More specifically, an interval of a digital signal is received a log-likelihood ratio (LLR) value is calculated for a plurality of bits in the interval of the signal. A scalar value that relates to a distribution of the calculated LLR values is computed. The SNR for the interval of the signal is determined based on a predetermined correlation between the scalar value and noise within the received interval of the signal.

Pilot-less noise estimation

The present disclosure relates an improved cable data switching unit that provides a fail-over system whereby one line card can protect a plurality of US (upstream) or DS (downstream) channel line cards, providing N+1 protection, with one linecard being able to protect N number of working linecards. When a failure is detected in a working linecard, the signals being routed by the failing linecards are re-routed seamlessly to a protect linecard. This disclosure provides for data to be passively routed, providing for data flow even if power is lost.

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Sunnyvale, CA, United States of America

Richard Meller