Bandspeed, Inc.

Ninel Technology, LLC

Andrew Storm

Shane Michael Tonissen

Efstratios Skafidas

David Wu

Bryan Beresford-Smith

An update mechanism and approach are provided for configuring a communications receiver. According to the approach, a time domain equalizer and a frequency domain equalizer in a communications receiver are dynamically updated based upon performance data that indicates the performance of a communications channel from which the communications receiver receives data. This approach accounts for changes in the communications channel attributable to changes in the transmission medium or changes in interference sources.

Adaptive adjustment of time and frequency domain equalizers in communications systems

Embodiments of the invention provide for assigning bits to a discrete multi-tone modulation communications system. In an embodiment, one or more channels in the plurality of channels are assigned a number of bits based on a performance characteristic of that channel. One or more channels in the plurality of channels may also be assigned a gain value based on the performance characteristic of that channel.

Method for bit assignment and fine gain setting in a multi-carrier communications system

Bits are assigned to channels of a discrete modulation communications system. A first set of channels and a second set of channels are selected from a plurality of channels in the communications system. The first and second set of channels are selected in order to re-assign one or more bits from the first set of channels to the second set of channels so as to cause a performance characteristic of one or more channels in the communications system to improve.

Method for adaptive bit assignment and fine gain setting in a multi-carrier communications system

An approach for processing data received from a communications channel that minimizes noise power and optimizes impulse response length to reduce interference, such as from inter-symbol interference (ISI) and inter-channel interference (ICI), is disclosed. For example, finite impulse response (FIR) filtering may be used with FIR coefficients that are determined by optimizing a function of the impulse response length and the noise power. The impulse response length is optimized based on the communications channel transfer function to reduce interference. The noise power is minimized based on the noise covariance as determined using the total noise power density. The approach accounts for noise from a variety of interference sources besides ISI and ICI. The result is a superior equalizer for use in communications receivers employing orthogonal frequency division multiplexing or discrete multitone modulation in communications protocols employing Asymmetric Digital Subscriber Line, G.Lite and Very High Bit Rate DSL.

Approach for processing data received from a communications channel to reduce noise power and optimize impulse response length to reduce inter-symbol interference and inter-channel interference

An approach for processing data received from a communications channel in finite precision arithmetic applications generally involves equalizing received data in the time domain prior to demodulation using finite impulse response (FIR) filtering. FIR coefficients used in FIR filtering are selected to minimize SNR degradation attributable to ISI and roundoff errors due to finite precision arithmetic, thereby maximizing channel capacity. The approach considers the communications channel noise attributable to crosstalk, white noise and analog to digital converter quantization noise, ISI attributable to failure of the equalizer coefficients to completely eliminate ISI, round off noise due to the use of finite precision arithmetic in the equalizer and roundoff noise due to the use of finite precision arithmetic in the FFT algorithm.

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Hawthorn, Australia

Andrew Storm