Abstract: A method may include measuring a physical quantity associated with a load driven by an amplifier, generating a windowing function having a variable length and based on a number of samples of the physical quantity to be processed, applying the windowing function to the physical quantity, performing a transform on the physical quantity as filtered by the windowing function, and determining a characteristic of the load based on the transform.

Abstract: Digital-to-analog converter (DAC) architecture, comprising: a matrix DAC array comprising a plurality of cells arranged in a first dimension and a second dimension, each cell comprising a local decoder configured to transition the cell between at least two states; and decoding circuitry configured to: receive a digital input signal; and control the plurality of local decoders based on a received digital input signal, wherein each incremental change in the digital input signal results in a transition of a single cell of the plurality of cells such that the plurality of cells transition in sequence, the sequence of transitions of the plurality of cells defining a path through the DAC array; wherein when the path proceeds in the first dimension, the path proceeds to an adjacent cell of the plurality of cells at least 50% of the time; and wherein when the path proceeds in the second dimension, the path proceeds to an adjacent cell of the plurality of cells at least 50% of the time.

Abstract: A system for reducing a local oscillator leakage component. The system includes a transmitter channel to transmit data modulated using a transmitter local oscillator frequency. A transmitted signal includes a transmitter local oscillator leakage component. The system also includes a receiver channel to receive the transmitted signal using a receiver local oscillator signal having a frequency offset from the transmitter local oscillator frequency. The received signal includes the transmitter local oscillator leakage component isolated from one or more receiver impairments. The system further includes a feedback loop from the receiver channel to the transmitter channel to identify a power of the isolated transmitter local oscillator leakage component and to generate a local oscillator leakage cancellation signal based on the identified power.

Abstract: A system for reducing a local oscillator leakage component. The system includes a transmitter channel to transmit data modulated using a transmitter local oscillator frequency. A transmitted signal includes a transmitter local oscillator leakage component. The system also includes a receiver channel to receive the transmitted signal using a receiver local oscillator signal having a frequency offset from the transmitter local oscillator frequency. The received signal includes the transmitter local oscillator leakage component isolated from one or more receiver impairments. The system further includes a feedback loop from the receiver channel to the transmitter channel to identify a power of the isolated transmitter local oscillator leakage component and to generate a local oscillator leakage cancellation signal based on the identified power.

Abstract: A method of cancelling alien noise in coordinated DSL lines, a method of smoothing an alien noise covariance estimate, and a processor and modem for cancelling alien noise in coordinated DSL lines. In one embodiment, the method of cancelling alien noise includes: (1) estimating alien noise vectors for at least some training symbols, (2) arranging the alien noise vectors in a matrix dimensioned for a number of coordinated DSL lines, (3) orthonormally transforming the matrix into a lower-triangular matrix and (4) computing alien noise prediction filters from the lower-triangular matrix.

Abstract: A method of cancelling alien noise in coordinated DSL lines, a method of smoothing an alien noise covariance estimate, and a processor and modem for cancelling alien noise in coordinated DSL lines. In one embodiment, the method of cancelling alien noise includes: (1) estimating alien noise vectors for at least some training symbols, (2) arranging the alien noise vectors in a matrix dimensioned for a number of coordinated DSL lines, (3) orthonormally transforming the matrix into a lower-triangular matrix and (4) computing alien noise prediction filters from the lower-triangular matrix.