Abstract: An I/Q imbalance compensation block of a RF receiver for compensating an imbalance between an in-phase component and a quadrature component of an RF signal is disclosed. The compensation block includes a conjugation block; an adaptive finite impulse response (FIR) filter; and an adder. The filter use filter coefficients iteratively updated at least partly in response to a compensated digital signal. The filter can have a complex number for at least one, but not all of filter taps, and real numbers for other filter taps. The filter can be provided with adaptation step sizes different from filter tap to filter tap. The filter can also be provided with an adaptation step size(s) varying over time. The filter can also be provided with an adaptation step size(s) divided by the square norm of the compensated signal.

Abstract: An I/Q imbalance compensation block of a RF receiver for compensating an imbalance between an in-phase component and a quadrature component of an RF signal is disclosed. The compensation block includes a conjugation block; an adaptive finite impulse response (FIR) filter; and an adder. The filter use filter coefficients iteratively updated at least partly in response to a compensated digital signal. The filter can have a complex number for at least one, but not all of filter taps, and real numbers for other filter taps. The filter can be provided with adaptation step sizes different from filter tap to filter tap. The filter can also be provided with an adaptation step size(s) varying over time. The filter can also be provided with an adaptation step size(s) divided by the square norm of the compensated signal.

Abstract: One embodiment includes a method that includes receiving a compressed video stream. The method also includes decoding a number of blocks of the compressed video stream to output a number of blocks of decoded video data. The decoding is based on at least one motion compensation vector. The method also includes deinterlacing the number of blocks of the decoded video data to output deinterlaced video data. The deinterlacing of one of the blocks of the number of blocks is based on the at least one motion compensation vector if a prediction error energy for the at least one motion compensation vector for the block is less than a threshold.

Abstract: A method includes determining a lowest-score interpolation direction among a plurality of interpolation directions. The method further includes calculating a candidate pixel value by interpolating along the lowest-score interpolation direction. The method further includes applying a median function to a set of pixel values. The set of pixel values includes (a) the candidate pixel value, (b) at least one pixel value from a line of pixels that is immediately above a pixel location that is currently being interpolated, and (c) at least one pixel value from a line of pixel values that is immediately below the pixel location that is currently being interpolated.

Abstract: A method for delivering control information together with sampled data between a DSP and an RF/analog front-end in a high speed communication modem, which embeds sampled data and control information in frames to be transferred over one interface. A frame may comprise various fields, each may consist of one or more bytes or octets. The frame may have a data field for carrying the sampled data, and at least one control field for transferring the control information to update RF/analog front-end registers. The control field may include an octet containing a control address, an octet containing a control command, and an octet containing control data. The frame may also provide means of synchronization, e.g., by using a sync field to identify the frame boundary.

Abstract: A method includes determining a lowest-score interpolation direction among a plurality of interpolation directions. The method further includes calculating a candidate pixel value by interpolating along the lowest-score interpolation direction. The method further includes applying a median function to a set of pixel values. The set of pixel values includes (a) the candidate pixel value, (b) at least one pixel value from a line of pixels that is immediately above a pixel location that is currently being interpolated, and (c) at least one pixel value from a line of pixel values that is immediately below the pixel location that is currently being interpolated.

Abstract: A device including a two-dimensional convolution unit to perform spatial image filtering. A reference frame mirroring unit is connected to the two-dimensional convolution unit. A mean square error (MSE) decision unit is connected to the two-dimensional convolution unit to perform motion estimation by selecting the displacement that minimizes MSE.

Abstract: A device including a two-dimensional convolution unit to perform spatial image filtering. A reference frame mirroring unit is connected to the two-dimensional convolution unit. A mean square error (MSE) decision unit is connected to the two-dimensional convolution unit to perform motion estimation by selecting the displacement that minimizes MSE.

Abstract: Locations of reference blocks of pixels of decoded interlaced video reference fields decoded from a compressed stream of video data are computed using motion vectors decoded from the same stream of video data. The reference block computed locations are de-interlaced with current blocks from current video fields decoded from the compressed streams of video data by low pass filtering light intensities of adjacent pixels of the reference and current blocks using low pass filter with coefficients adjustable according to discrete cosine transform (DCT) high frequency coefficients decoded from the coded stream. In addition, moving edges or objects of the de-interlaced blocks of pixels can be identified by comparing the decoded motion vector of the reference blocks to a threshold value. Then proper or more appealing light intensities for the moving edge pixels can be interpolated.

Abstract: A method includes determining a lowest-score interpolation direction among a plurality of interpolation directions. The method further includes calculating a candidate pixel value by interpolating along the lowest-score interpolation direction. The method further includes applying a median function to a set of pixel values. The set of pixel values includes (a) the candidate pixel value, (b) at least one pixel value from a line of pixels that is immediately above a pixel location that is currently being interpolated, and (c) at least one pixel value from a line of pixel values that is immediately below the pixel location that is currently being interpolated.

Abstract: A method includes receiving a sequence of samples that represents a row of pixels in an image. The method further includes selecting a re-scaling factor for at least a portion of the row of pixels. The method further includes selecting a filter from a bank of low pass filters based on the selected re-scaling factor, and low-pass filtering the sequence of samples with the selected filter. The method further includes up-sampling the low-pass-filtered sequence of samples by a factor M with a polyphase filter bank having a windowed sinc(t) characteristic to the up-sampled sequence of samples, and down-sampling the polyphase-filtered sequence of samples.

Abstract: A method includes receiving a sequence of input samples that represents a row of pixels in an image. The method further includes selecting a re-scaling factor for at least a portion of the row of pixels. The method further includes determining a phase offset based on the selected re-scaling factor, and applying a direct B-spline transform to a group of the samples to generate transform coefficients. The method further includes providing the transform coefficients as an input to a filter bank, and applying the phase offset at an output of the filter bank to generate a sequence of output samples.

Abstract: A method includes receiving a sequence of samples that represents a row of pixels in an image. The method further includes selecting a re-scaling factor for at least a portion of the row of pixels. The method further includes selecting a filter from a bank of low pass filters based on the selected re-scaling factor, and low-pass filtering the sequence of samples with the selected filter. The method further includes up-sampling the low-pass-filtered sequence of samples by a factor M with a polyphase filter bank having a windowed sinc(t) characteristic to the up-sampled sequence of samples, and down-sampling the polyphase-filtered sequence of samples.

Abstract: A method includes receiving a sequence of input samples that represents a row of pixels in an image. The method further includes selecting a re-scaling factor for at least a portion of the row of pixels. The method further includes determining a phase offset based on the selected re-scaling factor, and applying a direct B-spline transform to a group of the samples to generate transform coefficients. The method further includes providing the transform coefficients as an input to a filter bank, and applying the phase offset at an output of the filter bank to generate a sequence of output samples.

Abstract: A method includes determining a lowest-score interpolation direction among a plurality of interpolation directions. The method further includes calculating a candidate pixel value by interpolating along the lowest-score interpolation direction. The method further includes applying a median function to a set of pixel values. The set of pixel values includes (a) the candidate pixel value, (b) at least one pixel value from a line of pixels that is immediately above a pixel location that is currently being interpolated, and (c) at least one pixel value from a line of pixel values that is immediately below the pixel location that is currently being interpolated.

Abstract: Locations of reference blocks of pixels of decoded interlaced video reference fields decoded from a compressed stream of video data are computed using motion vectors decoded from the same stream of video data. The reference block computed locations are de-interlaced with current blocks from current video fields decoded from the compressed streams of video data by low pass filtering light intensities of adjacent pixels of the reference and current blocks using low pass filter with coefficients adjustable according to discrete cosine transform (DCT) high frequency coefficients decoded from the coded stream. In addition, moving edges or objects of the de-interlaced blocks of pixels can be identified by comparing the decoded motion vector of the reference blocks to a threshold value. Then proper or more appealing light intensities for the moving edge pixels can be interpolated.

Abstract: A device including a two-dimensional convolution unit to perform spatial image filtering. A reference frame mirroring unit is connected to the two-dimensional convolution unit. A mean square error (MSE) decision unit is connected to the two-dimensional convolution unit to perform motion estimation by selecting the displacement that minimizes MSE.

Abstract: One embodiment includes a method that includes receiving a compressed video stream. The method also includes decoding a number of blocks of the compressed video stream to output a number of blocks of decoded video data. The decoding is based on at least one motion compensation vector. The method also includes deinterlacing the number of blocks of the decoded video data to output deinterlaced video data. The deinterlacing of one of the blocks of the number of blocks is based on the at least one motion compensation vector if a prediction error energy for the at least one motion compensation vector for the block is less than a threshold.