Abstract:
Disclosed herein is convolutional neural network (CNN) system for generating a classification for an input image. According to an embodiment, the CNN system comprises a sequence of neural network layers configured to: derive a feature map based on at least the input image; puncture at least one selection among the feature map and a kernel by setting the value of one or more elements of a row of the at least one selection to zero according to a pattern and cyclic shifting the pattern by a predetermined interval per row to set the value of one or more elements of the rest of the rows of the at least one selection according to the cyclic shifted pattern; convolve the feature map with the kernel to generate a first convolved output; and generate the classification for the input image based on at least the first convolved output.
Abstract:
A electronic system includes: a support chip configured to receive an input code stream; a circular Viterbi mechanism, coupled to the support chip, configured to: generate a final path metric for the input code stream, store intermediate path metrics at the repetition depth, generate a repetition path metric for the input code stream, and calculate a soft correlation metric based on the final path metric, the repetition path metric, and the intermediate path metrics.
Abstract:
An apparatus and a method. The apparatus includes a singular value decomposition (SVD) processor configured to receive a channel matrix H and output samples y of an optimal precoding matrix for H; a linear phase estimation (LPE) processor connected to the SVD processor and configured to determine a phase estimate {circumflex over (θ)}l of an angle θl of a horizontal discrete Fourier transform (DFT) index l, where l is an integer; and a decision processor connected to the LPE processor and configured to determine a hard estimate of l.
Abstract:
A system and method for characterizing an interference demodulation reference signal (DMRS) in a piece of user equipment (UE), e.g., a mobile device. The UE determines whether the serving signal is transmitted in a DMRS-based transmission mode; if it is, the UE cancels the serving DMRS from the received signal; otherwise the UE cancels the serving data signal from the received signal. The remaining signal is then analyzed for the amount of power it has in each of four interference DMRS candidates, and hypothesis testing is performed to determine whether interference DMRS is present in the signal, and, if so, to determine the rank of the interference DMRS, and the port and scrambling identity of each of the interference DMRS layers.
Abstract:
An apparatus and a method. The apparatus includes a plurality of correlation processors configured to each receive a group of samples and generate correlations of each group of samples; a plurality of multipliers each configured to multiply the correlations of one of the plurality of correlation processors by a weight, wherein the weight of at least one of the plurality of multipliers is different from the weight of at least another one of the plurality of multipliers; a summation processor configured to sum the weight multiplied correlations of the plurality of multipliers for time n, where n is an integer; and a coarse timing and coarse frequency processor configured to generate a coarse timing and a coarse frequency based on the sum.
Abstract:
A method and apparatus is provided. The method includes determining a training data set comprising input and output data of a power amplifier, determining compensation data by regressing the training data using a frequency domain weighting function, storing the compensation data, and linearizing an output of the power amplifier using the stored compensation data.
Abstract:
A method for selecting a precoder from a codebook for a channel matrix H and an apparatus. The method includes determining, by a processor, a reference precoder V for the channel H and a phase rotation for V; for all codewords W from a codebook, determining, by the processor, phase rotations for W and phase distances based on differences between phases of elements of V and W; and selecting, by the processor, the codeword W with a minimum phase distance, wherein H has a size of NR×NT, NR is a number of receive antennas, NT is a number of transmit antennas, V has a size of NT×L, and L is a number of data layers transmitted simultaneously.
Abstract:
Methods and apparatuses are provided in which a processor of a transceiver selects one of a real component of a complex signal and an imaginary component of the complex signal. The complex signal has IQ imbalance. An adaptive filter of the transceiver performs a real multiplication operation using an adaptive filter coefficient and the one of the real component and the imaginary component of the complex signal to generate a complex compensation signal. An adder of the transceiver sums the complex signal and the complex compensation signal to generate a compensated signal in which the IQ imbalance is corrected. The compensated signal is output for digital processing.
Abstract:
A communication system includes: an inter-device interface configured to receive received signal including communication content; a communication circuit, coupled to the inter-device interface, configured to: determine an in-phase signal-component and a quadrature signal-component based on the received signal, calculate an adjustment value including a first adjustment and a second adjustment based on the in-phase signal-component and the quadrature signal-component according to a maximum-likelihood mechanism, and adjust the received signal based on the adjustment value for reducing an in-phase/quadrature imbalance between the in-phase signal-component and the quadrature signal-component in processing the communication content.
Abstract:
A computing system includes: an inter-device interface configured to receive receiver signal for communicating serving content through a communication channel; a communication unit, coupled to the inter-device interface, configured to: calculate a weighting set corresponding to a modular estimation mechanism, and generate a channel estimate based on the weighting set for characterizing the communication channel for recovering the serving content.