Abstract:
Lossy tensor compression and decompression circuits compress and decompress tensor elements based on the values of neighboring tensor elements. The lossy compression circuit scales each decompressed tensor element of a tile by a scaling factor that is based on the maximum value that can be represented by the number of bits used to represent a compressed tensor element, and the greatest value and least value of the tensor elements of the tile. The lossy decompression circuit performs the inverse of the lossy compression. The compression circuit and decompression circuit have parallel multiplier circuits and parallel adder circuits to perform the lossy compression and lossy decompression, respectively.
Abstract:
Methods and systems are presented in this disclosure for implementing forward error correction in cloud and data center storage devices based on low-density parity-check (LDPC) channel coding. A forward error correction circuit presented herein includes a first LDPC decoder configured to perform hard-decision LDPC decoding of data read from a storage medium through a first read channel. The forward error correction circuit further includes a hybrid LDPC decoder selectively configurable to perform a selected one of hard-decision LDPC decoding and soft-decision LDPC decoding of data read from the storage medium through a second read channel, wherein, responsive to a control signal generated based, at least in part, on one or more parameters indicative of condition of the storage medium, the hybrid LDPC decoder is switchable between hard-decision LDPC decoding and soft-decision LDPC decoding.
Abstract:
A system includes an integrated circuit configured to communicating data in a channel. A channel matrix for the channel including a plurality of columns is received. A preprocessing step is performed, using a preprocessing unit, to compute a plurality of preprocessed column values corresponding to respective columns. An update step is performed, using an update unit, to update an estimation vector using a plurality of outer-loop iterations of an outer loop. Each outer-loop iteration updates the estimation vector using the plurality of preprocessed column values. An access link process is performed using the estimation vector.
Abstract:
An apparatus, and related method, relates generally to viable bandwidth filtering. In such an apparatus, an analysis filter bank has path filters associated with different bandwidths and is configured for filtering and transforming an input signal having a first bandwidth into a first interleaved output. A mask is coupled to the analysis filter bank and configured for masking at least one narrowband time signal of the first interleaved output. A synthesis filter bank is coupled to the mask. The synthesis filter bank is configured for transforming and filtering the masked first interleaved output to generate a second interleaved output for constructing an output signal having a second bandwidth. The second bandwidth is different than the first bandwidth for the variable bandwidth filtering.
Abstract:
An apparatus relates generally to preconditioning an input signal. In this apparatus, a first digital predistortion module and a second digital predistortion module are for receiving the input signal for respectively providing a first predistorted signal and a second predistorted signal. A combiner is for combining the first predistorted signal and the second predistorted signal for providing an output signal. The first digital predistortion module includes a moving mean block for receiving the input signal for providing a moving mean signal. The first digital predistortion module further includes a digital predistorter for receiving the input signal and the moving mean signal for providing the first predistorted signal.
Abstract:
An apparatus, as well as a method therefor, relates generally to managing reliability of a solid state storage. In such an apparatus, there is a memory controller for providing a code rate. An encoder is for receiving input data and the code rate for providing encoded data. The solid-state storage is for receiving and storing the encoded data. A decoder is for accessing the encoded data stored in the solid-state storage and for receiving the code rate for providing decoded data of the encoded data accessed. The decoded data is provided as soft decisions representing probabilities of the decoded data. The memory controller is for receiving the decoded data for adjusting the code rate responsive to the probabilities of the decoded data.
Abstract:
Apparatus, system and method relates generally to data communication with noise-shaping crest factor reduction using polyphase transformation. In such a method, a composite signal is received by a delay and a waveform generator. The waveform generator is for noise-shaping crest factor reduction using polyphase transformation. The composite signal is delayed by the delay to provide a delayed composite signal. A waveform is generated by the waveform generator from the composite signal. The waveform is output from the waveform generator having clipping noise with respect to bands of corresponding carriers of the composite signal. The waveform is subtracted from the delayed version of the composite signal for peak-to-amplitude power ratio reduction. A reduced peak version of the delayed version of the composite signal delayed is output from the signal combiner.
Abstract:
An apparatus relating generally to matrix inversion is disclosed. This apparatus includes a matrix inversion module coupled to receive matrix information and to provide an approximation of an inversion of the matrix information. The matrix inversion module comprises a decomposition block coupled to receive the matrix information and to decompose the matrix information into diagonal matrix information and off diagonal matrix information, and an expansion block. The expansion block is coupled to receive the diagonal matrix information and the off diagonal matrix information, and to invert a matrix sum of the diagonal matrix information and the off diagonal matrix information by generation of a portion of a series expansion.
Abstract:
Method and system relating generally to convolution is disclosed. In such a method, an image patch is selected from input data for a first channel of a plurality of input channels of an input layer. The selected image patch is transformed to obtain a transformed image patch. The transformed image patch is stored. Stored is a plurality of predetermined transformed filter kernels. A stored transformed filter kernel of the plurality of stored predetermined transformed filter kernels is element-wise multiplied by multipliers with the stored transformed image patch for a second channel of the plurality of input channels different from the first channel to obtain a product. The product is inverse transformed to obtain a filtered patch for the image patch.
Abstract:
A digital predistortion (DPD) system includes an input configured to receive a DPD input signal. In some embodiments, a non-linear datapath is coupled to the input, where the non-linear datapath includes a plurality of parallel datapath elements each coupled to the input. By way of example, each of the plurality of parallel datapath elements is configured to add a different inverse non-linear component to the DPD input signal corresponding to a non-linear component of an amplifier. In various examples, a first combiner combines an output of each of the plurality of datapath elements to generate a first predistortion signal. In some embodiments, the DPD system further includes a linear datapath coupled to the input in parallel with the non-linear datapath to generate a second predistortion signal. In addition, a second combiner combines the first predistortion signal and the second predistortion signal to generate a DPD output signal.