Abstract: Systems, methods, and apparatuses relating to a user defined formatting instruction to configure multicast Benes network circuitry are described.

Abstract: A vector processor includes a grouping memory functional unit coupled to grouping memory having multiple bins. The vector processor also includes a bitformatting functional unit that performs bit-level data arrangements using any suitable technique or network, such as a Benes network. The vector processor receives and reads an input vector of data that includes portions (e.g., bits) of multiple data streams, and writes each portion corresponding to a respective data stream to a respective bin in parallel using the bitformatting functional unit to align the data. The vector processor also or alternatively receives and reads multiple outgoing data streams, writes portions of the data streams in respective bins of the grouping memory, and intersperses the portions in an outgoing vector of data in parallel, using the bitformatting functional unit to align the data.

Abstract: Systems, methods, and apparatuses relating to a user defined formatting instruction to configure multicast Benes network circuitry are described.

Abstract: A vector processor includes a grouping memory functional unit coupled to grouping memory having multiple bins. The vector processor also includes a bitformatting functional unit that performs bit-level data arrangements using any suitable technique or network, such as a Benes network. The vector processor receives and reads an input vector of data that includes portions (e.g., bits) of multiple data streams, and writes each portion corresponding to a respective data stream to a respective bin in parallel using the bitformatting functional unit to align the data. The vector processor also or alternatively receives and reads multiple outgoing data streams, writes portions of the data streams in respective bins of the grouping memory, and intersperses the portions in an outgoing vector of data in parallel, using the bitformatting functional unit to align the data.

Abstract: A configurable generic filter hardware block and corresponding methods are provided. A configurable generic filter hardware block includes a plurality of multipliers; a plurality of adders; and one or more multiplexers. The, configurable generic filter hardware block is configured using a header data structure, and the header data structure includes a pointer to a memory location storing a plurality of input samples, a pointer to a memory location storing a plurality of output samples and a coefficient selection control value. The configurable generic filter hardware block is optionally invoked by a convolution instruction in one or more of a vector processor and a state machine. An exemplary Generic Filter Iteration loads input samples; selects coefficients; convolves the input samples and the selected coefficients and stores output samples. The header data structures are optionally stored sequentially in memory and processed in a single loop.

Abstract: A digital processor is provided having an instruction set with a complex exponential function. The digital processor evaluates a complex exponential function for an input value, x, by obtaining a complex exponential software instruction having the input value, x, as an input; and in response to the complex exponential software instruction: invoking at least one complex exponential functional unit that implements complex exponential software instructions to apply the complex exponential function to the input value, x; and generating an output corresponding to the complex exponential of the input value, x. A complex exponential function for an input value, x, can be evaluated by wrapping the input value to maintain a given range; computing a coarse approximation angle using a look-up table; scaling the coarse approximation angle to obtain an angle from 0 to ?; and computing a fine corrective value using a polynomial approximation.

Abstract: A configurable transmitter hardware block and corresponding methods for configuring and employing the configurable transmitter hardware block are provided. A configurable transmitter that supports a plurality of channel types comprises a bit selection/manipulation module that performs a bit selection function and/or a bit manipulation function; a modulation mapping module, a gain multiplication module; a spreading/scrambling module that performs a spreading function and/or a scrambling function; and a channel combining module, wherein the configurable transmitter is configured using a plurality of sets of control signals that configure one or more of the modules, wherein each of the sets of control signals are precomputed for a corresponding one of the channel types.

Abstract: A configurable generic filter hardware block and corresponding methods are provided. A configurable generic filter hardware block comprises a plurality of multipliers; a plurality of adders; and one or more multiplexers, wherein the configurable generic filter hardware block is configured using a header data structure, the header data structure comprises a pointer to a memory location storing a plurality of input samples, a pointer to a memory location storing a plurality of output samples and a coefficient selection control value. The configurable generic filter hardware block is optionally invoked by a convolution instruction in one or more of a vector processor and a state machine. An exemplary Generic Filter Iteration comprises loading input samples; selecting coefficients; convolving the input samples and the selected coefficients and storing output samples. Each Generic Filter Iteration has a corresponding header data structure.

Abstract: A digital processor is provided having an instruction set with a complex exponential function. The digital processor evaluates a complex exponential function for an input value, x, by obtaining a complex exponential software instruction having the input value, x, as an input; and in response to the complex exponential software instruction: invoking at least one complex exponential functional unit that implements complex exponential software instructions to apply the complex exponential function to the input value, x; and generating an output corresponding to the complex exponential of the input value, x. A complex exponential function for an input value, x, can be evaluated by wrapping the input value to maintain a given range; computing a coarse approximation angle using a look-up table; scaling the coarse approximation angle to obtain an angle from 0 to ?; and computing a fine corrective value using a polynomial approximation.

Abstract: The present invention utilizes a single DMA engine to process the requests of active DMA channels competing for transfer of data over a single bus. The invention employs two identical sets of DMA request registers which are connected to a processor. These register sets are connected through a switching means to the DMA engine. While a first DMA transfer represented by a first set of registers is active, the process enables preparation of the next request in a second set of registers. Upon completion of the first DMA transfer, the DMA engine is switched to commence processing of the DMA request represented by the second set of registers.

Abstract: The present invention provides a method and apparatus for improving the synchronization of timing signals in a system where firmware is being employed. In particular, the present invention enables the firmware to generate signals with a timing that is required by a hardware protocol. The resulting system is thus able to permit reasonable firmware changes without adversely effecting signal timing.