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A digital signal processor (DSP) is a specialized microprocessor chip, with its architecture optimized for the operational needs of digital signal processing. [ 1 ] : 104–107 [ 2 ] DSPs are fabricated on metal–oxide–semiconductor (MOS) integrated circuit chips.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.
Hexagon is also known as QDSP6, standing for “sixth generation digital signal processor.” According to Qualcomm, the Hexagon architecture is designed to deliver performance with low power over a variety of applications. [3] [4] Each version of Hexagon has an instruction set and a micro-architecture. These two features are intimately related.
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space ...
Block diagrams of a single AsAP processor and the 6x6 AsAP 1.0 chip. AsAP uses several novel key features, of which four are: Chip multi-processor (CMP) architecture designed to achieve high performance and low power for many DSP applications. Small memories and a simple architecture in each processor to achieve high energy efficiency.
The Super Harvard Architecture Single-Chip Computer (SHARC) is a high performance floating-point and fixed-point DSP from Analog Devices. SHARC is used in a variety of signal processing applications ranging from audio processing, to single-CPU guided artillery shells to 1000-CPU over-the-horizon radar processing computers. The original design ...
The completely parallel realization as seen in figure 1 can be implemented in hardware by noting that block diagrams, and their corresponding Signal-flow graphs (SFGs) are a useful method of graphically representing any DSP algorithm that can be expressed as a linear constant coefficient difference equation.
FAUST is a textual language but block diagram oriented. It combines two approaches: functional programming and algebraic block diagrams, which are constructed via function composition. For that, FAUST relies on a block diagram algebra of five composition operations.