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The DSP implementation in the folding algorithm is a Data flow graph(DFG), which is a graph composed of functional nodes and delay edges. Another input for folding algorithm is folding set which is the function maps an operation unit of original DFG to an operation of transformed DFG with the number n <= N indicated the order of reused operation.
The DSP has a VLIW/SIMD architecture. It consists of a 32-bit RISC core and a 64-bit vector co-processor. The vector co-processor supports vector operations with elements of variable bit length (US Pat. 6539368 B1) and is optimized to support the implementation of artificial neural networks. [1] [2] From this derives the name NeuroMatrix Core ...
The original DFG is composed of 2 nodes and 1 edge with 37 delays. The unfolding process uses J = 4 as its unfolding factor. The algorithm first duplicates node U and V to 4 U nodes and 4 Vnodes. Then, it perform reconnecting on the nodes with corresponding delays, like U 2 connects to V with index (2 + 37)%4
A typical digital processing system. Digital signal processing (DSP) algorithms typically require a large number of mathematical operations to be performed quickly and repeatedly on a series of data samples. Signals (perhaps from audio or video sensors) are constantly converted from analog to digital, manipulated digitally, and then converted ...
TMS320 is a blanket name for a series of digital signal processors (DSPs) from Texas Instruments. It was introduced on April 8, 1983, through the TMS32010 processor, which was then the fastest DSP on the market. The processor is available in many different variants, some with fixed-point arithmetic and some with floating-point arithmetic.
MIPS Digital Signal Processing (DSP) [ edit ] The DSP ASE is an optional extension to the MIPS32/MIPS64 Release 2 and newer instruction sets which can be used to accelerate a large range of "media" computations—particularly audio and video.
Multidimensional Digital Signal Processing (MDSP) refers to the extension of Digital signal processing (DSP) techniques to signals that vary in more than one dimension. . While conventional DSP typically deals with one-dimensional data, such as time-varying audio signals, MDSP involves processing signals in two or more dimens
In digital signal processing (DSP), parallel processing is a technique duplicating function units to operate different tasks (signals) simultaneously. [1] Accordingly, we can perform the same processing for different signals on the corresponding duplicated function units.