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3.1 Introduction. DSP architecture has been shaped by the requirements of predictable and accurate real-time digital signal processing. An example is the Finite Impulse Response (FIR) filter, with the corresponding mathematical equation (1), where y is the filter output, x is the input data and a is a vector of filter coefficients.
HW/SW Codesign 2010 Ch 2 - DSP extra. Classic DSP characteristics. • explicit parallelism. – Harvard architecture for concurrent data access. – concurrent operations on data and addresses. • optimized control flow and background processing. – zero-overhead loops. – DMA controllers. • special addressing modes.
Used for general purpose software q. Heavy weight OS - UNIX, NT q. Workstations, PC's. Embedded processors and processor cores q. ARM, 486SX, Hitachi SH7000, NEC V800 q. Single program q. Lightweight, often realtime OS q. DSP support q. Cellular phones, consumer electronics (e.g. CD players). Microcontrollers q.
26 Nov 2003 Intro to DSP Architecture. 0 What and Why of MACs. 0 Multiple Memory Accesses. 0 Fast Address Generation Units. 0 Fast Looping. 0 Specialized Instruction Sets. 0 Lots of I/O
8 Oct 2003 Digital Signal Processor (DSP) Architecture. • Classification of Processor Applications. • Requirements of Embedded Processors. • DSP vs. General Purpose CPUs. • DSP Cores vs. Chips. • Classification of DSP Applications. • DSP Algorithm Format. • DSP Benchmarks. • Basic Architectural Features of
floating-point devices in the C6000 DSP platform. The TMS320C67x+™ DSP is an enhancement of the C67x™ DSP with added functionality and an expanded instruction set. This document describes the. CPU architecture, pipeline, instruction set, and interrupts of the C67x and. C67x+™ DSPs. Notational Conventions.
Spring 2006. W. Rhett Davis. NC State University. ECE 406. Slide 1. ECE 747. Digital Signal Processing. Architecture. DSP Implementation Architectures. Spring 2006. W. Rhett Davis. NC State University
One of the biggest bottlenecks in executing DSP algorithms is transferring information to and from memory. This includes data, such as samples from the input signal and the filter coefficients, as well as program instructions, the binary codes that go into the program sequencer. For example, suppose we need to multiply two
Abstract - As far as the future of communica- tions is concerned, we have seen that there is great demand for audio and video data to complement text. Digital signal processing (DSP) is the sci- ence that enables traditionally analog audio and video signals to be processed digitally for trans- mission, storage, reproduction
o Digital Signal Processor Architecture applications of digital signal processing was mainly in speech followed by Communication, DSP. DAC. Analog Processor. LPF. Digital Processing. Fig. 7.1 The basic Signal Processing Platform. The above figure represents a Real Time digital signal processing system.
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