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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

A Domain Specific DSP Processor / En domänspecifik DSP-processor

Tell, Eric January 2001 (has links)
<p>This thesis describes the design of a domain specific DSP processor. The thesis is divided into two parts. The first part gives some theoretical background, describes the different steps of the design process (both for DSP processors in general and for this project) and motivates the design decisions made for this processor. </p><p>The second part is a nearly complete design specification. </p><p>The intended use of the processor is as a platform for hardware acceleration units. Support for this has however not yet been implemented.</p>
2

A Domain Specific DSP Processor / En domänspecifik DSP-processor

Tell, Eric January 2001 (has links)
This thesis describes the design of a domain specific DSP processor. The thesis is divided into two parts. The first part gives some theoretical background, describes the different steps of the design process (both for DSP processors in general and for this project) and motivates the design decisions made for this processor. The second part is a nearly complete design specification. The intended use of the processor is as a platform for hardware acceleration units. Support for this has however not yet been implemented.
3

A Multimedia DSP Processor Design / Design av en Multimedia DSP Processor

Gnatyuk, Vladimir, Runesson, Christian January 2004 (has links)
<p>This Master Thesis presents the design of the core of a fixed point general purpose multimedia DSP processor (MDSP) and its instruction set. This processor employs parallel processing techniques and specialized addressing models to speed up the processing of multimedia applications. </p><p>The MDSP has a dual MAC structure with one enhanced MAC that provides a SIMD, Single Instruction Multiple Data, unit consisting of four parallel data paths that are optimized for accelerating multimedia applications. The SIMD unit performs four multimedia- oriented 16- bit operations every clock cycle. This accelerates computationally intensive procedures such as video and audio decoding. The MDSP uses a memory bank of four memories to provide multiple accesses of source data each clock cycle.</p>
4

Benchmarking of Sleipnir DSP Processor, ePUMA Platform

Murugesan, Somasekar January 2011 (has links)
Choosing a right processor for an embedded application, or designing a new pro-cessor requires us to know how it stacks up against the competition, or sellinga processor requires a credible communication about its performance to the cus-tomers, which means benchmarking of a processor is very important. They arerecognized world wide by processor vendors and customers alike as the fact-basedway to evaluate and communicate embedded processor performance. In this the-sis, the benchmarking of ePUMA multiprocessor developed by the Division ofComputer Engineering, ISY, Linköping University, Sweden will be described indetails. A number of typical digital signal processing algorithms are chosen asbenchmarks. These benchmarks have been implemented in assembly code withtheir performance measured in terms of clock cycles and root mean square errorwhen compared with result computed using double precision. The ePUMA multi-processor platform which comprises of the Sleipnir DSP processor and Senior DSPprocessor was used to implement the DSP algorithms. Matlab inbuilt models wereused as reference to compare with the assembly implementation to derive the rootmean square error values of different algorithms. The execution time for differentDSP algorithms ranged from 51 to 6148 clock cycles and the root mean squareerror values varies between 0.0003 to 0.11.
5

Benchmarking a DSP processor / Benchmarking av en DSP processor

Lennartsson, Per, Nordlander, Lars January 2002 (has links)
<p>This Master thesis describes the benchmarking of a DSP processor. Benchmarking means measuring the performance in some way. In this report, we have focused on the number of instruction cycles needed to execute certain algorithms. The algorithms we have used in the benchmark are all very common in signal processing today. </p><p>The results we have reached in this thesis have been compared to benchmarks for other processors, performed by Berkeley Design Technology, Inc. </p><p>The algorithms were programmed in assembly code and then executed on the instruction set simulator. After that, we proposed changes to the instruction set, with the aim to reduce the execution time for the algorithms. </p><p>The results from the benchmark show that our processor is at the same level as the ones tested by BDTI. Probably would a more experienced programmer be able to reduce the cycle count even more, especially for some of the more complex benchmarks.</p>
6

A Multimedia DSP Processor Design / Design av en Multimedia DSP Processor

Gnatyuk, Vladimir, Runesson, Christian January 2004 (has links)
This Master Thesis presents the design of the core of a fixed point general purpose multimedia DSP processor (MDSP) and its instruction set. This processor employs parallel processing techniques and specialized addressing models to speed up the processing of multimedia applications. The MDSP has a dual MAC structure with one enhanced MAC that provides a SIMD, Single Instruction Multiple Data, unit consisting of four parallel data paths that are optimized for accelerating multimedia applications. The SIMD unit performs four multimedia- oriented 16- bit operations every clock cycle. This accelerates computationally intensive procedures such as video and audio decoding. The MDSP uses a memory bank of four memories to provide multiple accesses of source data each clock cycle.
7

Benchmarking a DSP processor / Benchmarking av en DSP processor

Lennartsson, Per, Nordlander, Lars January 2002 (has links)
This Master thesis describes the benchmarking of a DSP processor. Benchmarking means measuring the performance in some way. In this report, we have focused on the number of instruction cycles needed to execute certain algorithms. The algorithms we have used in the benchmark are all very common in signal processing today. The results we have reached in this thesis have been compared to benchmarks for other processors, performed by Berkeley Design Technology, Inc. The algorithms were programmed in assembly code and then executed on the instruction set simulator. After that, we proposed changes to the instruction set, with the aim to reduce the execution time for the algorithms. The results from the benchmark show that our processor is at the same level as the ones tested by BDTI. Probably would a more experienced programmer be able to reduce the cycle count even more, especially for some of the more complex benchmarks.
8

Řídicí modul BLDC motoru / BLDC Motor Control Module

Morávek, Lukáš January 2016 (has links)
Diploma thesis describes design and realization of hardware and software for controlling and regulation of the high-speed drive with BLDC motor, which will serve as a spindle for CNC milling machine. The thesis described in detail the schematic design and the design of printed circuit board of the power part, control part and power supply part of the three-phase transistor inverter controlled by DSP processor. It is also described in detail program of DSP processor for controlling and regulation of the BLDC motors, which the function is verified by the final measurements. The result of Diploma thesis is functional high-speed drive with BLDC motor.
9

Vývoj algoritmů pro digitální zpracování obrazu v reálním čase v DSP procesoru / Development of algorithms for digital real time image processing on a DSP Processor

Knapo, Peter January 2009 (has links)
Rozpoznávanie tvárí je komplexný proces, ktorého hlavným ciežom je rozpoznanie žudskej tváre v obrázku alebo vo video sekvencii. Najčastejšími aplikáciami sú sledovacie a identifikačné systémy. Taktiež je rozpoznávanie tvárí dôležité vo výskume počítačového videnia a umelej inteligencií. Systémy rozpoznávania tvárí sú často založené na analýze obrazu alebo na neurónových sieťach. Táto práca sa zaoberá implementáciou algoritmu založeného na takzvaných „Eigenfaces“ tvárach. „Eigenfaces“ tváre sú výsledkom Analýzy hlavných komponent (Principal Component Analysis - PCA), ktorá extrahuje najdôležitejšie tvárové črty z originálneho obrázku. Táto metóda je založená na riešení lineárnej maticovej rovnice, kde zo známej kovariančnej matice sa počítajú takzvané „eigenvalues“ a „eigenvectors“, v preklade vlastné hodnoty a vlastné vektory. Tvár, ktorá má byť rozpoznaná, sa premietne do takzvaného „eigenspace“ (priestor vlastných hodnôt). Vlastné rozpoznanie je na základe porovnania takýchto tvárí s existujúcou databázou tvárí, ktorá je premietnutá do rovnakého „eigenspace“. Pred procesom rozpoznávania tvárí, musí byť tvár lokalizovaná v obrázku a upravená (normalizácia, kompenzácia svetelných podmienok a odstránenie šumu). Existuje mnoho algoritmov na lokalizáciu tváre, ale v tejto práci je použitý algoritmus lokalizácie tváre na základe farby žudskej pokožky, ktorý je rýchly a postačujúci pre túto aplikáciu. Algoritmy rozpoznávania tváre a lokalizácie tváre sú implementované do DSP procesoru Blackfin ADSP-BF561 od Analog Devices.

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