Sökning: "DSP"

Visar resultat 1 - 5 av 186 uppsatser innehållade ordet DSP.

  1. 1. Evaluation of high-level synthesis tools for generation of Verilog code from MATLAB based environments

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Carl Bäck; [2020]
    Nyckelord :HLS; System Generator for DSP; Histogram; Xilinx Zynq UltraScale ; FPGA design workflow; Hardware Description Language Coder; HDL Coder; Field Programmable Gate Arrays; Image processing;

    Sammanfattning : FPGAs are of interest in the signal processing domain as they provide the opportunity to run algorithms at very high speed. One possible use case is to sort incoming data in a measurement system, using e.g. a histogram method. LÄS MER

  2. 2. A Hardware Accelerated Low Power DSP for Recurrent Neural Networks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Allan Andersen; Ilayda Yaman; [2020]
    Nyckelord :Digital Signal Processor; Hardware Accelerator; Machine Learning; Deep Learning; Recurrent Neural Networks; Gated Recurrent Unit; Technology and Engineering;

    Sammanfattning : Recurrent neural networks (RNNs) have become a dominating player for processing of sequential data such as speech and audio. The reason for this, is the high accuracy that can be achieved with the more complex variants, such as the gated recurrent unit (GRU). LÄS MER

  3. 3. DSP Design With Hardware Accelerator For Convolutional Neural Networks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Julian Hille; Lucas Santos Ferreira; [2019]
    Nyckelord :CNN; Hardware; Accelerator; DSP; Convolutional; Convolution; Neural; Network; Processor; Tensilica; FIR; Memory; SRAM; Technology and Engineering;

    Sammanfattning : Convolutional Neural Networks impressed the world in 2012 by reaching state-of-the-art accuracy levels in the ImageNet Large Scale Visual Recognition Challenge. The era of machine learning has arrived and with it countless applications varying from autonomous driving to unstructured robotic manipulation. LÄS MER

  4. 4. Minimising Memory Access Conflicts for FFT on a DSP

    Master-uppsats, Linköpings universitet/Datorteknik

    Författare :Sofia Jonsson; [2019]
    Nyckelord :FFT; DSP; memory access conflict;

    Sammanfattning : The FFT support in an Ericsson's proprietary DSP is to be improved in order to achieve high performance without disrupting the current DSP architecture too much. The FFT:s and inverse FFT:s in question should support FFT sizes ranging from 12-2048, where the size is a multiple of prime factors 2, 3 and 5. LÄS MER

  5. 5. Squeezing and Accelerating Neural Networks on Resource Constrained Hardware for Real Time Inference

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Matteo Presutto; [2019]
    Nyckelord :Neural Networks; Quantization; DSP; Inference; neurala nätverk; kvantisering; DSP; inferens;

    Sammanfattning : As the internet user base increases over the years, so do the logistic difficulties of handling higher and higher volumes of data. This large amount of information is now being exploited by Artificial Intelligence algorithms to deliver value to our society on a global scale. LÄS MER