Sökning: "DSP"

Visar resultat 21 - 25 av 206 uppsatser innehållade ordet DSP.

  1. 21. 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. 22. Evaluation of Machine Learning Primitives on a Digital Signal Processor

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska högskolan

    Författare :Vilhelm Engström; [2020]
    Nyckelord :digital signal processor; DSP; SIMD; data parallelism; machine learning; deep learning; convolutional neural network;

    Sammanfattning : Modern handheld devices rely on specialized hardware for evaluating machine learning algorithms. This thesis investigates the feasibility of using the digital signal processor, a part of the modem of the device, as an alternative to this specialized hardware. LÄS MER

  4. 23. 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

  5. 24. 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

  7. 25. 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