Essays about: "Waveform"

Showing result 1 - 5 of 105 essays containing the word Waveform.

1. 1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jiayi Feng; [2023]
   Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

   Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE

3. 2. Integrated Sensing and Communicationusing OFDM and Stepped FMCWSignals : Proof-of-Concept and Evaluation with Software DefinedRadios

   University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

   Author : Sai Chetan Poluri; Tejaswi Dunuka; [2023]
   Keywords : 5G and 6G Communications; FMCW; GNU Radio; ISAC; OFDM; SDR; Sensing; JSAC;

   Abstract : The thesis work shows the implementation of sensing and communication, so a basic knowledge of analog and digital communication systems is needed to understand this paper Background. With the increase in smart devices, the bandwidth requirements are increased, which created congestion in the radio spectrum resources. READ MORE

4. 3. Physiology-Guided Machine Learning for Improved Reliability of Non-Invasive Assessment of Pulmonary Hypertension

   University essay from Linköpings universitet/Avdelningen för medicinsk teknik

   Author : Frida Hermansson; [2023]
   Keywords : Pulmonary Hypertension; pulmonary hypertension; improving; physiological-guided; machine learning; neural networks; NN; artificial neural networks; non-invasive; PH; tricuspid regurgitation; peak tricuspid regurgitation velocity; tricuspid regurgitation velocity; right ventricular systolic pressure; VGG16; Unet; TR-CNN; CNN; pulmonell hypertension; förbättra; fysiologisk-guidning; neurala nätverk; trikuspidal regurgitation; maximal trikuspidal regurgitation; icke-invasivt;

   Abstract : Diagnosing pulmonary hypertension (PH) with right heart catheterization (RHC) is associated with a risk for complications and high expenses, leading to late diagnoses [1]. Transthoracic echocardiography can be used to assess non-invasive indicators for PH such as right ventricular systolic pressure (RVSP), which can be estimated by combining the peak tricuspid regurgitation velocity (TRV) with the estimated right arterial pressure (RAP). READ MORE

5. 4. Diffusion-based Vocoding for Real-Time Text-To-Speech

   University essay from Lunds universitet/Matematisk statistik

   Author : Lukas Gardberg; [2023]
   Keywords : Diffusion; Vocoding; Text-to-Speech; Machine Learning; Mathematics and Statistics;

   Abstract : The emergence of machine learning based text-to-speech systems have made fully automated customer service voice calls, spoken personal assistants, and the creation of synthetic voices seem well within reach. However, there are still many technical challenges with creating such a system which can generate audio quickly and of high enough quality. READ MORE

6. 5. Mapping of IPM machine efficiency and Noise Vibration Harshness : An investigation into trade-offs with respect to efficiency and Noise Vibration Harshness

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Bix Eriksson; Erik Rudqvist; [2023]
   Keywords : ;

   Abstract : Due to the recent shift towards electrification, electric machines has become a prominent option to be used in vehicle applications. Much effort is spent in the development process of these machines to make optimizations in order to improve the performance aspects of the machine. READ MORE