Essays about: "Integrated-circuit"

Showing result 1 - 5 of 88 essays containing the word Integrated-circuit.

  1. 1. Analog mixed signal front-end for Torque signal processing : A theoretical noise analysis and signal-chain evaluation

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

    Author : Jesper Jansson; Wilhelm Nordgren; [2023]
    Keywords : Torque sensor; noise analysis; signal processing; analog-to-digital conversion; Momentgivare; brusanalys; signalbehandling; analog-till-digital omvandling;

    Abstract : High precision tightening of nuts and bolts together with traceability are important in many industrial assembly lines. To achieve this the nutrunner needs to accurately measure the torque which is applied to the nut, process the signal and provide the information to the controller that controls the tightening process. READ MORE

  3. 2. Novel Method of ASIC interface IP development using HLS

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Anestis Athanasiadis; Chandranshu Mishra; [2023]
    Keywords : High Level Synthesis; HLS; Untimed C ; Control logic; I3C; clock-accurate design; IP development; Technology and Engineering;

    Abstract : High-Level Synthesis(HLS) is a design methodology that enables designers to implement hardware from high-level coding languages, such as C, C++, or System C. It provides designers with the ability to convey their design at a higher level of abstraction, which allows more emphasis on an algorithm and functional aspects of design instead on low-level hardware details. READ MORE

  4. 3. A Low Noise Digitally Controlled Oscillator for a Wi-Fi 6 All-Digital PLL

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

    Author : Tommy Lundberg; [2023]
    Keywords : Digitally Controlled Oscillator; All-Digital Phase Locked Loop; Oscillator; Low Phase Noise; Class-C oscillator; Dual-Core; Dynamic BiasingCircuit; Digitalt Styrd Oscillator; Digital PLL; Lågt Fasbrus; Klass-C Oscillator; Dubbelkärnig; Dynamisk Bias-Krets;

    Abstract : Following the rise of Internet of Things (IoT), or just the technological advancements and expectations in a world where the things are or will be connected, new demands are put on Integrated Circuit (IC) for wireless connectivity. The use cases seem endless; smart home, healthcare, entertainment, and science are all areas that can benefit from connectivity of low power electronics. READ MORE

  5. 4. Algorithmic Multi-Ported Memories Enabled Power-Efficient Pre-Distorter Design in ASIC

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

    Author : Xuying Shen; [2023]
    Keywords : Multi-ported memory; Digital Pre-distortion; Hardware design; ASIC; Power efficiency; Flerporterat minne; Digital Pre-distortion; Hårdvarudesign; ASIC; Effekteffektivitet;

    Abstract : The transition from the 5G to the 6G era is a pivotal juncture in contemporary wireless communication. Under such a circumstance, Digital Pre-Distortion (DPD) technology has established its significance as an effective method to linearize Power Amplifiers. READ MORE

  6. 5. Introducing Machine Learning in a Vectorized Digital Signal Processor

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

    Author : Linnéa Ridderström; [2023]
    Keywords : Digital Signal Processor DSP ; Application-Specific Integrated Circuit ASIC ; Machine Learning; Deep Learning; Convolutional Neural Network CNN ; Very Long Instruction Word VLIM ; Single Instruction Multiple Data SIMD ; Digital Signalprocessor DSP ; Applikation-Specifik Integrerad Krets ASIC ; Maskininlärning; Djupinlärning; Konvolutionella Neurala Nätverk CNN ; Very Long Instruction Word VLIW ; Single Instruction Multiple Data SIMD ;

    Abstract : Machine learning is rapidly being integrated into all areas of society, however, that puts a lot of pressure on resource costraint hardware such as embedded systems. The company Ericsson is gradually integrating machine learning based on neural networks, so-called deep learning, into their radio products. READ MORE