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gemmanguen's Projects

-a-32-bit-5-stage-pipelined-mips-based-risc-core-based-on-harvard-architecture- icon -a-32-bit-5-stage-pipelined-mips-based-risc-core-based-on-harvard-architecture-

This project aims to implement a 32-bit 5-stage pipelined High-performance MIPS-based RISC Core based on Harvard Architecture. The MIPS processor was designed using MIPS ISA (Instruction Set Architecture) and divided into three main modules: datapath unit, control unit, and hazard unit. The processor is tested to run two programs: GCD Calculation of two numbers and Factorial Calculation of a number. Programs are written in MIPS assembly code, then converted to machine code. Verilog HDL language is used on ModelSim Simulation tool to verify the functional simulation of the processor and compare between five-stage pipelined MIPS processor and single-cycle MIPS processor regarding performance analysis. Keywords: Pipelined MIPS Processor, Harvard Architecture, MIPS Assembly, Functional Simulation, Datapath, Hazard Unit.

2dconv-fpga icon 2dconv-fpga

A 2D convolution hardware implementation written in Verilog

8051 icon 8051

8051 Projects to Learn Micro-Controllers

a-single-path-delay-32-point-fft-processor icon a-single-path-delay-32-point-fft-processor

A 32-point pipelined Fast Fourier transform processor, using single path delay architecture, and based on radix2-DIF(decimation-in-frequency) algorithm. The average SNR = 58.76.

aes128 icon aes128

AES-128 cipher/encrypt and decipher/decrypt

ai_for_robotics icon ai_for_robotics

Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

algorithms-explanation icon algorithms-explanation

All Algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.

arrhythmia-cnn icon arrhythmia-cnn

Arrhythmia detection using deep convolutional neural network with long duration ECG signals

avr icon avr

Learn Micro-Controllers with AVR - ATmega32

awesome-quantum-machine-learning icon awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

bar icon bar

STM32F103 + MBI5026 ( SPI 18Mb/s) , 640 RGB leds, 512 colors, offline random effects, online via USB.

basic-mnist-classifiers icon basic-mnist-classifiers

A comparison between three different classifiers: MLP, CNN, and SVC. The CNN and SVC are implemented without the use of tensorflow, as an instructional example.

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