Search results for "FPGA implementation"

FPGA Implementation of a Reconfigurable 802.11 Medium Access Control

THis work describes a full implementation of a reconfigurable IEEE 802.11 Medium Access Control (MAC) in FPGA using a System on Chip (SoC) architecture. The proposed implementation has been designed with a great structural flexibility, so to ease the protocol modification, and to support Quality of Service (QoS) function. Estensive tests has been carried out showing a full compliance to the 802.11 standard timing and algorithms.

A Software Defined Radio Platform Implementing a WiFi and ZigBee Receiver

2006

A successful attempt to design and implement a multi-standard compliant Basebnd Processor is here presented. By exploiting the potential of FPGA's reconfigurability, the received signal from RF stage have been processed in order to properly decode frames of IEEE 802.11 (WiFi) and IEEE 802.15.4 (ZigBee) protocols. both falling within the ISM band (centered at 2.45GHz). The experimental implementation carried out is a practical demonstration of the Software Defined Radio concept.

A Novel Systolic Parallel Hardware Architecture for the FPGA Acceleration of Feedforward Neural Networks

2019

New chips for machine learning applications appear, they are tuned for a specific topology, being efficient by using highly parallel designs at the cost of high power or large complex devices. However, the computational demands of deep neural networks require flexible and efficient hardware architectures able to fit different applications, neural network types, number of inputs, outputs, layers, and units in each layer, making the migration from software to hardware easy. This paper describes novel hardware implementing any feedforward neural network (FFNN): multilayer perceptron, autoencoder, and logistic regression. The architecture admits an arbitrary input and output number, units in la…

Technics Amélioration for geo-localization in wsn via smart computing and real time application

2022

New technologies exploiting digital information acquisition by radio frequency techniques are now commonly used in various practical fields. They are most often used to measure a variety of physical variables such as temperature, humidity, speed, etc. and are gathered under the name of Wireless Sensor Networks “WSN”. For this variant of applications, the accurate location of connected sensor nodes remains an important issue for researchers and industrial applications. Indeed, existing localization algorithms can be classified into two categories known as « range-based » and « range-free ». Range-based localization systems are characterized by major drawbacks. The first one is the cost of th…

Embedded multi-spectral image processing for real-time medical application

2016

International audience; The newly introduced Kubelka-Munk Genetic Algorithm (KMGA) is a promising technique for the assessment of skin lesions from multi-spectral images. Using five skin parameter maps such as concentration or epidermis/dermis thickness, this method combines the Kubelka-Munk Light-Tissue interaction model and Genetic Algorithm optimization process to produce a quantitative measure of cutaneous tissue. Up to the present, variant improved KMGA implementations have been successfully realized using the recent parallel computing techniques. However, all these achievements are based on the multi-core CPUs. This results in a quite high cost and low practicability for the hardware …

Less Data Same Information for Event-Based Sensors: A Bioinspired Filtering and Data Reduction Algorithm

2018

Sensors provide data which need to be processed after acquisition to remove noise and extract relevant information. When the sensor is a network node and acquired data are to be transmitted to other nodes (e.g., through Ethernet), the amount of generated data from multiple nodes can overload the communication channel. The reduction of generated data implies the possibility of lower hardware requirements and less power consumption for the hardware devices. This work proposes a filtering algorithm (LDSI&mdash

HDR-­ARtiSt: a FPGA-­based Smart Camera for High Dynamic Range color video from multiple exposures

2014

International audience; A camera is able to capture only a part of a high dynamic range scene information. The same scene can be fully perceived by the human visual system. This is true especially for real scenes where the difference in light intensity between the dark areas and bright areas is high. The imaging technique which can overcome this problem is called HDR (High Dynamic Range). It produces images from a set of multiple LDR images (Low Dynamic Range), captured with different exposure times. This technique appears as one of the most appropriate and a cheap solution to enhance the dynamic range of captured environments. We developed an FPGA-based smart camera that produces a HDR liv…