iw2fag-11 Goto Github PK

followers: 3.0 following: 18.0 repos: 117.0 gists: 1.0

Type: User

Company: https://www.siaemic.it

Bio: Ham radio operator (my call sign was used) Telecommunications Equipment tester and DSP algorithm developer. Programme on Basic, Vhdl, C++, Phyton, Pascal, Tcl.

Location: Italy

iw2fag-11's Projects

domoticz_lua_scripts

LUA scripts for Domoticz, to manage a complete alarm system, control heat pump with power optimizations (if photovoltaic is used), and much more.

domoticz_plugins_manager

🤖 🕹 Web interface for manage all scripts and configs for Domoticz custom plugins

enphase-api

Enphase-API is an unofficial project providing an API wrapper (including local/LAN Gateway API) and the documentation for Enphase®'s products and services.

enphaseenergy

Various collected information about Enphase Energy solar system

esp-who

Face detection and recognition framework

esp32-cam-video-recorder

Video Recorder for ESP32-CAM with http server for config and ftp (or http) server to download video

esp32-cam-video-recorder-junior

Simple fast version of ESP32-CAM-Video-Recorder

esp32-cam-video-telegram

Record avi video on ESP32-CAM and send to Telegram on event or request

esp32-cam-webserver

Expanded version of the Espressif ESP webcam

esp32-cam_camera_webserver_enhanced

Firmware for esp32-cam to make the most of it with BeePrint for MKS WiFi

esp32-energy-monitor

ESP32 Hardware and code to use the Aeon labs Home Energy Meter, model DSB09104-zwus, current clamps and housing

esp32-faikin

ESP32 based module to control Daikin aircon units

esp32-gateway

ESP32 IoT Gateway board with BLE WIFI and Ethernet

esp32energymonitor

Multiple phase DIY energy consumption monitor using ESP32 and ESPHome

esp8266_milight_hub

Replacement for a Milight/LimitlessLED hub hosted on an ESP8266

esp8266_rtos_sdk

Latest ESP8266 SDK based on FreeRTOS, esp-idf style.

esp_wifi_repeater

A full functional WiFi Repeater (correctly: a WiFi NAT Router)

espeasy

Easy MultiSensor device based on ESP8266

espeasypluginplayground

Plugin ideas, concepts, user contributed, etc

esphome

ESPHome is a system to control your ESP8266/ESP32 by simple yet powerful configuration files and control them remotely through Home Automation systems.

fbcp-ili9341

A blazing fast display driver for SPI-based LCD displays for Raspberry Pi A, B, 2, 3, 4 and Zero

fbtft

Linux Framebuffer drivers for small TFT LCD display modules

fmcw3

Two RX-channel 6 GHz FMCW radar design files

fpga-implementation-of-precise-convolutional-neural-network-for-extreme-learning-machine

Feed-forward neural networks can be trained based on a gradient-descent based backpropagation algorithm. But, these algorithms require more computation time. Extreme Learning Machines (ELM’s) are time-efficient, and they are less complicated than the conventional gradient-based algorithm. In previous years, an SRAM based convolutional neural network using a receptive – field Approach was proposed. This neural network was used as an encoder for the ELM algorithm and was implemented on FPGA. But, this neural network used an inaccurate 3-stage pipelined parallel adder. Hence, this neural network generates imprecise stimuli to the hidden layer neurons. This paper presents an implementation of precise convolutional neural network for encoding in the ELM algorithm based on the receptive - field approach at the hardware level. In the third stage of the pipelined parallel adder, instead of approximating the output by using one 2-input 15-bit adder, one 4-input 14-bit adder is used. Also, an additional weighted pixel array block is used. This weighted pixel array improves the accuracy of generating 128 weighted pixels. This neural network was simulated using ModelSim-Altera 10.1d and synthesized using Quartus II 13.0 sp1. This neural network is implemented on Cyclone V FPGA and used for pattern recognition applications. Although this design consumes slightly more hardware resources, this design is more accurate compared to previously existing encoders.

iw2fag-11 Goto Github PK

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