Lab Facilities

Department of Electronics and Communication Engineering

ELECTRONICS LAB

    • Digital Storage Oscilloscope (Agilent)
    • LCR Meter (Wynekear)
    • Logic Analyser(HP)
    • Mixed Signal Oscilloscope(Agilent)
    • ORCAD,LABVIEW CNI software swite PSPICE
    • Triple output DC Power Supply (Agilent)
    • Vector signal generator(Agilent)

 COMMUNICATION LAB

    • 25 MHz/FM singal generator APLAB2023
    • RF signal sources (Tektronix)
    • Antenna Training system
    • Vector Network Analyser (Agilent)
    • Spectrum Analyser (HP AND Rohde and Schwarz)
    • Vector Signal Generator (agilent)
    • Arbitrary Function Generator

DIGITAL SIGNAL PROCESSING LAB

    • TMS320C5X,C3X starter kits and Development system
    • ADSP 2105 based signal processing
    • ADSP 2181 development system Evaluation board
    • VSK Kit, TMS320C5416
    • Code Composer studio
    • MATLAB
    • Logical image processing software(LIPS)

 VLSI LAB

    • XILINX AND Altera FPGA Development Trainer
    • Active-HDL FPGA simulation software
    • Rivera Software for ASIC and FPGA Verification
    • Simplify PRO
    • Tanner Tools for VLSI Design
    • Modelsim 6.1

 MICROPROCESSOR LAB

    • 8/16 bit Microcontroller based Embedded System
    • PIC Microcontroller 18f,16f seriers
    • ARM Processors
    • Hitachi R8C tiny Microcontroller Hardware and Software Systems
    • Microchip Development Tools
    • RTOS, Keil Compiler

 COMPUTER NETWORKS LAB

    • OPNET(Network simulator)
    • Netsim2.1 Software
    • LAB Trainer kits(TET COS LT01, Benchmark)
    • Wireless LAN
    • IAR Embedded Workbench for 80510U7.50A

 MICROWAVE AND OPTICAL LAB

    • Gunn Oscillator Microwave Bench
    • Klystron Microwave Bench(SICO)
    • Optical Time Domain Reflectometer
    • Laber,LED and Photodiode Modules
    • Power meter with power sensors(KRYTAR)OFT kit

 Artificial Intelligence and Machine Learning Lab

Artificial Intelligence and Machine Learning Lab is equipped with a Server Configuration: Compute node with 20 Cores, Intel CPU(skylake 6148)With 2 TB SSD Storage, 512 GB DDR4 RAM, GPU CARD NVIDIA Tesla V100 NVIDIA Tensor Cores 640,CUDA Cores 5120,GPU Memory 32GB HBM2 with 20 clients to carry out the project work . Software installed

    • Tensorflow
    • Pandas
    • Scikit
    • Caffe
    • Pytorch
    • Numpy