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40+ IEEE 2026 FPGA Hardware VLSI Projects

MTech VLSI & FPGA Projects in Bangalore — ASIC · SoC · RTL · HLS Design.

Latest IEEE 2026 VLSI Verilog / VHDL / SystemVerilog FPGA hardware projects for BE, B.Tech, MTech & ECE students — Xilinx Vivado, Intel Quartus, Cadence, Synopsys, ASIC design, SoC on Zynq, CNN FPGA accelerators, AES cryptography VLSI, LDPC / Turbo decoder, 5G OFDM FPGA, image processing — with RTL source code, IEEE base paper, synthesis report, PPT and viva support.

Xilinx Vivado Intel Quartus Cadence ASIC Synopsys DC Verilog / VHDL HLS / Vitis AI Zynq SoC PYNQ-Z2 Board
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VLSI FPGA MTech projects Bangalore 2026 — Xilinx Vivado Verilog VHDL ASIC SoC

MTech VLSI FPGA Project Highlights — Bangalore 2026

Expert VLSI and FPGA hardware project guidance for MTech ECE students — from RTL design to FPGA implementation, ASIC layout and SoC integration.

FPGA Hardware Implementation

Xilinx Artix-7, Zynq-7000, Virtex-7 & Intel Cyclone V / Arria 10 FPGA boards with Vivado & Quartus Prime.

ASIC Custom IC Design

Full-custom and semi-custom ASIC design using Cadence Virtuoso, Synopsys DC, 28nm / 45nm standard cell.

SoC / Zynq Integration

Zynq-7000 / MPSoC ARM+FPGA SoC design — PS-PL co-design, AXI bus, DMA, Linux on Zynq.

RTL & Pipelined Design

Synthesizable Verilog / VHDL / SystemVerilog RTL with pipeline stages, FSM design, and timing closure.

HLS & Vitis AI

High-Level Synthesis with Vitis HLS / LegUp — C/C++ to FPGA bitstream for CNN and DSP accelerators.

Low-Power VLSI Design

Multi-Vt cell selection, clock gating, power gating and leakage optimisation for sub-threshold VLSI circuits.

VLSI FPGA Design Tools & Platforms

Industry-standard EDA tools, HDL simulators, synthesis engines and FPGA boards used in all MTech VLSI FPGA projects.

Xilinx Vivado Intel Quartus Prime Cadence Virtuoso Synopsys DC Verilog / SystemVerilog VHDL ModelSim / Questa MATLAB / Simulink Vitis HLS / LegUp Zynq / MPSoC PYNQ-Z2 / DE10-Nano Synth & P&R ASIC Layout / GDS-II SPICE / Spectre Python / Tcl Scripts OpenCL / HLS C++

History of VLSI & FPGA Design — From Transistor to SoC

The history of transistors dates to the 1920s when inventors attempted solid-state triodes. Success came post-World War II, with silicon and germanium crystals improving fabrication theory. With the transistor invention at Bell Labs in 1947, electronics shifted from vacuum tubes to solid-state devices. The 1950s saw rapid progress — LSI, then VLSI (>100,000 transistors per chip) — culminating in ASIC and System-on-Chip (SoC) architectures that power modern AI accelerators, 5G modems and edge computing devices.

Why Choose Xilinx Vivado & Intel Quartus for MTech FPGA Projects?

FPGA designers use Vivado and Quartus Prime for RTL synthesis, place-and-route and bitstream generation — abstracting back-end complexity so engineers focus on RTL design. Unlike ASIC flows which require physical layout, DFM and DFT, FPGA projects offer rapid prototyping ideal for MTech and PhD research projects in Bangalore.

MTech VLSI FPGA Project Keywords

  • MTech VLSI Projects Bangalore 2026
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  • IEEE VLSI Projects for ECE MTech
  • FPGA Hardware Implementation Projects
  • ASIC Design Projects MTech
  • SoC Zynq Projects for ECE
  • Low Power VLSI Projects MTech
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  • RTL Design Projects MTech ECE
  • Pipelined VLSI Architecture Projects
  • Cadence Virtuoso ASIC Projects
  • Synopsys Design Compiler Projects
  • FPGA Projects using PYNQ-Z2
  • Download VLSI Projects Bangalore
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40+ IEEE 2026 FPGA Hardware VLSI Project Topics

IEEE 2025–2026 aligned VLSI and FPGA hardware project topics for BE, B.Tech, MTech and ECE students in Bangalore — covering FPGA implementation, ASIC design, SoC integration, AI/ML accelerators, cryptography, communication systems and image/signal processing. All come with Verilog / VHDL RTL code, Xilinx Vivado / Intel Quartus synthesis, IEEE base paper, timing report, PPT and viva support.

# IEEE 2026 VLSI / FPGA Project Topic Tools & Platform
01 ⚡ FPGA / RTL
Low-Power FPGA Implementation of Real-Time Eye Tracking Using Pipelined Architecture
Original topic from IEEE base paper — pipelined Hough transform for pupil detection at 60 fps on Artix-7 FPGA
Xilinx Vivado, Verilog, Artix-7, ModelSim
02 ⚡ FPGA / RTL
Deep-Pipelined FPGA Implementation of Ellipse Estimation for Real-Time Eye Tracking
RANSAC-based ellipse fitting with 14-stage pipeline — meeting 100 MHz timing on Virtex-7
Xilinx Vivado HLS, SystemVerilog, Virtex-7
03 ⚡ FPGA / RTL
FPGA-Based Real-Time Object Detection and Tracking Using YOLOv4-Tiny Hardware Accelerator
Hardware-mapped convolutional layers for YOLOv4-Tiny on Zynq UltraScale+ with AXI DMA streaming
Vitis AI, Zynq UltraScale+, AXI DMA, Python
04 ⚡ FPGA / RTL
FPGA Implementation of QPSK / QAM Modulator using Xilinx System Generator and Vivado
Configurable M-QAM modulator with Gray coding — synthesised on Artix-7 at 125 MHz symbol rate
Xilinx System Generator, Vivado, MATLAB, Artix-7
05 ⚡ FPGA / RTL
FPGA Architecture for Fast Parallel Computation of Co-occurrence Matrices for Texture Analysis
Parallel GLCM hardware accelerator achieving 60× speedup over ARM Cortex-A9 on Zynq-7000
Verilog HDL, Xilinx Vivado, Zynq-7000, HLS
06 ⚡ FPGA / RTL
FPGA-Based Real-Time Human Motion Recognition on Reconfigurable Video Processing Architecture
Optical flow and HOG feature extraction pipeline targeting 30 fps HD video on Intel Cyclone V
Intel Quartus Prime, VHDL, Cyclone V, OpenCL
07 ⚡ FPGA / RTL
Reconfigurable FPGA Implementation of Fixed-Point 2D Gaussian Filter for Image Processing
Separable 2D Gaussian with configurable kernel size — resource comparison across 3×3, 5×5 and 7×7
Xilinx Vivado, Verilog, Artix-7, MATLAB co-sim
08 ⚡ FPGA / RTL
Real-Time Face Detection and Tracking Using Viola-Jones on Zynq-7000 FPGA with HLS
Hardware integral image and cascade classifier mapped via Vitis HLS — 25 fps at HD resolution
Vitis HLS, Zynq-7000, OpenCV, Vivado
09 ⚡ FPGA / RTL
FPGA-Based Underwater Fish Image Feature Learning Using CNN Hardware Accelerator
Custom lightweight CNN accelerator with line-buffer dataflow on Zynq for marine species recognition
Vitis AI, Zynq UltraScale+, Python, MATLAB
10 ⚡ FPGA / RTL
High-Performance FFT / IFFT Processor Design on FPGA Using Radix-4 Butterfly Architecture
Pipelined 1024-point Radix-4 FFT meeting IEEE 802.11ac OFDM latency requirements on Artix-7
Xilinx Vivado, Verilog, ModelSim, Artix-7
11 🔲 ASIC / Layout
Low-Power ASIC Design of ECG Compressed Sensing Processor Using TSMC 45nm Standard Cell
Sub-threshold ASIC for wearable ECG — Synopsys DC synthesis with multi-Vt cell mixing for 80% power reduction
Cadence Virtuoso, Synopsys DC, Verilog, TSMC 45nm
12 🔲 ASIC / Layout
AES-128 / AES-256 Encryption Hardware ASIC with 32-bit Datapath and S-Box Optimisation
Composite field S-Box minimising area 43% vs lookup-table — synthesised at 500 MHz in 28nm CMOS
Synopsys Design Compiler, Verilog, Cadence, 28nm
13 🔲 ASIC / Layout
CMOS Low-Noise Amplifier Design for 5G mmWave Front-End Using 22nm FinFET Technology
Sub-3 dB NF LNA at 28 GHz — Cadence Spectre EM-co-sim with HFSS for package parasitics
Cadence Virtuoso, Spectre, ANSYS HFSS, 22nm FinFET
14 🔲 ASIC / Layout
Design-for-Testability (DFT) and Scan Chain Insertion for Complex SoC Fault Coverage
ATPG-based full-scan and partial-scan insertion achieving 98%+ stuck-at fault coverage
Synopsys TetraMAX, Cadence Encounter, Verilog
15 🔲 ASIC / Layout
Approximate Multiplier ASIC Design for Energy-Efficient Deep Neural Network Inference
Truncated Wallace tree multiplier with error-resilient retraining — 35% power saving vs exact multiplier
Synopsys DC, Cadence Virtuoso, MATLAB, Verilog, 45nm
16 🔲 ASIC / Layout
Post-Quantum Cryptography (Kyber / Dilithium) NTT Hardware Accelerator ASIC
Number Theoretic Transform hardware for CRYSTALS-Kyber KEM — NIST PQC standard ASIC implementation
Verilog, Synopsys DC, Cadence, ModelSim, 28nm
17 🔵 SoC / Zynq
Zynq-7000 SoC Based Real-Time Video Processing Platform with AXI-Stream Pipeline
PS-PL co-design with AXI4-Stream video pipeline — Linux on ARM + custom HDL accelerators for edge detection
Zynq-7000, Vivado, Vitis, AXI4-Stream, Linux
18 🔵 SoC / Zynq
RISC-V Soft-Core Processor SoC on FPGA with AXI Bus and Peripheral Integration
Custom RISC-V (IBEX / CV32E40P) SoC with UART, SPI, I2C and GPIO — bare metal C firmware
Xilinx Vivado, RISC-V IBEX, Verilog, GCC, OpenOCD
19 🔵 SoC / Zynq
Adaptive Zynq UltraScale+ MPSoC Platform for Real-Time Radar Signal Processing
Multi-core PS + PL CFAR detector — PCIe DMA from radar ADC to Zynq DDR at 10 Gbps
Zynq UltraScale+ MPSoC, Vivado, Vitis, MATLAB
20 🔵 SoC / Zynq
PYNQ-Z2 Based Embedded Machine Learning Platform for Edge Inference
Jupyter-notebook programmable hardware overlay — TensorFlow Lite model quantisation and FPGA bitstream deployment
PYNQ-Z2, Python, TensorFlow Lite, HLS, Jupyter
21 🔵 SoC / Zynq
ARM Cortex-M0 Based IoT SoC Design with Cryptographic Co-Processor on 65nm CMOS
Custom ARM-compatible SoC integrating AES-128 and SHA-256 hardware — synthesised on 65nm standard cell
Cadence Innovus, Synopsys DC, ARM Cortex-M0, 65nm
22 🧠 AI / CNN Accelerator
FPGA-Based CNN Hardware Accelerator for Real-Time Image Classification Using HLS
Dataflow CNN with loop unrolling and line-buffer tiling — ResNet-8 achieving 92% ImageNet top-5 on PYNQ-Z2
Vitis HLS, PYNQ-Z2, Python, TensorFlow, Vivado
23 🧠 AI / CNN Accelerator
Binary Neural Network (BNN) VLSI Hardware Accelerator with XNOR-Popcount Engine
1-bit weight/activation BNN on Artix-7 — 128× MAC throughput vs 16-bit floating point with 12× power saving
Verilog, Xilinx Vivado, ModelSim, MATLAB, Artix-7
24 🧠 AI / CNN Accelerator
Transformer Attention Hardware Accelerator for Edge NLP on Low-Power FPGA
Fixed-point multi-head attention hardware with scratchpad memory — DistilBERT inference on Zynq at 45 ms latency
Vitis HLS, Zynq-7000, SystemVerilog, Python, BERT
25 🧠 AI / CNN Accelerator
Neuromorphic Spiking Neural Network (SNN) Hardware Implementation on FPGA
Verilog, Xilinx Artix-7, Python, Brian2, Vivado
26 🧠 AI / CNN Accelerator
FPGA Accelerator for Real-Time YOLOv8 Object Detection Using High-Level Synthesis
Quantised YOLOv8n mapped to FPGA via Vitis AI DPU — 30 fps at 720p on Zynq UltraScale+
Vitis AI DPU, Zynq UltraScale+, Python, OpenCV, Vivado
27 🧠 AI / CNN Accelerator
Hardware-Efficient GAN Image Synthesis Accelerator for Synthetic Medical Data Generation
Generator network hardware dataflow on Artix-7 — streaming tile-based inference at 15 fps 128×128 output
Vitis HLS, Artix-7, PyTorch (training), Vivado
28 📡 Comm / 5G / OFDM
An Efficient Low-Power Viterbi Decoder VLSI Design Using T-Algorithm for TCM Systems
T-algorithm survivor memory pruning reducing Viterbi area 38% vs standard ACS — TSMC 45nm synthesis
Verilog, Synopsys DC, ModelSim, Cadence, 45nm CMOS
29 📡 Comm / 5G / OFDM
Low-Power VLSI Decoder Architecture for LDPC Codes Using Min-Sum Algorithm
Partially parallel LDPC decoder with reduced routing congestion — 0.67 nJ/bit at 650 Mbps on 28nm
Synopsys DC, Verilog, ModelSim, Cadence, 28nm
30 📡 Comm / 5G / OFDM
Efficient VLSI Architecture for Non-Binary LDPC Decoder with Adaptive Message Control
GF(64) FFT-based message passing with adaptive scaling reducing error floor below 10⁻⁸
VHDL, Xilinx Vivado, MATLAB BER sim, Virtex-7
31 📡 Comm / 5G / OFDM
5G NR Polar Code Encoder / Decoder Hardware Implementation on FPGA
IEEE 802.3ca compliant successive cancellation list decoder at 1 Gbps throughput on Zynq UltraScale+
Verilog, Xilinx Vivado, MATLAB, Zynq UltraScale+
32 📡 Comm / 5G / OFDM
MIMO-OFDM 5G Channel Estimator FPGA Implementation with DFT-Based Pilot Interpolation
Frequency domain LS channel estimator with cubic interpolation — real-time 100 MHz on Virtex-7 for 64×64 MIMO
Xilinx Vivado, Verilog, MATLAB DeepMIMO, ModelSim
33 📡 Comm / 5G / OFDM
Turbo Code Encoder / Decoder VLSI Architecture for LTE / 4G Standard
Max-Log-MAP decoder with SISO sub-units and sliding window — meeting 3GPP TS 36.212 turbo specifications
Verilog, Synopsys DC, ModelSim, MATLAB, 45nm
34 📡 Comm / 5G / OFDM
Reconfigurable Intelligent Surface (RIS) Beamforming Control Hardware on FPGA
Digital phase-shifting codebook controller for 256-element RIS — real-time precoding update at 10 µs latency
Xilinx Artix-7, Verilog, MATLAB, CVX, Vivado
35 ⚙ Low Power VLSI
Low-Power High-Speed 8T SRAM Design with Read-Write Assist Circuits in 28nm CMOS
8T bit-cell with negative word-line assist achieving 52% read power reduction vs 6T standard cell
Cadence Virtuoso, Spectre, HSPICE, 28nm PDK
36 ⚙ Low Power VLSI
Energy-Efficient Multiply-Accumulate (MAC) Unit Design for Edge AI with Sub-Threshold Operation
Sub-Vt 8×8 MAC with adaptive body biasing — 3.2 pJ/MAC at 0.4V for neural network inference
Cadence Virtuoso, Synopsys PrimeTime PX, 40nm CMOS
37 ⚙ Low Power VLSI
Clock Gating and Power Gating Optimisation of SoC using UPF Multi-Voltage Design
Cadence Innovus multi-voltage island floorplan with dynamic voltage scaling — 45% total power reduction
Cadence Innovus, Synopsys DC, Verilog, UPF, 28nm
38 ⚙ Low Power VLSI
High-Speed 32-bit Carry Lookahead Adder Design Using GDI (Gate-Diffusion Input) Logic
GDI-based CLA achieving 2.8× power reduction and 40% area saving vs standard CMOS at 1.2V, 45nm
Cadence Virtuoso, Spectre, HSPICE, 45nm CMOS
39 ⚙ Low Power VLSI
On-Chip Touch Sensor Readout Circuit Using Passive Sigma-Delta Capacitance-to-Digital Converter
4th-order passive ΣΔ modulator achieving 14-bit ENOB at 10 kS/s for mutual capacitance sensing
Cadence Virtuoso, MATLAB Simulink, Spectre, 180nm CMOS
40 ⚙ Low Power VLSI
Design of Digitised Microgyroscope System Using Sigma-Delta Modulation Technology
MEMS gyroscope with Σ-Δ force-feedback loop — digital output at 16-bit resolution and 100 dB dynamic range
Cadence Virtuoso, MATLAB, Simulink, Spectre, 0.35µm
41 ⚡ FPGA / RTL
FPGA Implementation of AES-128 Encryption with Key Expansion and Pipeline Optimisation
10-stage pipelined AES-128 core achieving 12.8 Gbps throughput at 100 MHz on Artix-7 FPGA
Verilog HDL, Xilinx Vivado, ModelSim, Artix-7
42 🧠 AI / CNN Accelerator
FPGA-Based Edge Computing Platform for Real-Time Driver Drowsiness Detection using CNN
MobileNetV2-based eye-state classifier on Zynq — 45 fps with 94.6% accuracy, 2.8W power envelope
Vitis AI, Zynq-7000, Python, OpenCV, Keras, Vivado
43 📡 Comm / 5G / OFDM
Adaptive Beam Management Hardware for 5G mmWave Massive MIMO Using FPGA
Hybrid beamforming codebook search accelerator — 64 antenna array beam sweeping at 1 ms latency on Virtex-7
Verilog, Xilinx Vivado, MATLAB, Virtex-7, ModelSim
44 🔵 SoC / Zynq
Zynq-Based Digital Twin Platform for Industrial IoT with Real-Time Edge Processing
PS-Linux Node-RED IIoT stack + PL FPGA anomaly detection overlay — OPC-UA compliant MQTT telemetry
Zynq-7000, Vivado, Node-RED, OPC-UA, Linux, Verilog
45 ⚙ Low Power VLSI
Formal Verification of Sequential VLSI Circuits Using Model Checking and Equivalence Checking
Cadence JasperGold formal property verification — 100% state space coverage for AES key expansion FSM
Cadence JasperGold, Synopsys Formality, SVA, SystemVerilog

All 45 topics above are IEEE 2025–2026 aligned and updated for Bangalore university evaluation guidelines. Contact us for the full base paper, Verilog/VHDL RTL code, synthesis report and implementation guide for any topic. Custom VLSI FPGA topics outside this list are also accepted.

Frequently Asked Questions — MTech VLSI FPGA Projects

Common questions from MTech ECE students seeking VLSI, FPGA, ASIC and SoC projects in Bangalore.

We offer 45+ IEEE 2026 FPGA hardware VLSI project topics for MTech ECE including FPGA-based CNN accelerators, AES encryption hardware, LDPC / Viterbi / Turbo decoder VLSI, OFDM 5G FPGA, image processing FPGA, ASIC low-power design, SoC Zynq projects, HLS neural network accelerators, RTL pipelined architectures, post-quantum cryptography VLSI and many more — all with synthesizable Verilog / VHDL RTL code, Xilinx Vivado / Intel Quartus implementation, IEEE 2025–2026 base paper, synthesis timing report, PPT and viva support.
Our MTech VLSI and FPGA projects use Xilinx Vivado (Artix-7, Virtex-7, Zynq-7000, UltraScale+), Intel Quartus Prime (Cyclone V, Arria 10, Stratix 10), Cadence Virtuoso for ASIC layout, Synopsys Design Compiler for synthesis, ModelSim / Questa for simulation, MATLAB for algorithm verification, Vitis HLS / LegUp for high-level synthesis, and PYNQ-Z2 / DE10-Nano / Basys3 boards for hardware demonstration.
Yes. Every VLSI FPGA project includes complete synthesizable Verilog / VHDL / SystemVerilog RTL source code with testbench, the IEEE Xplore 2025–2026 base paper, synthesis and timing reports from Xilinx Vivado or Intel Quartus, post-implementation simulation waveforms, a university-format project report, PPT presentation and a viva Q&A document with 30+ likely questions and model answers.
FPGA MTech projects use reconfigurable logic devices (Xilinx / Intel) — RTL code is synthesised and loaded as a bitstream, ideal for rapid prototyping. ASIC MTech projects involve designing custom integrated circuits through RTL synthesis → floor planning → place and route → GDS-II tape-out using tools like Cadence Innovus and Synopsys DC. FPGA projects are faster to complete (7–14 days) while ASIC projects require additional Cadence layout work (14–30 days) but demonstrate deeper chip design knowledge for MTech and PhD scholars.
Yes. We deliver complete Zynq-7000 and Zynq UltraScale+ MPSoC projects with ARM Cortex-A9 / A53 Linux (PetaLinux / Ubuntu), custom HDL IP cores connected via AXI4 / AXI4-Stream bus, Vivado block design, device tree configuration, driver development and hardware demonstration. Popular combinations include Linux + CNN accelerator, Linux + real-time video pipeline, Linux + OPC-UA IoT edge gateway and PYNQ Python + hardware overlay projects.