The term VLSI stands for “Very Large Scale Integration Technology” which involves designing integrated circuits (ICs) by combining thousands of transistors logically into a single chip by different logic circuits. These ICs eventually reduce the occupied circuit space when compared to the circuits with conventional ICs. Computational power and space utilization are the main challenges of the VLSI design. Implementing VLSI projects opens up a challenging and bright career for students as well as researchers. Some of the new trending areas of VLSI are Field Programmable Gate Array applications (FPGA), ASIC designs, and SOCs. A list of some of the VLSI projects is given below for those students who are earnestly seeking projects in this field. This article discusses an overview of VLSI projects based on FPGA, Xilinx, IEEE, Mini, Matlab, etc are listed below. These projects are very helpful for engineering students, M.tech students.
VLSI Projects for Engineering Students
VLSI Projects with abstracts for electronics engineering students are discussed below.
1). Transform of Discrete Wavelet-based on 3D Lifting
This project helps in providing highly precise images by using the coding of an image without losing its data. To attain this, this process implements a lifting filter depending on the transform of 3D discrete wavelet VLSI architecture.
2). Designing of SFQ Multiplier with 4-bit with Efficiently through High-Speed Hardware
This project is mainly used for implementing a modified booth encoder (MBE) with 4-bit SFQ based. This multiplier provides good performance when compared with the conventional booth encoder. This project is mainly used in the applications of critical delay.
3). Cryptography Processor used in Smart Cards with an Efficient Area
This project is used to implement three cryptography algorithms supported by both private & public keys used in smart card applications for providing extremely secured user verification & data communication.
4). A High-Speed or Low-Power Multiplier with Spurious Power Suppression Method
This proposed system filters outs the useless false signals of arithmetic units for avoiding unnecessary data transmission which does not influence the last computing results. This system uses an SPST method for multipliers to achieve low power and high-speed data transmission.
5). Compression & Decompression of a Lossless Data Algorithm
This project is mainly implemented for 2-stage hardware architecture depending on the PDLZW (Parallel Dictionary LZW) algorithm feature as well as the Adaptive Huffman type algorithm which is used for both the applications of lossless data compression & lossless decompression.
6). The Architecture of Turbo Decoder with Low-Complexity for Energy-Efficient WSNs
The proposed system is used to reduce the total energy consumption throughout data transmission of WSNs through the decomposing algorithm of LUT-Log-BCJR to basic ACS (Add Compare Select) operations.
7). VLSI Architecture for Removing Impulse Noise of an Image with Efficiently
This proposed system mainly used to enhance the image quality visually for avoiding the chances of being corrupted with impulse noise to implement an efficient VLSI architecture with the help of an edge-preserving filter.
8). The Architecture of an In-Memory-Processor used for Compression of Multimedia
This proposed system provides a low complexity architecture for a processor in memory to support multimedia applications namely image compression, video through applying enormous single-instruction, multiple data concepts & instruction word.
10). Accumulator based Low Power & High-Speed Multiplier Implementation with SPST Adder & Verilog
This project is used to design a low power & high-speed MAC (multiplier and accumulator) through accepting the false suppression method of power on an MBE (modified booth encoder). By using this design, the power dissipation of entire switching can be avoided.
11). Robot Processor Design & Implementation by Enabling Anti-collision with RFID Technology
The proposed system is mainly used to implement a robot processor with anti-collision to avoid the physical collision of robots in the environment of multi-robot. This algorithm is mainly implemented using VHDL & RFID technology.