Proposed Abstract:
This paper presents the design and FPGA implementation of a 16-bit reversible processor architecture employing Fredkin, Feynman, and PERES gate architectures for reversible logic design. Reversible computing offers promising advantages in terms of energy efficiency and information loss prevention, making it suitable for various emerging computing paradigms. The proposed processor architecture encompasses a carefully crafted instruction set, data path, and control logic, all realized using reversible logic gates. Key components such as the ALU, register file, and memory elements are designed with an emphasis on reversibility. The design is implemented using Hardware Description Languages (HDLs), targeting a specific FPGA platform. The paper outlines the design methodology, gate-level implementation details, memory design considerations, FPGA synthesis, and testing procedures. Furthermore, it discusses optimization strategies and presents simulation results to validate the functionality and efficiency of the proposed reversible processor architecture. This work contributes to the advancement of reversible computing and provides insights into the practical realization of reversible processor architectures on FPGA platforms.
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In image processing and computer vision, pixel shuffling is a method used to increase an image's resolution without adding more parameters or network complexity. With this technique, a low-quality image's pixels are rearranged to produce an output with a better resolution. Pixel shuffling has proven successful in a number of applications, such as image synthesis, super-resolution, and style transfer. Its simplicity and efficiency make it an attractive option for tasks where increasing image resolution is essential, while avoiding the computational overhead associated with more complex architectures. The image line buffer based pixel shuffling technique presented in this study is an alternative to the classic method, which takes up more logic space in VLSI implementations. This proposed method splits and reconstructs the source photos using a 5x5 image line buffer. With the use of block interleave techniques, this pixel shuffling approach handled row and column sequence using this 5x5 picture line buffer. In conclusion, this study was compared with the PSNR and SSIM value; comparisons of logic sizes for area, latency, and power were also examined.
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The Arithmetic Logic Unit (ALU) is a fundamental component in digital systems, particularly in the central processing units (CPUs) of microprocessors, where it executes essential arithmetic and logical functions. This paper presents the design and implementation of an 8-bit Arithmetic Logic Unit (ALU) using CMOS technology, developed and simulated in DSCH3 and Microwind environments. The primary goal of this research is to design an efficient and compact ALU optimized for performance and area efficiency. The 8-bit ALU performs eight operations: ripple carry addition, ripple borrow subtraction, multiplication, XOR, left shift, right shift, NAND, and NOR. Each logic gate within the ALU is constructed using CMOS logic to enhance power efficiency and integration density. This paper provides a detailed description of the ALU's CMOS-based architecture, its key components, and the control mechanism for operation selection. Performance metrics, including speed, area efficiency, and power consumption, are analyzed to assess the ALU’s effectiveness in CMOS technology.
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Arithmetic logic unit (ALU) is an important part of all digital gadgets and applications. This paper presents the design and implementation of an 8-bit Arithmetic Logic Unit (ALU) with a capability to perform eight distinct operations. ALUs are fundamental components in the central processing units (CPUs) of microprocessors and are responsible for executing arithmetic and logical operations. The primary objective of this research is to design an efficient and versatile 8-bit ALU that can execute a wide range of operations while optimizing for performance and area efficiency. The proposed 8-bit ALU is designed to perform the following eight operations: Ripple carry addition, Ripple borrow subtraction, Array multiplication, XOR operation, left shift, right shift, NAND operation and a logical NOR operation. The research presents a detailed description of the ALU's architecture, its constituent components, and the control mechanism for selecting operations. Performance metrics, such as speed, area efficiency, and power consumption, are analyzed and compared with Xilinx FPGA.
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Approximate computing is an emerging paradigm in error-tolerant applications that leads to power-efficient designs without significant loss in quality. The divider in these applications have complex hardware and more latency among the computational blocks resulting in power consumption. Hence approximating the division module would lead to designs with vastly improved power efficiency. A new approximate subtractor (AxSUB) is proposed in this paper with the intent to reduce the hardware complexity while achieving accuracy within permissible limits. The proposed AxSUB and existing approximate subtractor units are used in the restoring array division (RAD) architecture to prove the efficacy of the AxSUB. This proposed architecture design with 8/4 approximate divider using Verilog HDL and synthesized using Xilinx Spartan 6 FPGA, and proved the performance of area, delay and power.
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Frequency dividers are of utmost importance in frequency synthesizers that are based on phase locked loops. The use of dual modulus presales enhances the versatility of the design in both integer and Fractional-N frequency synthesizers. The selection of an acceptable division ratio is dependent upon the channel spacing and frequency range of the synthesizer. There are several techniques for division in electronic systems, including the injection locked frequency divider (ILFD), complementary ILFDs, flip flop based dividers, dual modulus dividers, and modular dividers. Therefore, these approaches possess some advantages and disadvantages, such as reduced jitter, a restricted frequency tuning range, increased circuit size due to the addition of an LC tank circuit, increased power consumption, and lower quality factor. This work aims at addressing certain issues pertaining to clock dividers and proposes a unique design that utilizes a multiple digital frequency divider based on D flip flops. The architectural design is predicated on the use of a phase shifting mechanism using a D flip flop, which effectively controls the division ratio. The present study involves the use of a preliminary phase shifting melody in conjunction with the Digital Clock Manager (DCM). The auto tuning strategy described in this study aims to adjust the phase difference between two differential clock signals. By intentionally inducing metastability in one or more flip flops, the proposed approach utilizes a digital clock manager in a clock divider to mitigate the effects of metastability and reduce jitter across multiple tuning frequencies. Furthermore, it is worth noting that the logic size and power consumption required for its operation are significantly reduced.
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The proposed work aims to facilitate the conversion of images into a hexadecimal format for efficient storage and manipulation, and subsequently restore them to their original form. This conversion is beneficial for reducing storage space and simplifying data transmission. The system supports multiple color spaces, including grayscale, RGB, and YCbCr, enhancing its versatility in image processing tasks. Users select an image file, which the system processes according to the selected mode: converting the image or its channels to a hexadecimal format and saving the data to files. During restoration, the system reads the hexadecimal files, reconstructs the image, and displays it. To ensure the fidelity of the restored images, the system computes and displays quality metrics such as Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), and Structural Similarity Index (SSIM). This comprehensive solution provides an efficient method for image data handling and quality assessment, ensuring accurate and reliable image restoration.
Proposed System:The proposed system aims to facilitate the conversion of images into a hexadecimal format and subsequently restore them to their original form. This system supports multiple color spaces, including grayscale, RGB, and YCbCr, and evaluates the quality of the restored images using metrics such as Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), and Structural Similarity Index (SSIM).
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The Data Encryption Standard (DES) is widely recognized as the inaugural and prevailing symmetric key method used for the cryptographic processes of encrypting and decrypting digital data. Despite its lack of security against determined attackers in contemporary times, the use of this method persists in older systems. This work introduces a novel implementation of the Data Encryption and Decryption Standard algorithm using Field Programming Gate Arrays (FPGAs) that prioritizes security, high throughput, and space efficiency. The suggested solution involves the creation of a system that utilizes a block size of 64 bits and a key length that is also 64 bits. Additionally, the system operates with a data width of 64 bits. This achievement is accomplished by integrating the notion of pipelining with time variable permutations, and then comparing it with previously shown encryption techniques. The permutations undergo temporal variations under the control of the cryptographer. Hence, the cipher text also undergoes alteration while the key and plaintext remain constant. The algorithm under consideration has been successfully executed on the Xilinx Vetex-5 Field-Programmable Gate Array (FPGA) platform. The findings of this study indicate that the suggested implementation exhibits exceptional speed in comparison to other hardware implementations. Additionally, it demonstrates superior area efficiency and significantly enhanced security measures.
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The operation of multiplication is an often encountered need in the field of digital signal processing. Parallel multipliers provide a rapid approach for performing multiplication operations, while demanding a significant amount of space in VLSI (Very Large Scale Integration) implementations. In the majority of signal processing applications, there is a preference for using a rounded result in order to prevent an increase in the size of the word. Therefore, an important goal in the design process is to minimize the spatial demand of the rounded output multiplier. This study introduces a novel approach to parallel multiplication that efficiently calculates the products of two n-bit values by selectively summing the most important columns using a variable correction technique. This research furthermore includes a comparative analysis of the implementation of 8X8 conventional and truncated multipliers using Verilog Hardware Description Language (HDL) on Field Programmable Gate Arrays (FPGAs). The shortened multiplier demonstrates a much greater decrease in device consumption as compared to the regular multiplier. A conventional multiplier performs computations on n x n bits and produces a weighted sum of the output, consisting of 2n bits. In contrast, a truncated multiplier generates an output of just n bits from the n x n bit input. The use of logic gates in both internal and external hardware design will be decreased. Truncated multipliers provide a viable approach for achieving significant reductions in FPGA resources, latency, and power consumption compared to regular parallel multipliers, particularly in scenarios where the complete accuracy provided by the standard multiplier is unnecessary.
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Multiplication is a critical operation in many digital signal processing and machine learning applications, where fast and efficient computation is essential. However, conventional multipliers that compute n x n bit products result in significant hardware overhead and increased power consumption. To address these challenges, this paper proposes an FPGA implementation of an 8x8 truncated multiplier utilizing the Brent-Kung parallel prefix adder to improve both speed and resource efficiency. The proposed truncated multiplier limits the output to n bits, discarding the least significant bits and utilizing a variable correction technique to minimize the error introduced by truncation. By selectively summing the most significant columns, the design achieves a balance between accuracy and hardware efficiency, providing a reduced-area solution for approximate computing. The Brent-Kung parallel prefix adder is integrated into the multiplier architecture to optimize the carry propagation stage, reducing the overall critical path delay. This adder is known for its logarithmic depth, which significantly improves the speed of the summation process while using fewer logic gates compared to traditional adders. This design was implemented in Verilog HDL and synthesized on a Xilinx Virtex-5 FPGA platform. Comparative analysis with a conventional multiplier shows that the proposed truncated multiplier achieves a notable reduction in FPGA resource utilization, including logic elements and power consumption, without sacrificing significant accuracy. The architecture particularly suitable for applications where speed and low power consumption are paramount, such as real-time image processing, DSP systems, and machine learning accelerators.
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This project presents the design and implementation of an ECG-DAC-SPI interface for medical applications using the Xilinx Spartan-6 FPGA platform and the MCP4921 12-bit SPI DAC. The objective is to process pre-recorded ECG signals from the MIT-BIH database, reconstruct the signal digitally, and output it as an accurate analog waveform suitable for real-time monitoring and simulation. The system is designed to meet the stringent requirements of medical-grade signal fidelity and low-latency processing. The FPGA-based implementation comprises several key modules, including digital ECG data acquisition, optional noise filtering, and a custom SPI communication controller. The ECG signal, preloaded into FPGA memory, is scaled and quantized to match the 12-bit resolution of the MCP4921 DAC. A low-pass FIR filter is implemented on the FPGA to enhance signal quality by removing high-frequency noise, ensuring smooth signal. A Verilog HDL-based SPI controller facilitates precise communication with the DAC, synchronizing data transfer and ensuring real-time signal conversion. The reconstructed analog ECG waveform is visualized on an oscilloscope to validate its fidelity to the original dataset. The DAC, interfaced via the FPGA’s SPI controller, is chosen for its high resolution and compatibility with low-latency applications. The design is synthesized, implemented, and tested on the Xilinx Spartan-6 FPGA platform. The project includes extensive simulation and hardware testing, evaluating parameters such as SPI throughput, waveform accuracy, and system latency. Results demonstrate that the system achieves precise signal reconstruction and reliable analog output, suitable for medical applications. This work highlights the use of FPGA technology and the MCP4921 DAC for scalable and reconfigurable ECG signal processing systems. It provides a robust platform for integration into advanced medical devices, including real-time ECG monitors, simulators, and portable diagnostic tools. Future extensions of the design could include integration of live ECG sensors, advanced noise filtering, or wireless transmission for telemedicine applications.
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In this study, we explore the implementation and performance evaluation of various Linear Feedback Shift Register (LFSR) techniques on Field Programmable Gate Arrays (FPGAs). LFSRs are fundamental components in numerous digital applications, including cryptography, pseudorandom number generation, error detection, and secure communications. We specifically focus on five different LFSR methodologies: Fibonacci LFSR, Galois LFSR, Non-Linear Feedback Shift Register (NLFSR), Modular LFSR and Masked LFSR. Each technique is implemented on an FPGA platform, utilizing Verilog HDL for design specification and synthesis. The study begins with a detailed examination of the theoretical underpinnings and operational mechanisms of each LFSR technique, followed by their FPGA implementations. We then conduct a comprehensive performance analysis, focusing on critical parameters such as area utilization, power consumption, throughput, and randomness quality. The analysis reveals the strengths and trade-offs associated with each method, providing insights into their suitability for various applications. Our results demonstrate that while Fibonacci and Galois LFSRs offer simplicity and ease of implementation, more advanced techniques like NLFSR and Masked LFSR provide enhanced security features at the cost of increased complexity. The study concludes with recommendations on selecting the appropriate LFSR technique based on the specific requirements of the application, highlighting the balance between security, performance, and resource efficiency in FPGA-based designs.
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In this recent technology of digital gadgets and digital signal processing and image processing method will have more priority in arithmetic operation, such as multiplication, divisions, addition and subtractions. In this operations of arithmetic unit will have number of garbage signal with more memory logic element, due to this problem these arithmetic operations will take more area, delay and power in VLSI system design. Here, this proposed work will present a arithmetic operation using reversible logic method, thus it take memory less logic and less garbage elements, therefore here this reversible logic method will integrated using reversible half adders and full adder in array multiplier and proved the performance with less garbage signals. Finally, this work will have integrated in Verilog HDL, simulated in Modelsim and Synthesized in Xilinx FPGA, and also compared all the parameter in terms of area, delay and power.
List of the following materials will be included with the Downloaded Backup:Proposed Abstract:
Image line buffers are used in several kinds of image processing applications, particularly where operations must be executed on a per-line basis in order to optimize efficiency. There are many typical applications associated with this technology, including real-time video processing, image filtering, edge detection, computer vision, memory optimization, parallel processing, compression algorithms, and medical imaging. In the context of image and video processing applications, the use of image line buffers may contribute to the optimization of operations when dealing with a continuous stream of frames processed in real time. In the context of image processing, convolutional processes are often used for tasks like as image filtering and blurring. These operations are typically carried out on a per-pixel basis, wherein the value assigned to each pixel is determined by the values of its adjacent pixels. The proposed structure was created using a First-In-First-Out (FIFO) based approach, aiming to decrease the number of logic sizes and complexity in Very Large Scale Integration (VLSI) design architecture. The conversion of design images to hexadecimal and hexadecimal to image format is accomplished using MATLAB GUI applications. These applications also facilitate the comparison of Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) values. The internal architecture of the system is implemented using Verilog Hardware Description Language (HDL). Additionally, the simulation is conducted using Modelsim. Furthermore, the system's performance parameters, including area, delay, and power consumption, are compared with those of the Xilinx Vertex-5 Field Programmable Gate Array (FPGA).
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A Spread Spectrum Clock Generator (SSCG) is used in electronics to purposefully vary the frequency of a clock signal via modulation. Modulation is accomplished by dispersing the energy of the signal throughout a spectrum of frequencies rather than focusing it on a certain frequency. The main objective of using the spread spectrum approach in clock generation is to minimize electromagnetic interference (EMI) and enhance electromagnetic compatibility (EMC) in electronic systems. The main reason for using many layers of modulation in spread spectrum clock production, regardless of whether the name "Onion Modulation" is used, is to provide a more advanced and adaptable method for reducing electromagnetic interference. The primary design feature of the onion wave is that the core portion of the waveform has the least steep slope, which serves to generate the output. In order to optimize the frequency effect design, the conventional approach involves using a memory ROM to regulate the slope and obtain the desired onion waveform. This current methodology necessitates substantial memory allocation and an intricate architecture, resulting in higher power consumption. The proposed method presents a unique architecture for onion modulation, which offers reduced logic size and power usage. This architecture was created using Verilog HDL, tested using Modelsim, and implemented using the Xilinx Vertex-5 FPGA.
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This ST7735R is a display controller used in small TFT (Thin-Film Transistor) LCD displays. It is often used in combination with microcontrollers or FPGAs to drive these displays. The controller supports the Serial Peripheral Interface mode of communication for sending commands and data to the display. This TFT display helps with a greater number of image and video processing applications. Here we have implemented this TFT display in FPGA hardware implementation using Verilog HDL with a novelty-based architecture design. Finally shown the output with TFT Display.
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Signal processing and communication systems often use digital filters. In certain circumstances, the dependability of such systems is essential, prompting the construction of fault-tolerant filters. Many methods that take use of the structure and characteristics of the filters to achieve fault tolerance have been put forward throughout the years. Technology advances permit more intricate systems with several filters. It is typical for some of the filters in such complicated systems to function in simultaneously, for instance by using the same filter on several input signals. Recently, a straightforward method for achieving fault tolerance was given that takes use of the existence of parallel filters. This paper expands on that concept to demonstrate how error correction codes (ECCs), in which each filter is the equivalent of a bit in a conventional ECC, may be used to secure parallel filters. When there are several parallel filters operating simultaneously, this new technique enables more effective protection. The efficiency of the method in terms of protection and implementation cost is assessed using a case study of parallel finite impulse response filters.
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Traffic management is a critical aspect of modern urban infrastructure, and the ever-increasing volume of vehicles on the road demands innovative and adaptive solutions. This work presents a novel approach to traffic control using Field-Programmable Gate Arrays (FPGAs) as the core technology. The proposed system leverages the capabilities of FPGAs to create a Smart, Intelligent, and Adaptive Traffic Controller that can revolutionize urban traffic management. One of the key features of the proposed work is its adaptability. The system can dynamically adjust traffic signal timings and lane allocations in response to changing traffic patterns of 4-way road conditions with the help of sensor inputs. This methodology adaptability enhances road safety and minimizes traffic delays. The use of FPGA technology in the Traffic controller provides several advantages, including high computational performance, low power consumption, and the ability to reconfigure the system as traffic management needs evolve. Additionally, the system is highly scalable and can be deployed in various urban settings.
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The PRESENT cipher, an ultra-lightweight block cipher, has been designed specifically for environments where resource constraints are a critical factor, such as RFID tags, sensor networks, and various IoT devices. Its compact design, featuring a 64-bit block size, 80-bit key, and 31 rounds, makes it particularly suitable for applications requiring minimal hardware resources, low power consumption, and moderate security. Unlike more robust ciphers like AES, which demand significant computational and memory resources, PRESENT strikes an optimal balance between efficiency and security for constrained devices. This paper explores the practical applications of the PRESENT cipher in secure communication protocols, device authentication, and data encryption in low-power systems. By synthesizing 16-bit, 32-bit, and 64-bit implementations on a Xilinx Virtex-5 FPGA, we demonstrate the cipher’s adaptability across a range of use cases, analyzing key performance metrics such as area, delay, and power consumption. Our findings indicate that PRESENT is highly effective in scenarios where traditional cryptographic solutions are too resource-intensive, offering a viable alternative for securing data in pervasive computing environments. PRESENT’s applications extend to securing communication in embedded systems, protecting sensitive information in contactless payment systems, and enabling secure data transmission in wireless sensor networks. The cipher’s lightweight design ensures that it can be implemented in devices with limited processing capabilities, making it an ideal choice for modern IoT applications. However, the trade-off between security and efficiency must be carefully considered. While PRESENT is suitable for applications with moderate security requirements, it may not provide the level of protection needed for high-security environments.
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