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Performance Improvement of Full Adder using H-CMOS Logic Imran Mehmood* and Muhammad Aqueel Ashraf Department of Electronics, Quaid-i-Azam University Islamabad, Pakistan. *Email: imran_kanjoo@yahoo.com Abstract— In this research work we present hybrid CMOS (H-CMOS) logic style for the performance improvement of one bit full Adder cell. This structure provides better implementation of for the proposed full Adder in terms of delay and compared to its counterpart power delay product. It is expected to that the propagation delay of the proposed structure of the full Adder provides more than 22 percent less compared to the next fastest Adder available. HSpice simulations using 65nm technology with a power supply of 1.2V was utilized to evaluate the performance of the circuits. Keywords— full Adder, high-performance, high-speed, hybrid-CMOS, propagation delay. INTRODUCTION Most of the VLSI applications, such as digital signal processing, image and video processing, and digital filter design, widely use arithmetic operations. Addition, subtraction and multiplication are examples of the most commonly used operations. The 1-bit full Adder cell is the building block of these units. Hence, improving its performance is critical for improving the overall unit performance. The most important performance parameters for a generic VLSI system are power consumption, speed, and chip area. Several logic styles have been used in the past to design full Adder cells. Each logic style has

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The low level and high level voltages for CMOS logic families are different than TTL logic families. The low level input voltage is from 0 to 1.5 volts and high level input voltage is from 3.5 to 5 volts. For output low logic state ranges from 0 to 0.05 volts and high logic state ranges from 4.95 to 5 volts. The noise margin is high for CMOS circuits compared to TTL one which is 1.45 volts for low and high

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Digital and microcomputer applications, telecommunications, image processing, digital signal processing, computer architecture, electromagnetic compatibility and computer insights are some involved in the recent progresses in computer engineering. These fields

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In the following, we present three different algorithms to reduce the total power consumption. Each of these algorithms establishes a different method to process the variable precision data held in the operands buffer. In the following, the specified throughput Tp for the proposed 32 × 32 bit multiplier is 64 F (Mbits/s), where F is the multiplier’s operating frequency

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The outputs in the full adder are the sum digit and the new ____ digit.

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The primary defining characteristic of IA-32 is the availability of 32-bit general-purpose processor registers (for example, EAX and EBX), 32-bit integer arithmetic and logical operations, 32-bit offsets within a segment in protected mode, and the translation of segmented addresses to 32-bit linear addresses. The designers took the opportunity to make other improvements as well. Some of the most significant changes are described

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## Unit 8 Assignment 1: 2 Or 3 Bit Operands

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Any time you want to deal with these kind of alu items be it add, subtract, multiply, etc, start with 2 or 3 bit numbers, much easier to get a handle on than 32 or 64 bit numbers. after 2 or 3 bits it doesnt matter if it is 22 or 2200 bits it all works exactly the same from there on out. Basically you can by hand if you want make a table of all 3 bit operands and their results such that you can examine the whole table visually, but a table of all 32 bit operands against all 32 bit operands and their results, cant do that by hand in a reasonable time and cannot examine the whole table visually.

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## Hardware Efficient Delta Sigma Linear Processing Circuits

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Abstract: This paper presents hardware efficient Delta Sigma linear processing circuits for the next generation low power VLSI device in the Internet-of-things (IoT). We first propose the P-N pair method to manipulate both the analog value and length of a first-order Delta Sigma bit sequence. We then present a binary counter method. Based on these methods, we develop Delta Sigma domain on-the-ﬂy digital-signal-processing circuits: the Delta Sigma sum adder, average adder, and coefficient multiplier. The counter-based average adder can work with both first-order and higher-order Delta Sigma modulators and can also be used as a coefficient multiplier. The functionalities of the proposed circuits are verified by Matlab simulation and FPGA implementation. We also compare the area and power between the proposed Delta Sigma adders and a conventional multi-bit adder by synthesizing both circuits in the IBM 0.18 µm technology. Synthesis results show that the proposed Delta Sigma processing circuits can extensively reduce circuit area and power. With 100 inputs, a Delta Sigma average adder saves 94% of the silicon area and 96% of the power compared to a multi-bit binary adder. The proposed circuits have the potential to be widely used in future miniaturized low power VLSI circuits.

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