Multimedia and image processing applications, may tolerate errors in calculations but still generate meaningful and beneficial results. This work deals with a high speed approximate multiplier with TDM tree and carry prediction circuit. The modified multiplier utilizes an optimised TDM carry save tree which reduces the device utilization on FPGA as well as the combinational path delay and power consumption. The proposed design is analyzed using the simulation and implementation results on Xilinx Spartan 3E family
Multiplication is a fundamental operation in most arithmetic computing systems. Multipliers have lar...
The performance of multiplication in terms of speed and power is crucial for many Digital Signal met...
Multiplications occur frequently in digital signal processing systems, communication systems, and ot...
AbstractMultimedia and image processing applications, may tolerate errors in calculations but still ...
Computation accuracy can be adequately tuned on the specific application requirements in order to re...
CMOS scaling has reached to the level, where process variation has become significant problem hinder...
We propose a high-speed, energy-efficient approximation multiplier. The method is to round the coeff...
Inexact (or approximate) computing is an attractive paradigm for digital processing at nanometric sc...
Approximate computing circuits are considered as a promising solution to reduce the power consumptio...
Low power consumption is the necessity for the integrated circuit design in CMOS technology of nanom...
The need for low-power VLSI chips is ignited by the enhanced market requirement for battery-powered ...
Approximate computing is a popular field where accuracy is traded with energy. It can benefit applic...
Multiplier, as a key role in many different applications, is a time-consuming, energy-intensive comp...
This paper proposes a novel approximate adder that exploits an error-reduced carry prediction and co...
For a variety of different applications, including processing of image, expert systems, the smart th...
Multiplication is a fundamental operation in most arithmetic computing systems. Multipliers have lar...
The performance of multiplication in terms of speed and power is crucial for many Digital Signal met...
Multiplications occur frequently in digital signal processing systems, communication systems, and ot...
AbstractMultimedia and image processing applications, may tolerate errors in calculations but still ...
Computation accuracy can be adequately tuned on the specific application requirements in order to re...
CMOS scaling has reached to the level, where process variation has become significant problem hinder...
We propose a high-speed, energy-efficient approximation multiplier. The method is to round the coeff...
Inexact (or approximate) computing is an attractive paradigm for digital processing at nanometric sc...
Approximate computing circuits are considered as a promising solution to reduce the power consumptio...
Low power consumption is the necessity for the integrated circuit design in CMOS technology of nanom...
The need for low-power VLSI chips is ignited by the enhanced market requirement for battery-powered ...
Approximate computing is a popular field where accuracy is traded with energy. It can benefit applic...
Multiplier, as a key role in many different applications, is a time-consuming, energy-intensive comp...
This paper proposes a novel approximate adder that exploits an error-reduced carry prediction and co...
For a variety of different applications, including processing of image, expert systems, the smart th...
Multiplication is a fundamental operation in most arithmetic computing systems. Multipliers have lar...
The performance of multiplication in terms of speed and power is crucial for many Digital Signal met...
Multiplications occur frequently in digital signal processing systems, communication systems, and ot...