Implementing Large Multiplier Using Smaller ones

Like Booth’s multiplication algorithm another method reduction of partial products is implementing higher multipliers by smaller ones. The larger multiplier blocks can be realized using smaller multiplier blocks. A multiplier can be realized using four multiplier blocks. This is based on the following equation where is the most significant halve of A, is the most […]

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Booth’s Multiplication Algorithm

Booth’s multiplication algorithm is based on the fact that fewer partial products are needed to be generated for consecutive ones and zeros. For consecutive zeros, a multiplier only needs to shift the accumulated result to the right without generating any partial products. For example, the accumulated result is shifted one bit right for every ‘0’

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Square Root and Its Reciprocal

Square root is an important arithmetic operation which is useful in many signal processing algorithms. In implementation of signal processing algorithms, implementation of square root plays a crucial role. Similarly in many applications such as in implementation of QR decomposition using Gram-Schmidt algorithm, computation of square root reciprocal is preferred. In this tutorial we have

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Fast Computation of Square Root and its Reciprocal

Bhakshali Algorithm This method for finding an approximation to a square root or square root reciprocal was described in an ancient Indian mathematical manuscript. This algorithm is quartically convergent. The iterative equations are The variable approaches zero and holds the value of square root. Two variable iterative method This method is used to find square

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FPGA: Basic Overview

An FPGA is a device that contains a matrix of reconfigurable gate array logic circuitry. When a FPGA is configured, the internal circuitry is connected in a way that creates a hardware implementation of the software application. Unlike processors, FPGAs use dedicated hardware for processing logic and do not have an operating system. FPGAs are

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FPGA Implementation of Frequency Domain Denoising Filters

DIGITAL image processing is an ever expanding and dynamic area with applications reaching out into our everyday life such as medicine, space exploration, surveillance, authentication, automated industry inspection and many more areas. These applications involve different processes like image enhancement, image restoration and object detection. During image acquisition and processing images are often corrupted by

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Architectures

The basic building blocks of digital systems are explained in the previous tutorials. In this tutorial section, we will go through designing the complex architectures. We will start by implementing the basic designs and then we will implement more complex designs. Concurrently we will evaluate the performance of the designs in terms of timing, hardware

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