An Efficient Distributed Arithmetic Architecture For Discrete Wavelet Transform

The authors are S. H. Abo El-Nor, H. M. Khattab,  S. M. Khalif, H. M. El-Sayed, O.H.

Each question is marked out of 25%. The technique and detail parameter was subtracted from the paper directly used as a instruction and reference.

In this section, the proposed PiCode system is described with an emphasis on the novel aspects of the image modulation and demodulation process. For the modulation part the details of the modulation scheme will be presented to illustrate how PiCode preserves the perceptual quality of the embedded image while minimizing the interference of the latter incurred on the modulation waveform. For the modulation part, the algorithms for performing discrete cosine transform, block division will be described.

The term computer arithmetic refers to the arithmetic operation performed by the computer system. These arithmetic operations take place via a series of micro-operation, known as arithmetic micro-operations. These micro-operations take place by the use of Arithmetic Logical Unit (A.L.U).This circuit is further composed of two units. The arithmetic Unit and the logical unit composed of logic gates, multiplexers, wires and other logical circuit elements

Dept. of CSE, Dept. of CSE, YCCE, G.H.Raisoni College of Engg. G.H.Raisoni College of Engg. Engg Nagpur,India Nagpur,India

1Department of Mechanical Engineering, R. V. College of Engineering, Bengaluru – 560 059, Karnataka, India

The simplest floating point operation is floating point multiplication the floating point multiplication architecture is shown in Figure 7.1. The algorithm of floating-point multiplication is explained in 5

a Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India

a,b School of Electrical Engineering, Iran University of Science & Technology (IUST), Narmak, Tehran 16844, Iran

A Thesis Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering

Abstract- Video compression utilizes high computational power. For real-time requirements of multimedia applications faster computations need to be performed. To fulfill such requirements of video compression a parallel computational algorithm can be implemented. In this thesis, the parallelism of multi-core architecture was exploited using block matching algorithm. The test-implementation of the algorithm was done on MATLAB. The parallel model was designed using OpenMP and its implementation was tested on multi-core architectures.

Yukiko Kawahara Chinese University of Hong Kong and Mark Speece Asian Institute of Technology, Hong Kong Introduction

Abstract¬--- A algorithm for wavelet transformed images. BPS is block based pass parallel SPIHT is one of the widely used compression much simpler and faster than many existing compression techniques. The drawback of existing method is a poor quality, compression block size of the image is large and the compression efficiency is very low. In this paper we discussed about various compression algorithm to overcome this problem. In improvement of block based pass parallel algorithm carry select adder is used to enhance the speed, efficiency and to reduce area.

1,2Under Graduate Students, 3Assistant Professor,4Associate Professor, Charotar University of Science and Technology, Changa-388421, Gujarat, India

I undersigned ………………………a student of T.Y.B.B.A., here by declare that the project work presented in this report is my own work and has been carried out under the supervision of prof. Kuldeep Jobanputra of R.P.Bhalodia College, Rajkot. This work has not been previously report submitted to any other university for any other examination.