PIPELINED RADIX-2K FEED FORWARD FFT ARCHITECTURES ABSTRACT The Fast Fourier transform (FFT) is one of the most important algorithms in the field of digital signal processing. It is used to calculate the discrete Fourier transform (DFT) efficiently. In order to meet the high performance and real-time requirements of modern applications‚ hardware designers have always tried to implement efficient architectures for the computation of the FFT. In this context‚ pipelined hardware architectures are
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code size secondary. Contents 1 Introduction .......................................................................................... 2 TMS470R1x Architecture .......................................................................... 3 Fourier Transform .................................................................................. 4 FFT ................................................................................................... 5 Implementation ...................................
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GUI based Performance Analysis of Speech Enhancement Techniques Mr. Shishir Banchhor Mr. Jimish Dodia Ms. Darshana Gowda Ms. Pooja Jagtap Student‚ B.E. (EXTC) Student‚ B.E. (EXTC) Student‚ B.E. (EXTC) Student‚ B.E. (EXTC) K.J. Somaiya I.E.I.T K. J. Somaiya I.E.I.T K.J. Somaiya I.E.I.T K.J. Somaiya I.E.I.T Sion‚ Mumbai-22 Sion‚ Mumbai-22 Sion‚ Mumbai-22 Sion‚ Mumbai-22
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Wavelet-Transform-Based Algorithm for Harmonic Analysis of Power System Waveforms Javid Akhtar‚ Md Imran Ali Baig Ghousia College of Engineering Ramanagaram-571511 mirzaimranalibaig@gmail.com Abstract The concept is to develop an approach based on wavelet transform for the evaluation of harmonic contents of power system waveforms. This new algorithmic approach can simultaneously identify all harmonics including integer‚ non-integer and sub-harmonics. This algorithm presents features that
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www.jntuworld.com Department of Electronics and Communication VCET‚Hyderabad. DIGITAL SIGNAL PROCESSING LAB MANUAL III YEAR II SEMESTER (ECE) Prepared by: K. Ashok Kumar Reddy Department of Electronics & Communications Engineering‚ Visvesvaraya College of Engineering & Technology‚ Ibrahimpatnam. Digital Signal Processing Lab Manual Page 1 www.jntuworld.com www.jntuworld.com Department of Electronics and Communication VCET‚Hyderabad. JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD III
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References: [1] J.W. Cooley‚ J.W. Tukey‚ An algorithm for the machine calculation of complex Fourier series‚ Math. Comput. 19 (1965) 297–301. [2] P. Cull‚ J.L. Holloway‚ Computing Fibonacci numbers quickly‚ Inform. Process. Lett. 32 (1989) 143–149. [3] M.C. Er‚ Computing sums of order-k Fibonacci numbers in log time‚ Inform. Process. Lett. 17 (1983)
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multiplication. • Real Time Systems demand instantaneous response to environmental variables and quick execution of taken decision. • Multiplication algorithms find applications in Digital Signal Processing (DSP) for discrete Fourier transforms‚ Fast Fourier transforms‚ convolution‚ digital filters‚ etc. Therefore any new multiplication algorithm opens up a new approach for improving existing schemes. This calls for a ‘time efficient’ algorithm for ‘multiplication’ to improve processor throughput
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Int. J. Electron. Commun. (AEÜ) 63 (2009) 569 – 575 www.elsevier.de/aeue A bandwidth-efficient method for cancellation of ICI in OFDM systems Arvind Kumar∗ ‚ Rajoo Pandey Department of Electronics and Communication Engineering‚ National Institute of Technology (Deemed University)‚ Kurukshetra 136119‚ India Received 18 September 2007; accepted 14 April 2008 Abstract Orthogonal frequency division multiplexing (OFDM) is a very important modulation technique in wideband wireless communication
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Frequency-Division Multiple Access) modulator and demodulator. The aim is to create a high level implementation of a high performance FFT for OFDM Modulator and Demodulator. This project concentrates on developing Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT). The work also includes in designing a mapping module‚ serial to parallel and parallel to serial converter module. The design uses 8point FFT and IFFT for the processing module which indicate that the processing
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TELECOMMUNICATION 1 2012-2013 Fall Project SINC FUNCTION‚ SSB-AM‚ FM Name: Onur Mustafa Erdoğan ID Number: 10014044 Submission Date: 24.12.2012 Abstract: In these project‚ I will analyze Fourier Transform of sinc function and it’s modulation.(SSB-AM‚FM) I will explain SSB-AM and FM theoretically and solve their math model in steps. After all‚ I’ll use simulations and graphics to prove my solutions and In the and‚ I will write my conclusions down. Introduction SSB-AM [1]In
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