Fft implementation

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  • Orthogonal frequency division multiplexing (OFDM) is becoming the chosen modulation technique for wireless communications. OFDM can provide large data rates with sufficient robustness to radio channel impairments. Many research centers in the world have specialized teams working in the optimization of OFDM for countless applications. Here, at the Georgia Institute of Technology, one of such teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part of the Georgia Center for Advanced Telecommunications Technology (GCATT).

    pdf21p nguyendt10 24-07-2012 53 6   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Multiplierless Implementation of Rotators and FFTs

    pdf8p sting12 11-03-2012 27 4   Download

  • Signal Processing Toolbox Central Features The Signal Processing Toolbox functions are algorithms, expressed mostly in M-files, that implement a variety of signal processing tasks. These toolbox functions are a specialized extension of the MATLAB computational and graphical environment. Filtering and FFTs Two of the most important functions for signal processing are not in the Signal Processing Toolbox at all, but are built-in MATLAB functions: • filter applies a digital filter to a data sequence. • fft calculates the discrete Fourier transform of a sequence.

    pdf20p longtuyenthon 27-01-2010 97 21   Download

  • Part I: Technology Metrics 1. Energy and Delay Models 2. Circuit Optimization 3. Architectural Techniques 4. Architecture Flexibility Part II: DSP Operations and Their Architecture 5. Arithmetic for DSP 6. CORDIC, Divider, Square Root 7. Digital Filters 8. Time-Frequency Analysis: FFT and Wavelets Part III: Architecture Modeling and Optimized Implementation 9. Data-Flow Graph Model 10. Wordlength Optimization 11. Architectural Optimization 12. Simulink-Hardware Flow

    pdf353p nguyenthai_thinh 14-03-2013 56 14   Download

  • One of the first applications of the Cooley-Tukey fast Fourier transform (FFT) algorithm was to implement convolution faster than the usual direct method [13, 25, 30].

    pdf22p nguyen4 17-11-2009 64 9   Download

  • The publication of the Cooley-Tukey fast Fourier transform (FFT) algorithm in 1965 has opened a new area in digital signal processing by reducing the order of complexity of some crucial computational tasks like Fourier transform and convultion from N 2 to N log 2 , where N is the problem size. The development of the major algorithms (Cooley-Tukey and split-radix FFT, prime factor algorithm and Winograd fast Fourier transform) is reviewed. Then, an attempt is made to indicate the state of the art on the subject, showin the standing of researh, open problems and implementations....

    pdf51p nguyen4 17-11-2009 73 7   Download

  • Function Evaluation Algorithms Commercially available DSP processors are designed to efficiently implement FIR, IIR, and FFT computations, but most neglect to provide facilities for other desirable functions, such as square roots and trigonometric functions. The software libraries that come with such chips do include such functions, but one often finds these general-purpose functions to be unsuitable for the application at hand. Thus the DSP programmer is compelled to enter the field of numerical approximation of elementary functions....

    pdf14p doroxon 16-08-2010 52 2   Download


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