'Discrete fourier transform' diaporamas de présentation

Orthogonal Transforms

Orthogonal Transforms. Fourier Walsh Hadamard. Review. Introduce the concepts of base functions: For Reed-Muller, FPRM For Walsh Linearly independent matrix Non-Singular matrix Examples Butterflies, Kronecker Products, Matrices

1.61k views • 121 slides

Fourier

Fourier. Fourier Analysis. Fourier Analysis. When we analyse a function using Fourier methods, the function is decomposed into its frequency components. This analysis is used in signal processing, filtering. Fourier Analysis.

1.18k views • 50 slides

EE 4780

EE 4780. 2D Discrete Fourier Transform (DFT). 2D Discrete Fourier Transform. 2D Fourier Transform. 2D Discrete Fourier Transform (DFT). 2D DFT is a sampled version of 2D FT. 2D Discrete Fourier Transform. Inverse DFT. 2D Discrete Fourier Transform (DFT). where and .

1.06k views • 42 slides

Chapter 16 Fourier Analysis with MATLAB

Chapter 16 Fourier Analysis with MATLAB.

1.31k views • 37 slides

DEVELOPMENT OF QUANTITATIVE MEASURES FOR CHARACTERIZATION OF UPPER LIMB DYSFUNCTION

DEVELOPMENT OF QUANTITATIVE MEASURES FOR CHARACTERIZATION OF UPPER LIMB DYSFUNCTION. Pravin Nair Advisor : Dr. Venkat Krovi Mechanical and Aerospace Engineering Department State University of New York at Buffalo. Presentation Overview. Motivation - Stroke, Rehabilitation and Diagnosis

523 views • 37 slides

Looking for Climate Signals in Ice Cores Santa Fe, 2011

Looking for Climate Signals in Ice Cores Santa Fe, 2011. Gerald R. North Thanks to Petr Chylek for the data and encouragement. g-north@tamu.edu. Two simulated time series of length of the time series: N=1000. Pure white noise N(0, 1). Pure white noise N(0, 1) + 0.3 Sin[2 p t/11].

486 views • 33 slides

Spectral Leakage in the Discrete Fourier Transform

Spectral Leakage in the Discrete Fourier Transform. Greg Adams, LMCO MS2, 4/10/07.

663 views • 31 slides

Information Hiding in Digital Data

Information Hiding in Digital Data. Dr. Jennifer Davidson Dept. of Electrical & Computer Engineering Department of Mathematics. Overview. What is information hiding? General model for hiding & extraction Example of steganography applied to an image Motivation for research in data hiding

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Pattern Matching with Acceleration Data

Pattern Matching with Acceleration Data . Pramod Vemulapalli. Outline . 50 % Tutorial and 50 % Research Results Basics Literature Survey Acceleration Data Preliminary Results Conclusions . What is A Time-Series Subsequence ?. Time Series . Time Series Subsequence .

575 views • 29 slides

Holism

580 views • 23 slides

Mergesort

Department of Computer and Information Science, School of Science, IUPUI. Mergesort. Dale Roberts, Lecturer Computer Science, IUPUI E-mail: droberts@cs.iupui.edu. Why Does It Matter?. Run time (nanoseconds). 1.3 N 3. 10 N 2. 47 N log 2 N. 48 N. Time to solve a problem of size. 1000.

399 views • 21 slides

Fast Fourier Transform

Fast Fourier Transform. Irina Bobkova. Overview. I. Polynomials II. The DFT and FFT III. Efficient implementations IV. Some problems. Representation of polynomials. A polynomial in the variable x over an algebraic field F is representation of a function A(x) as a formal sum

593 views • 18 slides

Image processing

Image processing. Adaptive filters: Wiener and Lucy Richardson filters. Image model. Original data = Image * PSF of blurring +additive noise * - convolution operator The Importance of the PSF

650 views • 17 slides

Detection of Linear and Cubic Interpolation in JPEG Compressed Images

Detection of Linear and Cubic Interpolation in JPEG Compressed Images. Andrew C. Gallagher Eastman Kodak Company andrew.gallagher@kodak.com. The Problem. An image consists of a number of discrete samples. Interpolation can be used to modify the number of and locations of the samples.

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A New Class of High Performance FFTs

319 views • 11 slides

Digital Signal Processing

Digital Signal Processing. Discrete Fourier Transform. Discrete Fourier Transform. Inverse Discrete Fourier Transform. Properties of DFT. DFT has the same number of datapoints as the signal The signal is assumed to be periodic with a period of N

521 views • 11 slides

Image processing

342 views • 10 slides

Introduction to Fast Fourier Transform (FFT) Algorithms

Introduction to Fast Fourier Transform (FFT) Algorithms. R.C. Maher ECEN4002/5002 DSP Laboratory Spring 2003. Discrete Fourier Transform (DFT). The DFT provides uniformly spaced samples of the Discrete-Time Fourier Transform (DTFT) DFT definition:

1.19k views • 8 slides

Fast Fourier Transform

Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin. Fast Fourier Transform. Discrete-Time Fourier Transform. Forward transform of discrete-time signal x [ n ] Assumes that x [ n ] is two-sided and infinite in duration

377 views • 8 slides

Fast Signal Processing Algorithms

Fast Signal Processing Algorithms. Summary and Requirements. Summary. Time continuous signals and their spectrum; Time discrete signals Relationship to analog signals (sampling) Spectrum: Discrete Time Fourier Transform (DTFT) Discrete Fourier Transform and its relationship to DTFT.

301 views • 7 slides