hello

i am searching about free download matlab code to implement the shearlet transform for edge detection in images.


thank you ....etc

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A FAST PIPELINED IMPLEMENTATION OF TWO DIMENSIONAL INVERSE DISCRETE COSINE TRANSFORMS

Abstract:- The inverse discrete cosine transform (IDCT) is a significant component in todayâ„¢s JPEG and MPEG decoders. Of all the stages in the decoding process of a JPEG file, the IDCT is the most computationally intensive. Hence, we require fast and efficient implementations, either in software or hardware. Numerous individual designs for computing the ID-IDCT have been proposed. Our 2D-IDCT incorporates two of our ID-IDCT cores and a transpose netwo ....etc

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edge directional image interpolation using shearlet transform ppt
....etc

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PRESENTED BY:
Dr. Dillon


Laplace Transforms
What Are Laplace Transforms?
A Laplace transform is an example of an improper integral : one of its limits is infinite.
A Calculation
To What End Does One Use Laplace Transforms?
Then What?
How Do You Transform an Differential Equation?
How Do You Find Inverse Laplace Transforms?
Inverse Laplace Transforms
Why Use Such Dangerous Machines?
When Might You Have To?
Impulse?
The Dirac Delta Function
The Laplace Transform of the
Dirac Delta Function
Beware ....etc

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Hi Dear!
I wanne know more information about using shearlet transform in Iris recognition.
Please help me! ....etc

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FAST HADAMARD TRANSFORMS

Abstract:- The Hadamard transform (also known as the Walsh-Hadamard transform, Hadamard-Rademacher-Walsh transform, Walsh transform, or Walsh-Fourier transform) is an example of a generalized class of Fourier transforms. The Hadamard transform can be regarded as being built out of size-2 discrete Fourier transforms (DFTs), and is in fact equivalent to a multidimensional DFT of size. It decomposes an arbitrary input vector into a superposition of Walsh functions. ....etc

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edge directional image interpolation using shearlet transform ppt
....etc

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ABSTRACT
Mathematical transformations are applied to signals to obtain further information from the signal that is not readily available in the raw signal. By applying the various transformations available today, the frequency information in these signals is obtained. There are many transforms that are used quite often by engineers and mathematicianâ„¢s. Hilbert transforms, short-time Fourier transforms, Radon transform, and the Wavelet transform constitute only a small portion of a huge list of transf ....etc

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please send me the complete information on wavelet transform for image compression applications ....etc

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Introduction

Wavelet transforms have been one of the important signal processing developments in the last decade, especially for the applications such as time-frequency analysis, data compression, segmentation and vision. During the past decade, several efficient implementations of wavelet transforms have been derived. The theory of wavelets has roots in quantum mechanics and the theory of functions though a unifying framework is a recent occurrence. Wavelet analysis is performed using a prototype function called a wavelet.

Wavelets are ....etc

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