'Transform domain' presentation slideshows

MPEG-2 to H.264/AVC Transcoding Techniques

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MPEG-2 to H.264/AVC Transcoding Techniques

528 views • 52 slides

Further Study on YASS: Steganography Based on Randomized Embedding to Resists Blind Steganalysis

Further Study on YASS: Steganography Based on Randomized Embedding to Resists Blind Steganalysis. * Mayachitra, Inc. 5266 Hollister Ave. Santa Barbara, CA-93111, USA http://www.mayachitra.com. A. Sarkar + , K . Solanki *, and B. Manjunath +. + Vision Research Laboratory

705 views • 42 slides

Image Fusion in Discrete Cosine Transform Domain using Masking Techniques

Image Fusion in Discrete Cosine Transform Domain using Masking Techniques. CONTENTS. Image fusion Fusion techniques Literature survey Proposed techniques Mask Rectangular mask Triangular mask Fan shaped mask Strip mask Image fusion in transform domain using masking

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Digital Signal Processing

Digital Signal Processing. Prof. Nizamettin AYDIN naydin @ yildiz .edu.tr http:// www . yildiz .edu.tr/~naydin. Digital Signal Processing. Lecture 14 Z Transforms: Introduction. READING ASSIGNMENTS. This Lecture: Chapter 7, Sects 7-1 through 7-5 Other Reading: Recitation: Ch. 7

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Lecture 14: More on finite-length discrete transforms

Lecture 14: More on finite-length discrete transforms. Instructor: Dr. Gleb V. Tcheslavski Contact: gleb@ee.lamar.edu Office Hours: Room 2030 Class web site: http://ee.lamar.edu/gleb/dsp/index.htm. Smiley face. Orthogonal transforms.

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Lecture 14: More on finite-length discrete transforms

Lecture 14: More on finite-length discrete transforms. Instructor: Dr. Gleb V. Tcheslavski Contact: gleb@ee.lamar.edu Office Hours: Room 2030 Class web site: http://ee.lamar.edu/gleb/dsp/index.htm. Smiley face. Orthogonal transforms.

232 views • 14 slides

Z Transform Primer

Z Transform Primer. Basic Concepts. Consider a sequence of values: {x k : k = 0,1,2,... } These may be samples of a function x(t), sampled at instants t = kT; thus x k = x(kT). The Z transform is simply a polynomial in z having the x k as coefficients:. Fundamental Functions.

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Adaptive Fourier analysis based on the Walsh Hadamard transformation

Structure and Frequency Adaptation of the Recursive Adaptive Fourier Analyzer Based on the Walsh-Hadamard Transformation. 1.3. 1.3. 1.2. 1.2. 1.1. 1.1. 1. 1. 0.9. 0.9. 0.8. 0.8. 0.7. 0.7. 0.6. 0.6. 0.5. 0.5. 0.4. 0.4. 1.8. 0.3. 0.3. 1.7. 0.2. 0.2. 0.1. 0.1. 1.6. 0. 0.

263 views • 1 slides