7.5 Even Transform Examples scaled cosine offset cosine

Slides:



Advertisements
Similar presentations
Notes Dilations.
Advertisements

Fourier Integrals For non-periodic applications (or a specialized Fourier series when the period of the function is infinite: L  ) L -L L  -L  - 
Triangles Unit 4.
Sep 15, 2005CS477: Analog and Digital Communications1 Modulation and Sampling Analog and Digital Communications Autumn
Automatic Control Laplace Transformation Dr. Aly Mousaad Aly Department of Mechanical Engineering Faculty of Engineering, Alexandria University.
Geometry: Dilations. We have already discussed translations, reflections and rotations. Each of these transformations is an isometry, which means.
Ratios and Scale Factors Slideshow 33, Mathematics Mr. Richard Sasaki, Room 307.
Using Transformations to Graph the Sine and Cosine Curves The following examples will demonstrate a quick method for graphing transformations of.
Geometry Notes Lesson 5.3A – Trigonometry T.2.G.6 Use trigonometric ratios (sine, cosine, tangent) to determine lengths of sides and measures of angles.
ECE 8443 – Pattern Recognition EE 3512 – Signals: Continuous and Discrete Objectives: Linearity Time Shift and Time Reversal Multiplication Integration.
SE 207: Modeling and Simulation Introduction to Laplace Transform
Vibrate the membrane Acoustic wave.
© T Madas. Every length has doubled The Scale Factor is 2 Object Image Scale factor is the number of times the lengths of the original shape have been.
Chapter 5: Fourier Transform.
Linearity Recall our expressions for the Fourier Transform and its inverse: The property of linearity: Proof: (synthesis) (analysis)
Area of a quadrilateral is when you calculate Length X Width length width Area = length x width.
 Ratio: Is a comparison of two numbers by division.  EXAMPLES 1. The ratios 1 to 2 can be represented as 1:2 and ½ 2. Ratio of the rectangle may be.
Dilations in the Coordinate Plane
Section – The Binomial Series Pascal’s Triangle.
Digital Image Processing, 2nd ed. © 2002 R. C. Gonzalez & R. E. Woods Chapter 4 Image Enhancement in the Frequency Domain Chapter.
Chapter 4 Image Enhancement in the Frequency Domain.
Logarithmic Functions
What does it mean to have a shape that is similar to this rectangle? What would it take and why?
SIMILAR AND CONGRUENT POLYGONS LESSON 35POWER UP GPAGE 229.
Do Now Check answers to your review sheet Circle problems you have questions about Look at #15. Is it possible for those two pentagons to not be similar.
Similar Solids definition Similar Solids Two solids in which their corresponding linear measures form equal ratios
Enlargement Simple scale factors. Find the scale factor and the missing length ?
ECE 3323 Principles of Communication Systems Section 3.2 Fourier Transform Properties 1.
Dilations A dilation is a transformation that produces an image that is the same shape as the original, but is a different size. A dilation stretches or.
Changes in Dimensions. 5 ft 8 ft EX1)Suppose the dimensions of the rectangle are doubled. What effect would this have on the perimeter? On the Area? P=
Expanding Single Brackets Quadratic Sequences
Do Now Find the value of every missing variable:.
Warm Up – Tuesday, August 19th
LECTURE 11: FOURIER TRANSFORM PROPERTIES
Section 11-7 Ratios of Areas.
SECTION 11-7 RATIOS OF AREAS.
Learning Journey – Pythagoras’ Theorem and Trigonometry
Ratios and Scale Factors
Notes Over Pythagorean Theorem
Image Enhancement in the
פחת ורווח הון סוגיות מיוחדות תהילה ששון עו"ד (רו"ח) ספטמבר 2015
Today (4/7/16) Learning objectives: Comb basis set functions (7.9)
Fourier Integrals For non-periodic applications (or a specialized Fourier series when the period of the function is infinite: L) -L L -L- L
Warm Up:.
9-5: Dilations.
Combinations of Functions; Composite Functions
Sine and Cosine Rule s.small.
Students will be able to dilate shapes
I. Previously on IET.
Similar Figures.
Bell work:.
7.4 Fourier Transform Theorems, Part I
7.3 Even Basis Set Transforms
Preliminaries 0.1 THE REAL NUMBERS AND THE CARTESIAN PLANE 0.2
Chapter 12 Review Domain: Range: x y
Chapter 3: Solving Equations
5.4 Graphs of the Sine and Cosine Functions
Objective - To find the area of squares and rectangles.
7.7 Fourier Transform Theorems, Part II
Similarity and Transformations
Warm Up:.
Chapter 8 Similarity.
Discrete Fourier Transform
Geometry B Final Review
Pythagorean Theorem.
Similarities Differences
LECTURE 11: FOURIER TRANSFORM PROPERTIES
Chapter 8 Similarity.
Dilations A dilation is a transformation that changes the size but not the shape of an object or figure. Every dilation has a fixed point that is called.
Page 7 Original Expression: Step 1: Step 2: Step 3:
Presentation transcript:

7.5 Even Transform Examples scaled cosine offset cosine missing one frequency double rectangle centered dip similarity theorem 7.5 : 1/11

Scaled Cosine 7.5 : 2/11

Offset Cosine: Time Domain 7.5 : 3/11

Offset Cosine: Frequency Domain 7.5 : 4/11

Missing One: Frequency Domain 7.5 : 5/11

Missing One: Time Domain 7.5 : 6/11

Double Rectangle: Time Domain 7.5 : 7/11

Double Rectangle: Frequency Domain 7.5 : 8/11

Centered Dip: Time Domain 7.5 : 9/11

Centered Dip: Frequency Domain 7.5 : 10/11

Similarity Theorem 7.5 : 11/11