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Vibrations and Oscillations

Vibrations and Oscillations

Vibrations and Oscillations A mass on a spring will oscillate if the mass is pushed or pulled from its equilibrium position. Why?

By emily
(935 views)

Methods in Image Analysis – Lecture 3 Fourier

Methods in Image Analysis – Lecture 3 Fourier

Methods in Image Analysis – Lecture 3 Fourier George Stetten, M.D., Ph.D. U. Pitt Bioengineering 2630 CMU Robotics Institute 16-725 Spring Term, 2006 Frequency in time vs. space Classical “signals and systems” usually temporal signals. Image processing uses “spatial” frequency.

By niveditha
(336 views)

Eratosthenes of Cyrene (276-194 BC)

Eratosthenes of Cyrene (276-194 BC)

Eratosthenes of Cyrene (276-194 BC) . Finding Earth’s Circumference. January 21, 2013 Math 250. Eratosthenes’ Method. Results of Eratosthenes.

By jacob
(302 views)

Chapter 4 The Fourier Series and Fourier Transform

Chapter 4 The Fourier Series and Fourier Transform

Chapter 4 The Fourier Series and Fourier Transform. Fourier Series Representation of Periodic Signals. Let x ( t ) be a CT periodic signal with period T, i.e., Example: the rectangular pulse train. The Fourier Series. Then, x ( t ) can be expressed as

By Thomas
(1407 views)

Chapter 12

Chapter 12

Chapter 12. Fourier Transforms of Discrete Signals . Sampling. Continuous signals are digitized using digital computers When we sample , we calculate the value of the continuous signal at discrete points How fast do we sample What is the value of each point

By Jimmy
(282 views)

Fourier Series & The Fourier Transform

Fourier Series & The Fourier Transform

Fourier Series & The Fourier Transform. What is the Fourier Transform? Anharmonic Waves Fourier Cosine Series for even functions Fourier Sine Series for odd functions The continuous limit: the Fourier transform (and its inverse) . What do we hope to achieve with the Fourier Transform?.

By yates
(1419 views)

Advanced Mathematical Methods

Advanced Mathematical Methods

Advanced Mathematical Methods. COMP3006 Introduction to the course. Introduction. 2 sections Maths-Dr. Karen Page & Statistics –Dr. Simon Prince Maths until reading week. Course contact details. All communication concerning this course will be done via the email list.

By nile
(227 views)

Waves (in general)

Waves (in general)

Waves (in general). sine waves are nice other types of waves (such as square waves, sawtooth waves, etc.) can be formed by a superposition of sine waves - this is called Fourier Series . This means that sine waves can be considered as fundamental . Waves (in general).

By marrim
(198 views)

EMG Analysis and Interpretation

EMG Analysis and Interpretation

EMG Analysis and Interpretation. Extracting information from the signals. Interference EMG. Superimposed muscle action potentials Positive deflections Negative deflections Isoelectric line Algebraic sum of muscle action potentials Amplitude cancellation I.e., interference.

By celerina
(1455 views)

Methods in Image Analysis – Lecture 3 Fourier

Methods in Image Analysis – Lecture 3 Fourier

Methods in Image Analysis – Lecture 3 Fourier. George Stetten, M.D., Ph.D. U. Pitt Bioengineering 2630 CMU Robotics Institute 16-725 Spring Term, 2006. Frequency in time vs. space. Classical “signals and systems” usually temporal signals. Image processing uses “spatial” frequency.

By ewan
(206 views)

Chapter 7 Fourier Series

Chapter 7 Fourier Series

Chapter 7 Fourier Series. 7.1 General Properties. Fourier series. A Fourier series may be defined as an expansion of a function in a series of sines and cosines such as . (7.1) . The coefficients are related to the periodic function f(x)

By tierra
(519 views)

Lecture 11: LTI FIR filter design

Lecture 11: LTI FIR filter design

Lecture 11: LTI FIR filter design. 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. Preliminary considerations. FIR filter:. (11.2.1). transfer function.

By verity
(271 views)

Partial Differential Equations

Partial Differential Equations

Partial Differential Equations. Definition

By ashleigh
(364 views)

Human Growth: From data to functions

Human Growth: From data to functions

Human Growth: From data to functions. Challenges to measuring growth. We need repeated and regular access to subjects for up to 20 years. Height changes over the day, and must be measured at a fixed time.

By genevieve
(173 views)

Chapter 2 Frequency Domain Analysis of Signals and Systems

Chapter 2 Frequency Domain Analysis of Signals and Systems

Chapter 2 Frequency Domain Analysis of Signals and Systems. CONTENTS. Fourier Series Fourier Transforms Power and Energy Sampling of Bandlimited Signals Bandpass Signals. 2.1 FOURIER SERIES.

By gay
(575 views)

Lecture 11

Lecture 11

Lecture 11. Fourier Transforms. Fourier Series in exponential form. Consider the Fourier series of the 2T periodic function: Due to the Euler formula It can be rewritten as With the decomposition coefficients calculated as:. (1). (2). Fourier transform.

By aspen
(183 views)

10.8. Fourier Integrals - Application of Fourier series to nonperiodic function Use Fourier series of a function f L

10.8. Fourier Integrals - Application of Fourier series to nonperiodic function Use Fourier series of a function f L

10.8. Fourier Integrals - Application of Fourier series to nonperiodic function Use Fourier series of a function f L with period L (L  ) Ex. 1 ) Square wave. (2L > 2). Amplitude spectrum. From Fourier Series to the Fourier Integral L  , f(x) ?

By butch
(960 views)

Signals and Systems

Signals and Systems

Signals and Systems. Dr. Mohamed Bingabr University of Central Oklahoma Some of the Slides For Lathi’s Textbook Provided by Dr. Peter Cheung. Course Objectives. • Signal analysis (continuous-time ) • System analysis (mostly continuous systems)

By deacon
(287 views)

Vibrations and Oscillations

Vibrations and Oscillations

Vibrations and Oscillations. A mass on a spring will oscillate if the mass is pushed or pulled from its equilibrium position. Why?

By hedva
(142 views)

Chapter 4

Chapter 4

Chapter 4. Fourier Series & Transforms. Basic Idea. notes. Taylor Series. Complex signals are often broken into simple pieces Signal requirements Can be expressed into simpler problems The first few terms can approximate the signal

By vevay
(339 views)

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