'Discrete' diaporamas de présentation

RANDOM VARIABLES, EXPECTATIONS, VARIANCES ETC.

RANDOM VARIABLES, EXPECTATIONS, VARIANCES ETC. Variable. Recall: Variable: A characteristic of population or sample that is of interest for us. Random variable: A function defined on the sample space S that associates a real number with each outcome in S. DISCRETE RANDOM VARIABLES.

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Chapter 9: Mechanisms and Characteristics of Musculoskeletal and Nerve Trauma

Chapter 9: Mechanisms and Characteristics of Musculoskeletal and Nerve Trauma. Mechanical Injury. Trauma is defined as physical injury or wound, produced by internal or external force

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Spectral Leakage in the Discrete Fourier Transform

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

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Lesson 9

Lesson 9. Asynchronous Modulation. m =0.5. m =1. synchronous. asynchronous. Frequency-Selective Filtering with Variable Center Frequency. Frequency-division Multiplexing. Single-Sideband Amplitude Modulation. Single-sideband by Filtering. Single-sideband by Phase-shift.

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Agents

Agents. Today: What Is an Intelligent Agent? Types of agents: Simple reflex agents Agents that keep track of the world Goal-based agents Utility-based agents Environments. What is an agent? . AGENT - perceives with sensors acts through effectors. . The rational agent .

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Skew-symmetric matrices and accurate simulations of compressible turbulent flow

Skew-symmetric matrices and accurate simulations of compressible turbulent flow. Wybe Rozema Johan Kok Roel Verstappen Arthur Veldman. A simple discretization. The d erivative is equal to the slope of the line. The problem of accuracy. exact. 2 nd order.

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Discrete to Continuous

Discrete to Continuous. In each step each bar in the histogram is split into two bars. Now one final step, to an uncountably large number of bars, each infinitely narrow, yielding a continuous, uniform distribution ranging from A to B.

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Describe the purpose, components, and use of speech recognition systems

Describe the purpose, components, and use of speech recognition systems .

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DISCRETE & RANDOM VARIABLES

DISCRETE & RANDOM VARIABLES. Discrete random variable. A discrete random variable is one which may take on only a countable number of distinct values such as 0, 1, 2, 3, 4, ...

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Chapter 2 Fundamentals of Price Risk

Chapter 2 Fundamentals of Price Risk. Uncertainty versus Risk. Uncertainty can be managed when identified as a risk. The difference lies in the impact of the outcomes. Uncertainty is an unknown outcome. Risk is when the unknown outcome has an impact on the person or business. Price Risk

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Modeling Discrete Variables

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Electrical Communications Systems ECE.09.433

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Convolution, Impulse Response, Filters

Convolution, Impulse Response, Filters. Last time we Revisited the impulse function and impulse response Defined the impulse (Dirac delta) function for continuous-time systems Looked into convolution in discrete and continuous time

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Cupcake Math

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Membership Tables: Proving Set Identities with One Example

Membership Tables: Proving Set Identities with One Example. Proof techniques we teach in Discrete Mathematics Direct Proofs Proofs by Contradiction Proofs by Contrapositive Proofs by Cases Mathematical Induction (Strong Form?) Proof techniques we do NOT teach in Discrete Mathematics

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Discrete Structures for Computing

Discrete Structures for Computing. Introductory Lecture. Discrete Mathematics. (1) What is Discrete Mathematics? (2) Kinds of problems solved using Discrete Mathematics (3) Goals of a course in Discrete Mathematics (4) What is Discrete Mathematics good for?.

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Review of Discrete-Time Signal Processing

Review of Discrete-Time Signal Processing. Sampling. CT. DT. Zero-Order Hold (ZOH). Sampling. Impulse train. Sampling. ? (t-nT). Spectrum of Sampled Signal ( ? s >2 ? N ). The spectrum of the sampled signal is periodic in ? s =2 ? /T. Spectrum of Sampled Signal ( ? s <2 ? N ).

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Let X = the number of dropped calls experienced per day by customers of a particular cell phone provider. This random v

Let X = the number of dropped calls experienced per day by customers of a particular cell phone provider. This random variable is . Measurable Discrete Continuous A failure Indeterminate. 10.

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Discreet/Discrete

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