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Orthogonal

Orthogonal Frequency Division Multiplexing (OFDM)

Orthogonal Frequency Division Multiplex (OFDM) Tutorial 5 In OFDM we have N carriers, N can be anywhere from 16 to 1024 in present technology and depends on the environment in which the system will be used.

Orthogonal Projections

Reections and Projections Notice in Figure 2 that the projection ofvinto Wis the midpoint of the vectorvandits reectionHv=Re W (v); that is, Qv= 1 2 (v+Hv) or, equivalently Hv=2 Qvv; whereQ=Q W denotes the projection onto W.

Linearly Independent, Orthogonal, and Uncorrelated Variables

Linearly Independent, Orthogonal, and Uncorrelated Variables JOSEPH LEE RODGERS, W. ALAN NICEWANDER, and LARRY TOOTHAKER* Linearly independent, orthogonal, and uncorrelated are three terms used to indicate lack of relationship between variables.

Orthogonal and Non-orthogonal Polynomial Constrasts

The SolutionConcentration data set from Applied Linear Statistical Models, 5th edbyKutneretal, measures concentration of a solution over time.

Atlas Orthogonality

OR-THOG-O-NAL-I-TY (N) -the quality or state of being orthogonal. OR-THOG-O-NAL (ADJ) -having to do with or involv-ingrightangles, intersecting at right angles, mutually perpendicular.

14.5 ORTHOGONAL ARRAYS

A 14.5 ORTHOGONAL ARRAYS (Updated Spring 2003) Orthogonal Arrays (often referred to Taguchi Methods) are often employed in industrial experiments to study the effect of several control factors.

AND ORTHOGONAL MATRICES

kT ( ~x ) k = k~xk , for all ~x in Rn . 5.3 ORTHOGONAL TRANSFORMATIONS AND ORTHOGONAL MATRICES Definition5.3.1 Orthogonal transformations and orthogonal matrices A linear transformation T from R n to R n is called orthogonal if it preserves the length of vectors: kT ( ~x ) k = k~xk , for all ~x ...

Orthogonal Polynomials (in Matlab) Walter Gautschi

Orthogonal Polynomials (in Matlab) Walter Gautschi Abstract. A suite of Matlabprograms has been developed as part of the book "Orthogonal Polynomials: Computation and Approximation"expected to be pub-lishedin 2004.

Three-dimensional orthogonal vector basis functions for time ...

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 51, NO. 1, JANUARY 2003 59 Three-Dimensional Orthogonal Vector Basis Functions for Time-Domain Finite Element

Topic 4. Orthogonal contrasts

1 Topic 4. Orthogonal contrasts [ST&D 183] ANOVA is a useful and powerful tool to compare several treatment means. In comparing t treatments, the null hypothesis tested is that the t true means are all equal (H 0: + 1 = + 2 = ... = + t).