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Speech Processing: Theory of LPC Analysis and Synthesis
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Statistics
Music Fundamentals 4: Intervals
(col10730)
Author:
Terry B. Ewell
Institution:
Towson University
Keywords:
Intervals
,
Music
,
Theory
Summary:
This collection is a portion of the materials supplied to students at Towson University for courses MUSC 133 (Musicianship 1) and MUSC 105 (Music Theory for Non-Majors).
Subject:
Arts
Language:
English
Popularity:
86.26%
Revised:
2009-07-13
Revisions:
New
Synthesis and Purification of Bulk Semiconductors
(m23936)
Authors:
Carissa Smith
,
Andrew R. Barron
Keywords:
aluminum
,
antimony
,
arsenic
,
As
,
bauxite
,
boron
,
byproduct
,
calcium
,
carbon
,
carbon monoxide
,
charcoal
,
chromium
,
CO
,
cobalt
,
coke
,
copper
,
cubic
,
electrode
,
fluidized bed
,
furnace
,
Ga
,
gallium
,
gallium arsenide
,
gold
,
inert gas
,
iron
,
lead
,
magnesium
,
manganese
,
mercury
,
molybdenum
,
monosilane
,
nickel
,
oxygen
,
phosphorous
,
polysilicon
,
purification
,
quartz
,
rhombohedral
,
sand
,
Seimens
,
semiconductor
,
Si
,
silicate
,
silicon
,
silicon tetrachloride
,
siver
,
slim rod
,
sublime
,
synthesis
,
titanium
,
vanadium
,
vapor pressure
,
zirconium
,
zone refining
Subject:
Science and Technology
Language:
English
Popularity:
86.82%
Revised:
2009-09-17
Revisions:
6
Collaborative Statistics (with edits: Teegarden)
(col10561)
Author:
Mary Teegarden
Keywords:
anova
,
binomial
,
bivariate
,
central
,
chi
,
confidence
,
continuous
,
data
,
dean
,
descriptive
,
discrete
,
distribution
,
elementary
,
exponential
,
geometric
,
hypergeometric
,
hypothesis
,
illowsky
,
intervals
,
limit
,
linear
,
mean
,
normal
,
poisson
,
probability
,
random
,
regression
,
sampling
,
square
,
statistics
,
student-t
,
testing
,
theorem
,
uniform
,
univariate
,
variables
Summary:
Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in courses offered by many California community colleges in regular and honors-level classroom settings and in distance learning classes ... Mary Teegarden.
[Expand Summary]
Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in courses offered by many California community colleges in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. The labs have been modified to include information on mini-tabs by Mary Teegarden.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
93.17%
Revised:
2009-07-20
Revisions:
3
Candy Lab
(m17323)
Author:
Mary Teegarden
Keywords:
cumulative
,
data
,
frequency
,
relative
,
sampling
,
statistics
,
systematic
Summary:
This lab allows students to practice and demonstrate techniques used to generate systematic samples. Students will have the opportunity to create relative frequency tables and interpret results based on different data groupings. Labs modified to include minitab usage. This replaces the Chapter 1, Lab 1 from the Collaborative Statistics by Dean and Illowsky.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
57.56%
Revised:
2009-07-14
Revisions:
2
Linear Regression
(m23468)
Author:
Paul E Pfeiffer
Keywords:
Correlation coefficient
,
Estimates
,
Mean square error
,
Regression line
Summary:
Consider a pair {X,Y} with a joint distribution. A value X(ω) is observed. It is desired to estimate the corresponding value Y(ω). The best that can be hoped for is some estimate based on an average of the errors, or on the average of some function of ... is considered
[Expand Summary]
Consider a pair {X,Y} with a joint distribution. A value X(ω) is observed. It is desired to estimate the corresponding value Y(ω). The best that can be hoped for is some estimate based on an average of the errors, or on the average of some function of the errors. The most common measure of error is the mean (expectation) of the square of the error. This has two important properties: it treats positive and negative errors alike, and it weights large errors more heavily than smaller ones. In general, we seek a rule (function) r such that the estimate is r(X(ω)). That is, we seek a function r such that the expectation of the square of Y - r(X) is a minimum. The problem of determining such a function is known as the regression problem. LINEAR REGRESSION: we seek the best straight line function (the regression line of Y on X) of the form u = r(t) + b, such that the mean square of Y - r(X) is a minimum. Matlab approximation procedures are compared with analytic results. More general linear regression is considered
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
73.17%
Revised:
2009-09-18
Revisions:
6
Information Communication Problems
(m10352)
Author:
Don Johnson
Summary:
Problems Dealing with Information Communication.
Subject:
Science and Technology
Language:
English
Popularity:
91.26%
Revised:
2009-11-19
Revisions:
26
Continuous Random Variables: Lab I
(m17348)
Author:
Mary Teegarden
Keywords:
box
,
continuous
,
distribution
,
elementary
,
empirical
,
exercise
,
histogram
,
lab
,
plot
,
statistics
,
uniform
Summary:
In this lab exercise, students will compare and contrast empirical data using Minitab with the Uniform Distribution. Note: This module is based on a student being able to access the Minitab statistical program. This modu
Subject:
Mathematics and Statistics
Language:
English
Popularity:
54.33%
Revised:
2009-07-14
Revisions:
2
Software development process
(m28927)
Author:
Hung Vo
Keywords:
Iterative process
,
Process models
,
Software process
,
Waterfall process
Summary:
A software development process is a structure imposed on the development of a software product. This session introduces several models for such processes, each describing approaches to a variety of tasks or activities that take place during the process.
Language:
Tiếng Việt
Popularity:
96.67%
Revised:
2009-07-27
Revisions:
2
The Quantile Function
(m23385)
Author:
Paul E Pfeiffer
Keywords:
Independent classes
,
Matlab procedures
,
Normal distribution
,
Properties
,
Random number generator
,
Sampling
,
Simple random variables
,
Weibull distribution
Summary:
If F is a probability distribution function, the associated quantile function Q is essentially an inverse of F. The quantile function is defined on the unit interval (0,1). For F continuous and strictly increasing at t, then Q(u)=t iff F(t)=u. Thus, if u is a ... quantile functions.
[Expand Summary]
If F is a probability distribution function, the associated quantile function Q is essentially an inverse of F. The quantile function is defined on the unit interval (0,1). For F continuous and strictly increasing at t, then Q(u)=t iff F(t)=u. Thus, if u is a probability value, t=Q(u) is the value of t for which P(X≤t)=u. As an application, one may generate independent classes with prescribed distributions. Matlab procedures are developed for a variety of problems involving quantile functions.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
86.97%
Revised:
2009-09-18
Revisions:
7
Signals and Systems
(col10803)
Authors:
Vu Dinh Thanh
,
Truc Pham-Dinh
Institution:
Ho Chi Minh University of Technology - Vietnam National University
Keywords:
Signals
,
Systems
Summary:
The course provides students basic knowledge about signals, sampling, time domain analysis of signals, frequency domain analysis of signals.
Language:
English
Popularity:
79.88%
Revised:
2009-07-29
Revisions:
New
Analog Signal Processing Problems
(m10349)
Author:
Don Johnson
Keywords:
analog
,
analog problem
,
ASP
,
problems
,
signals
Summary:
Problems Dealing with Analog Signal Processing
Subject:
Science and Technology
Language:
English
Popularity:
95.01%
Revised:
2009-08-04
Revisions:
43
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