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An Introduction to Compressive Sensing
(col11133)
Authors:
Richard Baraniuk
,
Mark A. Davenport
,
Marco F. Duarte
,
Chinmay Hegde
Subject:
Mathematics and Statistics,
Science and Technology
Language:
English
Popularity:
88.56%
Revised:
20110402
Revisions:
5
Introduction to Compressive Sensing
(col11355)
Author:
Marco F. Duarte
Institution:
University of Massachusetts  Amherst
Keywords:
compressive sensing
Summary:
Course notes for Spring 2015
Subject:
Mathematics and Statistics,
Science and Technology
Language:
English
Popularity:
80.40%
Revised:
20141104
Revisions:
3
Introduction to G Programming
(col11192)
Author:
Eduardo Perez
Keywords:
G
,
G Programming
,
Graphical Programming
,
Interactive Engineering Programming
,
LabVIEW
,
Multicore Programming
,
Parallel Programming
Summary:
This book provides an introduction to G programming, LabVIEW's programming language, and teaches the students, professors and scientists to develop interactive, parallel, multicore programs quickly and easily.
Subject:
Mathematics and Statistics,
Science and Technology
Language:
English
Popularity:
57.94%
Revised:
20100315
Revisions:
New
Introduction to Physics for Vanguard High School (Derived from College Physics)
(col11715)
Author:
Tenicka Norwood
Institution:
OpenStaxCollege
Keywords:
ac circuits
,
atomic physics
,
bioelectricity
,
biological and medical applications
,
circuits
,
college physics
,
collisions
,
dc instruments
,
drag
,
elasticity
,
electric charge and electric field
,
electric current
,
electric potential
,
electrical technologies
,
electromagnetic induction
,
electromagnetic waves
,
energy
,
fluid dynamics
,
fluid statics
,
forces
,
friction
,
frontiers of physics
,
gas laws
,
geometric optics
,
heat and transfer methods
,
kinematics
,
kinetic theory
,
linear momentum
,
magnetism
,
medical applications of nuclear physics
,
Newton’s Laws of Motion
,
Ohm’s Law
,
oscillatory motion and waves
,
particle physics
,
physics
,
physics of hearing
,
quantum physics
,
radioactivity and nuclear physics
,
resistance
,
rotational motion and angular momentum
,
special relativity
,
statics and torque
,
temperature
,
thermodynamics
,
uniform circular motion and gravitation
,
vision and optical instruments
,
wave optics
,
work
Summary:
This introductory, algebrabased, twosemester college physics book is grounded with realworld examples, illustrations, and explanations to help students grasp key, fundamental physics concepts. This online, fully editable and customizable title includes learning objectives, concept questions, links to labs and simulations, and ample practice opportunities to solve traditional physics application problems.
Subject:
Mathematics and Statistics,
Science and Technology
Language:
English
Popularity:
37.39%
Revised:
20141015
Revisions:
New
An Introduction to SourceCoding: Quantization, DPCM, Transform Coding, and Subband Coding
(col11121)
Author:
Phil Schniter
Institution:
The Ohio State University
Keywords:
adaptive quantization
,
aliasing cancellation
,
bit allocation
,
companding
,
cosine matrix transformation
,
cosinemodulated filterbanks
,
differential pulse code modulation (DPCM)
,
discrete cosine transform
,
discrete Fourier transform
,
downsampling
,
entropy coding
,
filterbanks
,
Huffman coding
,
KarhunenLoeve transform
,
lapped transform
,
linear prediction
,
LloydMax quantization
,
lossless predictive encoding
,
modified DCT
,
modulation
,
MPEG
,
polyphase filters
,
polyphase quadrature filterbank (PQF)
,
prediction error
,
pulse code modulation (PCM)
,
quantization
,
quantized predictive encoding
,
ratedistortion theory
,
spectral flatness measure
,
subband coding
,
transform coding
,
uniform quantization
,
upsampling
,
variable length coding
Summary:
These modules comprise a onesemester course on source coding, with an emphasis on audio coding. The course covers quantization, differential pulse code modulation (DPCM), transform coding, and subband coding. The quantization material includes memoryless scalar quantization (uniform and LloydMax), entropy coding, and adaptive quantization. The DPCM section ... audio processing.
[Expand Summary]
These modules comprise a onesemester course on source coding, with an emphasis on audio coding. The course covers quantization, differential pulse code modulation (DPCM), transform coding, and subband coding. The quantization material includes memoryless scalar quantization (uniform and LloydMax), entropy coding, and adaptive quantization. The DPCM section describes PCM, predictive encoding, DPCM, and the design of prediction coefficients. Furthermore, prediction error is analyzed and compared to ratedistortion bounds. The transform coding section includes material on optimal bit allocation, gain over PCM, the KarhunenLoeve transform, performance analysis, and suboptimum orthogonal transforms. Finally, the section on subband coding includes introductory material on multirate signal processing, uniformly modulated filterbanks, cosinemodulated filterbanks, and lapped transforms, with an emphasis on MPEG audio processing.
[Collapse Summary]
Subject:
Mathematics and Statistics,
Science and Technology
Language:
English
Popularity:
68.95%
Revised:
20090925
Revisions:
2
Introduction to Statistics
(col10343)
Author:
Ewa Paszek
Keywords:
Alternative Hypothesis
,
Asymptotic Distributions of Maximum Likelihood Estimators
,
Best critical region
,
Biased and Unbiased Esimators
,
Chebyshev’s Inequality
,
Continuous Distributions
,
Convidence Intervals
,
Critical region for the likelihood ratio test
,
Discrete Distributions
,
Estimation
,
Likelihood Function
,
Likelihood Ratio Tests
,
Mathematical Expectation
,
Maximum Likelihood Estimation (MLE)
,
Mean
,
Most powerful test
,
NeymanPearson Lemma
,
Null Hypothesis
,
Probability Value
,
Random Variable
,
Sample Size
,
Significance level of the test
,
Standard Deviation
,
Standard Error of the Mean
,
tailend probability
,
Test of the Equality of two Independent Normal Distributions
,
Tests about one mean and one variance
,
Tests about Proportions
,
Tests of Statistical Hypotheses
,
The Inverse Probability Method for Generating RandomVariables
,
The Logistic Distribution
,
Type I error
,
Type II error
,
Uniform pseudo_random variable generation
,
Uniformly most powerful critical region
,
Variance
Summary:
This course is a short series of lectures on Introductory Statistics. Topics covered are listed in the Table of Contents. The notes were prepared by Ewa Paszek and Marek Kimmel. The development of this course has been supported by NSF 0203396 grant.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
94.87%
Revised:
20071009
Revisions:
3
Introductory Material to The Good Book: Thirty Years of Comments, Conjectures and Conclusions
(col10572)
Author:
Frederick Moody
Keywords:
Banks
,
David
,
Eric
,
Good
,
Irving
,
Mathematics
,
Smith
,
statistics
Summary:
Introductory essays and interview to The Good Book: Thirty Years of Comments, Conjectures and Conclusions by I.J. Good, edited by David Banks and Eric P. Smith. The collection includes an introduction by Good, a long and thorough interview with him, and three appreciations of his work. I.J. Good is a ... and Simulation.
[Expand Summary]
Introductory essays and interview to The Good Book: Thirty Years of Comments, Conjectures and Conclusions by I.J. Good, edited by David Banks and Eric P. Smith. The collection includes an introduction by Good, a long and thorough interview with him, and three appreciations of his work. I.J. Good is a legendary statistician whose work has had tremendous influence, not only in statistical sciences but also in world politics, from codebreaking during World War II to policy formation during Cold War negotiations with the Soviet Union. The print version of the book, available from Rice University Press, includes thirty years' worth of Good's witty essays on statistics, originally published in the Journal of Statistical Computation and Simulation.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
75.69%
Revised:
20080912
Revisions:
New
Introductory Statistics
(col11562)
Author:
OpenStax College
Keywords:
bar graph
,
binomial distribution
,
box plot
,
central limit theorem
,
chisquare distribution
,
confidence interval
,
contingency table
,
continuous random variable
,
correlation coefficient
,
data
,
data collection
,
discrete random variable
,
ethics
,
expected value
,
experiment
,
exponential distribution
,
F distribution
,
frequency
,
frequency polygon
,
frequency tables
,
geometric distribution
,
goodnessoffit test
,
histogram
,
hypergeometric distribution
,
hypothesis test
,
independent event
,
line graph
,
linear regression
,
mean
,
mean value
,
median
,
mode
,
mutually exclusive event
,
normal distribution
,
oneway ANOVA
,
outlier, correlation
,
Poisson distribution
,
probability
,
probability distribution function
,
random variable
,
sample
,
sampling
,
scatter plot
,
statistics
,
stemandleaf graph
,
stemplot
,
test for homogeneity
,
test of independence
,
test of single variance
,
test of two variances
,
time series graph
,
tree diagram
,
uniform distribution
,
Venn diagram
Summary:
Introductory Statistics is intended for the onesemester introduction to statistics course for students who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section ... particular needs.
[Expand Summary]
Introductory Statistics is intended for the onesemester introduction to statistics course for students who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained stepbystep throughout the text and followed by a Try It problem that is designed as extra practice for students. This book also includes collaborative exercises and statistics labs designed to give students the opportunity to work together and explore key concepts. To support today’s student in understanding technology, this book features TI 83, 83+, 84, or 84+ calculator instructions at strategic points throughout. While the book has been built so that each chapter builds on the previous, it can be rearranged to accommodate any instructor’s particular needs.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
94.44%
Revised:
20140509
Revisions:
17
Introductory Statistics Fall 2014
(col11669)
Author:
Kathleen Elberson
Keywords:
bar graph
,
binomial distribution
,
box plot
,
central limit theorem
,
chisquare distribution
,
confidence interval
,
contingency table
,
continuous random variable
,
correlation coefficient
,
data
,
data collection
,
discrete random variable
,
ethics
,
expected value
,
experiment
,
exponential distribution
,
F distribution
,
frequency
,
frequency polygon
,
frequency tables
,
geometric distribution
,
goodnessoffit test
,
histogram
,
hypergeometric distribution
,
hypothesis test
,
independent event
,
line graph
,
linear regression
,
mean
,
mean value
,
median
,
mode
,
mutually exclusive event
,
normal distribution
,
oneway ANOVA
,
outlier, correlation
,
Poisson distribution
,
probability
,
probability distribution function
,
random variable
,
sample
,
sampling
,
scatter plot
,
statistics
,
stemandleaf graph
,
stemplot
,
test for homogeneity
,
test of independence
,
test of single variance
,
test of two variances
,
time series graph
,
tree diagram
,
uniform distribution
,
Venn diagram
Summary:
Introductory Statistics is intended for the onesemester introduction to statistics course for students who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section ... particular needs.
[Expand Summary]
Introductory Statistics is intended for the onesemester introduction to statistics course for students who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained stepbystep throughout the text and followed by a Try It problem that is designed as extra practice for students. This book also includes collaborative exercises and statistics labs designed to give students the opportunity to work together and explore key concepts. To support today’s student in understanding technology, this book features TI 83, 83+, 84, or 84+ calculator instructions at strategic points throughout. While the book has been built so that each chapter builds on the previous, it can be rearranged to accommodate any instructor’s particular needs.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
41.51%
Revised:
20140630
Revisions:
New
Introductory Survey and Applications of Machine Learning Methods
(col11400)
Author:
Dan Calderon
Institution:
Rice University
Keywords:
Logistic Regression, Statistical Physics,
Summary:
This Collection describes the results from an ELEC 631 project at Rice University on basic machine learning theory, and the application of a set of algorithms to various problems, synthetic and realworld.
Subject:
Mathematics and Statistics,
Science and Technology
Language:
English
Popularity:
24.25%
Revised:
20111222
Revisions:
New
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