ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model - matrix with model points,
data - matrix with data points,
OUTPUT:
R - rotation matrix and
T - translation vector accordingly
so
newdata = R*data + T .
newdata are transformed data points to fit model
see help icp for more information
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
The data files included are .MAT or *.dat (ASCII)files. The m-files and the
data may be distributed, provided that the source is acknowledged in any
publication and the data are not sold. Since this software is being distributed
free of charge, the authors are not offering any technical support. Students who
have any questions or difficulties using this software, or require the
additional functions from the Signal Processing Toolbox should contact their
professor.
This paper examines the asymptotic (large sample) performance
of a family of non-data aided feedforward (NDA FF) nonlinear
least-squares (NLS) type carrier frequency estimators for burst-mode
phase shift keying (PSK) modulations transmitted through AWGN and
flat Ricean-fading channels. The asymptotic performance of these estimators
is established in closed-form expression and compared with the
modified Cram`er-Rao bound (MCRB). A best linear unbiased estimator
(BLUE), which exhibits the lowest asymptotic variance within the family
of NDA FF NLS-type estimators, is also proposed.
In recent years large scientific interest has been
devoted to joint data decoding and parameter estimation
techniques. In this paper, iterative turbo decoding joint
to channel frequency and phase estimation is proposed.
The phase and frequency estimator is embedded into the
structure of the turbo decoder itself, taking into consideration
both turbo interleaving and puncturing. Results
show that the proposed technique outperforms conventional
approaches both in terms of detection capabilities and
implementation complexity.
Techniques for storing and processing data are at the heart of all programs. The term data structure is used to describe the way data is stored, and the term algorithm is used to describe the way data is processed.
VESA Display Device Data Block (DDDB) Standard
Display Device Data Block
This proposal defines the Display Device Data Block (DDDB), for use in a CEA-861-compatible EDID
extension, as originally proposed in the VESA TV Compatibility White Paper (Compatibility of PC and
CE Displays, Aug.1, 2005).
