Description The MUSIC algorithm, Proposed by Schmidt, first estimates a basis for the noise subspace and then determines the peaks the associated angles provide the DOA estimates.
The MATLAB code for the MUSIC algorithm is sampled by creating an array of steering vectors corresponding to the angles in the vector angles.
This is an implementation of double-array structure for representing trie,
as Proposed by Junichi Aoe [1].
Trie is a kind of digital search tree, an efficient indexing method with
O(1) time complexity for searching. Comparably as efficient as hashing,
trie also provides flexibility on incremental matching and key spelling
manipulation. This makes it ideal for lexical analyzers, as well as spelling
dictionaries.
See the details of the implementation at [2]:
http://linux.thai.net/~thep/datrie/datrie.html
Historically, this was first implemented as C++ classes in a library called
midatrie [2], but later simplified and rewritten from scratch in C.
It was Proposed that perfect invisibility cloaks can be constructed for hiding objects from electromagnetic
illumination (Pendry et al., Science 312, p. 1780). The cylindrical cloaks experimentally
demonstrated (Schurig et al., Science 314, p. 997) and theoretically Proposed (Cai et al., Nat. Photon.
1, p. 224) have however simplified material parameters in order to facilitate easier realization
as well as to avoid infinities in optical constants. Here we show that the cylindrical cloaks with
simplified material parameters inherently allow the zeroth-order cylindrical wave to pass through
the cloak as if the cloak is made of a homogeneous isotropic medium, and thus visible. To all
high-order cylindrical waves, our numerical simulation suggests that the simplified cloak inherits
some properties of the ideal cloak, but finite scatterings exist.
An age group classification system for gray-scale facial images is Proposed in this paper. Four age groups, including babies, young adults, middle-aged adults, and old adults, are used in the classification system.
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was Proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was Proposed by Yoav Freund and Robert Schapire. In this project there two main files
A digital filter structure for wideband filtering
is Proposed. It consists of two allpass filters and a linearphase
FIR filter. One major advantage of this structure is
that the allpass filters are functions of zM which implies
that the maximal sample frequency is M times higher for
this structure than for the corresponding conventional
structures.
The matlab code implements the ensemble of decision tree classifiers Proposed in: "L. Nanni and A. Lumini, Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification, Expert Systems With Applications doi:10.1016/j.eswa.2009.02.072 "
