Adaptive Leadership Theory

This is a small project aiming to prove a theory that grids can be solved using only the "possible value" method, whereby the numbers are filled in according the condition that that position has only one possible value, in filling this in, possible values matching this number on the same x and y...

Static Huffman Coding and Decoding, and Adaptive Huffman Coding and Decoding for text compression

Platform: Matlab 6.5The project provides a graphical user interface made d-deOC¦d-deOC¦in GUIDE.Consists of Delta Modulation and Adaptive Delta, which are modulation techniques which is one bit quantizer.once the modulation, use the NRZ line code, to conform to the comm channel., and...


Platforms: Matlab

LMS filters in an adaptive filter architecture is a time honored means for identifying an unknown filter. By running the example code provided you can demonstrate one process to identify an unknown FIR filter.


Platforms: Matlab

According to shannon theory it is possible to reconstruct a band limited signal from its Fourier components provided it is sampled sufficiently...just to demonstrate this, posting a small example based on that


Platforms: Matlab

The function is based on the mathematical treatment of rotating rotors in "Principles of Helicopter Aerodynamics" by Dr. J.Gordon LeishmanThe numerical method does this by using Blade Element Momentum Theory (BEMT) to calculate the inflow along the length of the blade, then using that inflow and...


Platforms: Matlab

This is a set of functions written to teach the stream programming base theory. I think that this can be useful to the programmers that don't know what the stream programing is and manage signals or (infinite) sequences of entities.


Platforms: Matlab

ClebschGordan(j1,j2,j,m1,m2,m) is the Clebsch-Gordan coefficient . This is used in the theory of angular momentum in quantum mechanics.


Platforms: Matlab

RLS is one of the great adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of RLS algorithm. The weights of the estimated system is nearly identical with the real one.A reference is used to write the algorithm.


Platforms: Matlab

NLMS is one of the adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of NLMS algorithm. The weights of the estimated system is nearly identical with the real one. Also , adaptive learning rate has been applied.A reference is used to...


Platforms: Matlab

Written for undergraduate and graduate-level courses in control theory, this introductory text provides comprehensive coverage of classical and state-space approaches to control system design.


Platforms: Matlab

This book focuses on the theory, implementation, and applications of subspace identification algorithms for linear time-invariant finite-dimensional dynamical systems.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1458.jsp.


Platforms: Matlab

Unconstrained global optimization using adaptive random search.Based on the algorithm written in C for constrained global optimization in 1989/09/29 and published as:A.R. Secchi and C.A. Perlingeiro, "Busca Aleatoria Adaptativa", in Proc. of XII Congresso Nacional de Matematica Aplicada e...


Platforms: Matlab

Written in Chinese, this book presents the theory of control systems with the aid of MATLAB.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1743.jsp.


Platforms: Matlab

This is a demo program of Image edge% detection using variation-adaptive ant colony optimization, Transactions on CCI V, LNCS 6910, 2011, pp. 27-40.


Platforms: Matlab

This book represents a modern and thorough treatment of classical control theory and application concepts.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1292.jsp.


Platforms: Matlab

Three case studies: random matrix theory for estimation vs. cross-sectional model for attribution; hedging based on full-repricing instead of Black-Scholes deltas; heuristcs for best K attribution/hedging factors out NTo walk through the code and for a thorough description, seeMeucci A., "Factors...


Platforms: Matlab

The program 'test.m' presents a computer adaptive test.It demystifies the way a computer adaptive test is created.For demonstration purpose, GRE(Graduate Record Exam) is taken.


Platforms: Matlab

Using the Double Group Formulation of k.p Theory, one may return full zone bulk band diagrams for SiGe alloys. Second order degenerate perturbation theory returns effective mass Hamiltonians and canonical transformations may return arbitrary oriented growth directions.This all inclusive code will...


Platforms: Matlab

fcnFrostFilter performs noise filtering on an image based on an adaptive filter proposed by Frost.[1] V. S. Frost, et al., "A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise," IEEE Trans. Pattern Anal., Machine Intell., vol. 4, no. 2, pp. 157-166,...


Platforms: Matlab