Discrete Logarithms

Y = DCTN(X) returns the discrete cosine transform (DCT) of X.X = IDCTN(Y) returns the inverse discrete cosine transform (IDCT) of Y.Y = DSTN(X) returns the discrete sine transform (DST) of X.X = IDSTN(Y) returns the inverse discrete sine transform (IDST) of Y.X and Y can be N-dimensional.D =...

Compute the discrete Fourier transform at specified frequencies, not using fft.Why one may need this?(1) MATLAB fft function computes the amplitude of signals only (no phase).(2) Once having the recorded time-series data, one often uses fft to do the spectral analysis. However, the frequency set...

The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Processes: backwards induction, value iteration, policy iteration, linear programming algorithms with some variants.The functions were developped with MATLAB (note that one of the functions requires the...


Platforms: Matlab

Designed for a senior-level course in digital or discrete-time controls, this third edition has been updated to include MATLAB based examples for problem solving.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1313.jsp.


Platforms: Matlab

How can we characterize an image, and does the same characterization yield the same result? In this work, we study one possible characterization, distribution metrics. That is, we assume the desired region of interest has a different probability distribution from its corresponding background....


Platforms: Matlab

Matlab implementation of the computer model of atrial fibrillation originally published by Gordon Moe and colleagues in [American Heart Journal 1964; 67(2):200-220.] To run the simulation, just type the function name (afib). It accepts no input or output arguments. Several model parameters can be...


Platforms: Matlab

The Self-Tuning Controllers Simulink Library contains various discrete single input single output (SISO) controllers. All controllers contain an on-line identification of a controlled process using the second or the third order model and thus are also suitable for a control of time varying...


Platforms: Matlab

Introduction----------------This code simulates commodity spot prices using the Clewlow and Strickland one factor daily spot model using a Monte Carlo approach. The derived stochastic differential equations (SDEs) are solved using several finite difference schemes.The paper detailing the...


Platforms: Matlab

This toolbox was written by Fredrik Lingvall and Bogdan Piwakowski.The DREAM Toolbox is an open source MATLAB and Octave toolbox for simulating acoustic fields radiated from common ultrasonic transducer types and arbitrarily complicated ultrasonic transducers arrays.The toolbox includes a set of...


Platforms: Matlab

Software described in and associated with the paper"Numerical algorithms and issues concerning the discrete-time optimal projection equations for systems with white parameters", Proceedings UKACC International Conference on Control '98, 1-4 Sept. 1998, University of Swansea, UK, Vol. 2,...


Platforms: Matlab

[A,B,C,D]=era(h,n,N,Ts,def);This function returns the state-space model (A,B,C,D) in continuous or discrete time. The input parameters are the discrete-time impulse response function (IRF); the order of the system; the number of samples to assembly the Hankel matrix and the sample...


Platforms: Matlab

To find channel capacity one must maximize the mutual information with respect to the discrete set of probabilities of the source symbols 'c' , and for a given transition probability matrix.An efficient algorithm to find channel capacity Cc was derived in 1972 by Blahut and independently...


Platforms: Matlab

This block for Simulink provides a chirp source for stimulating unknown system dynamics. The block has been developed specifically for the purpose of system identification, however it should be of interest to anyone looking for a robust and flexible chirp function. The chirp function is modelled...


Platforms: Matlab

Demonstration of Neoclassic Growth Model in Dynamic Economics, deterministic model, using both discrete optimization and interpolation method. Utility function and production function defined seperately. Generate plot to show the Policy function and Value function generated by optimization...


Platforms: Matlab

A MATLAB toolbox for the design of discrete-time H2- and Hinf-optimal preview controllers within a generalised regulator framework.Latest code can be downloaded via subversion. See:http://code.google.com/p/preview-control-toolbox/The core algorithms were developed during the course of Andrew...


Platforms: Matlab

The Self-Tuning Controllers Simulink Library contains various discrete single input single output (SISO) controllers. All controllers contain an on-line identification of a controlled process using the second or the third order model and thus are also suitable for a control of time varying...


Platforms: Matlab

THIS PROGRAMME ILLUSTRATES THREE INTRODUCTION PART OF CONTROL SYSTEM :-1- MODEL REDUCTION OF A HIGHER ORDER SYSTEM TO FIRST/SECOND ORDER SYSTEM2- CONTINEOUS TIME PID CONTROLLER DESIGN ACORDING TO FIRST/SECOND ORDER SYSTEM CONTINEOUS TIME CONTROLLER INCLUDE DIRECT SYSTHESIS METHOS3- DISCRETE TIME...


Platforms: Matlab

The Frechet distance is a measure of similarity between two curves, P and Q. It is defined as the minimum cord-length sufficient to join a point traveling forward along P and one traveling forward along Q, although the rate of travel for either point may not necessarily be uniform.This algorithm...


Platforms: Matlab

Particle swarm optimization (PSO) is one of the modern heuristic algorithms that can be applied to continuous and discrete optimization problems.The original binary PSO (BPSO) has got some disadvantages that make the algorithm not to converge well.To deal with these disadvantages, a new BPSO...


Platforms: Matlab

This model was build for data that tends to fluctuate between different regimes but can be applied quite generally.The data I used in this example is assumed to come from three regimes: 1-full generation, 2-partial generation, 3-little to no generation. The%model works as follows:1) I split the...


Platforms: Matlab