Spss Linear Regression Output

Input a 3 bit msg vector like [1 0 1] etc. it gives corresponding 6 bit coded output...this output is input to 2nd prog linblkcoderx()...it gives no error...deliberately introduce 1 bit error.. the linblkcoderx will identify error and correcterror and correct it.REFERENCE: Digital Communication... Platforms: Matlab

The second edition of "Linear Signals and Systems" (LSS2) by B. P. Lathi provides a significant MATLAB component, which is presented from a signals and systems perspective. All of the text's MATLAB code is available from this site. Code for the computer examples in chapter xx is named CExx.m.... Platforms: Matlab

The Gaussian Kernel can be changed to any desired kernel. However such a change will not dramatically improve results. This is a variant of ridge regression using the kernel trick (Mercers Theorem). Platforms: Matlab

Although many aspects of a control system can be understood based on linear theory, some nonlinear effects must be accounted for in practically all controllers. Windup is such a phenomena, which is caused by the interaction of integral action and saturations. All actuators have limitations: a... Platforms: Matlab

The Jonker-Volgenant algorithm is much faster than the famous Hungarian algorithm for the Linear Assignment Problem (LAP). This Matlab implementation is modified from the original C++ code made by Roy Jonker, one of the inventors of the algorithm. It is about 10 times faster than the munkres code... Platforms: Matlab

Solves the mixed integer linear problem:min c'*xs.t. A*x Platforms: Matlab

This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).We didn't use any feature of neural network toolbox. Platforms: Matlab

SolverNxN is designed to solve many small linear system in a vectorized way in order to improve time perfomaces. It is in practice a faster alternative to the matlab commands: for k = 1:number_of_systemsx=Ab;end The Matlab looping speed can visibly slow down this process so most of the time is... Platforms: Matlab

NOREDUND - Remove redundant linear inequalities from a set of inequalities; i.e., remove redundant linear constraints defining a feasible region. Note that the feasible region satisfies A*x Platforms: Matlab

Frequency response signal analyzer for linear and non-linear control loops and dynamic systems. Simulink model. Sine sweep based similar to dynamic signal analyzers for physical systems. User specifies: freq limits, freq decrement, averages, phase criteria for moving to next frequency, start... 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

The art of fitting a nonlinear regression model often starts with choosing a model form. This submission is an attempt to teach the reader a simple but general paradigm for their models as a sum of fundamental shapes that are then shifted and scaled to fit the data.I've included a bestiary of... Platforms: Matlab

This is a learning model for matrix-based data. It can be more efficient than standard vector-based models when the training sample is small or the inputs are matrices, since this model has less parameters than standard ones and exploits an inner structure of the inputs. This model can be... Platforms: Matlab

Model Predictive Control based on linear models is widely used in the process Industry.A function is provided to fit a local linear model to a data set so that the model obtained is designed to perform predictions within a prediction window. The model is commensurate with the MPC control cost... Platforms: Matlab

The archive contains sugenotune.m which is used to tune Sugeno-type FIS outputs. The used methods are ldivide, Kalman filter, pseudoinversion, Kaczmarz algorithm, and gradient descent methods. Though the user can supply sugenotune.m with his own methods.Remarks:- FIS with multiple outputs is... Platforms: Matlab

This function will perform a local regression at the given points. Using the data at hand. You will need to input a spanwidth which will tell the function how many datapoints he will use in the local regression at each evaluation.Example... Platforms: Matlab

The model relies on the theory of strength of least square curve fitting and auto regression techniques. Platforms: Matlab

The EJS Linear Charge Gauss's Law model shows a Gaussian surface and allows for the measurement of the charge enclosed and surface area of the surface. Users can change the radius of the linear charge as well as the size of the Gaussian surface. Users can modify this simulation if Ejs is... Platforms: Mac

Cut 1D X is an Automation Component used for obtaining optimal cutting designs of one dimensional pieces which may have angles different of 90 degrees at their extremities. Cut 1D X can be used for cutting linear pieces such as bars, pipes, tubes, steel bars, or any other material used by... Platforms: Windows

Zeta Test is an integrated test management environment that enables you to perform black-box tests, white-box tests, regression tests or change management tests of software applications. Zeta Test helps you to plan, perform, log, monitor and document the tests, and then to evaluate the test... Platforms: Windows