EXIT

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 (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 )

LPC(linear predictive coding)线性预测编码及改进型voice excited LPC源代码(LPC (linear predictive coding) linear predictive coding and improved voice excited LPC source code)

modified 180 voltage souce inverter similar to p.s.bimbra circuit

matlab code please help

create a function in neural network

In this paper, we present two novel class-based weighting methods for the Euclidean nearest neighbor algorithm and compare them with global weighting methods considering empirical results on a widely accepted time series classification benchmark dataset. Our methods provide higher accuracy than every global weighting in nearly half of the cases and they have better overall performance. We conclude that class-based weighting has great potential for improving time series classification accuracy and it might be extended to use with other distance functions than the Euclidean distance.

adapt filter:using matlab language

说明：  压缩传感介绍性文章，文章详细介绍了稀疏矩阵的构建方法(an introduction to compressed sensing and the sparse matrix)

说明：  ppt for project development

this code calculate how use this programmation