3103540_rs_encoder

polar baseband transmission in matlab

nickelcadmium used in battery for inverter simulation

L algorithme de Regularised orthogona matching poursuit qui permet la reconstruction des signaux

说明：  任何一个检测的信号都不可避免地受到干扰源的影响，脑电检测中的干扰源主要分为体内体外两大类。 体外干扰包括检测系统本身（如电极与头皮的接触阻抗的变化）、交流电源和环境中的电磁干扰源。把脑电图机的接地端与地线向量，并保持电极与头皮的良好接触，可以有效地抑制工频干扰。在电磁屏蔽室中进行脑电采集，能有效地避免环境中的电磁干扰。(eeg eog)

matlab函数的基本使用方法介绍，以便更好的学习matlab。(asic use matlab function introduced in order to better learning matlab.)

MATLAB稀疏矩阵和变量教程MATLAB sparse matrix and variable tutorial(MATLAB sparse matrix and variable tutorial MATLAB sparse matrix and variable tutorial)

数字信号处理实验代码及输出图形，已调试过。广东海洋大学版的。(DSP text.GDOU.)

说明：  一个简单的卡尔曼滤波代码，matlab编写，供初学者借鉴(A simple Kalman filter code, matlab prepared for beginners learn)

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

Distibution models sine