artifact

Sets Command-Window tab completion for specified functions & arguments types and custom strings

MATLAB通信仿真及应用实例详解 不用多说，很经典的书(simulink)

active and apparent power

matlab code on super resolution

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

Aperture Radar Imaging reference material.

thank you i want to knows more about matlab thanl you advance

用filter函数或conv函数求解系统输出响应的主程序(Solving the system responds with output filter function or the main function conv)

说明：  里面包含多种综合评价方法，如层次分析法、模糊综合评判、基于可拓学的综合评价方法、数据包络分析法、TOPSIS分析法、熵权法以及人工神经网络分析法(It contains many comprehensive evaluation methods, such as analytic hierarchy process, fuzzy comprehensive evaluation, extension-based comprehensive evaluation method, data envelopment analysis method, TOPSIS analysis method, entropy weight method and artificial neural network analysis method.)

这是一个说话人识别的程序，其中有十个说话人，识别率可达到90 。执行时，执行“laststep.m”(This is a speech recognition program, including dozens of speaker recognition rate can reach 90 . Implementation, implementation " laststep.m" )