sift-0.9.8-matlab

Illustration of Gaussian Elimination method using the resistor ladder network

二维正态分布密度函数的数学模型，通过此函数调用实现结果求取(The mathematical model of two dimensional normal distribution density function is obtained by using this function call.)

说明：  掌握几种简单的数值解法，包括Euler方法、R-K方法、线性多步法 (shu zhi fen xi zha chi )

用窗函数法设计一个长度N等于8的线性相位FIR滤波器。其理想的幅频特性为 分别用矩形窗、Hanning窗、Hamming窗、Blackman窗、Kaiser窗(ｂ=8.5)设计该滤波器。 (Window function method used to design a length N equal to 8 the linear phase FIR filter. Its ideal amplitude-frequency characteristics of rectangular windows, respectively, Hanning window, Hamming window, Blackman window, Kaiser window (b = 8.5) the design of the filter.)

这是香农编码的实验，里面是用matlab编写的(This is the Shannon coding experiment, which is written in matlab)

OPTICAL COMMUNICATION OPTICAL COMMUNICATIONS

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)

matlab与有限元算法书的程序，我改编过其中的算法，可以用其中“hang架算例文件”中我编的例子算，都正确，我算过了(Matlab finite element method and the procedures, which I adapted over the algorithm, which can "hang-count cases document" I count series of examples are correct, I counted the)

MATLAB 实现模糊聚类算法，对多位数据进行聚类划分(matlab fuzzyclustering)

用matlab做的qam的基本原理仿真，清晰明了，有相应结果，可作为qam调制的入门教程。(QAM matlab to do with the basic principles of simulation, clarity, have corresponding results can be used as QAM Modulation Tutorial.)