mri ct图像配准

《MATLAB揭秘》07年英文原版书籍，有很多例程，很具有参考价值！()

基于直方图的均衡化和规 定化处理的图像增强技术基本原理,给出了相关推导公式和算法 同时,以一个灰度图像为例,用MATLAB 语言实现了直 方图均衡化和规定化增强处理(Based on histogram equalization and processing requirements of the basic principles of image enhancement technology, gives the derivation of formulas and algorithms related the same time, a grayscale image, for example, using MATLAB language to implement the provisions of histogram equalization and enhancement)

代码里有很完整的注释和解释，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，利用自然梯度算法。( Code, there are very complete notes and explanations ofdm system simulation including 16qam modulation fft windowing modules plus cp, Use of natural gradient algorithm.)

说明：  物联网数据处理综合课程设计 matlab神经网络实现等温线绘制。(Integrated Course Design of Data Processing in Internet of Things Matlab neural network realizes isotherm drawing.)

基于MATLAB 的FIR 数字滤波器典型设计(Typical FIR digital filter design based on MATLAB)

极速学习机,可以做模型预测、评价，比BP神经网络更优。(Fast learning machine, you can do the model prediction, evaluation, better than BP neural network.)

此MATLAB程序可以快速地实现人脸检测操作。(This MATLAB code performs face detection.)

这是一个MATLAB的IIR滤波器的程序!(This is a program of IIR fliter!)

说明：  用来进行双边带幅度调制DSB_AM的MATLAB源程序。(Demonstration script for DSB-AM. The message signal is+1 for 0 < t < t0/3,-2 for t0/3 < t < 2t0/3, and zero otherwise.actually means Rx(m-1). )

GSCALE Scales the intensity of the input image. G = GSCALE(F, full8 ) scales the intensities of F to the full 8-bit intensity range [0, 255]. This is the default if there is only one input argument. G = GSCALE(F, full16 ) scales the intensities of F to the full 16-bit intensity range [0, 65535]. G = GSCALE(F, minmax , LOW, HIGH) scales the intensities of F to the range [LOW, HIGH]. These values must be provided, and they must be in the range [0, 1], independently of the class of the input. GSCALE performs any necessary scaling. If the input is of class double, and its values are not in the range [0, 1], then GSCALE scales it to this range before processing. The class of the output is the same as the class of the input. Copyright 2002-2004 R. C. Gonzalez, R. E. Woods, & S. L. Eddins Digital Image Processing Using MATLAB, Prentice-Hall, 2004 $Revision: 1.5 $ $Date: 2003/11/21 14:36:09 $