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说明：  一些关于iir滤波器设计的matlab实验代码(Some information about IIR filter design matlab code experiment)

matlab采用半色调技术对图像进行显示：用模板近似表示10个灰度级，每一个灰度级用3*3 的模板来表示，并对如下图所示的256*256的渐变图像进行半色调输出的检验。(matlab using halftoning image display: template approximated 10 gray levels, a gray level of each template used to represent the 3* 3, and the gradation of the image as shown in Figure 256* 256 halftone inspection of the output.)

这是中国数学建模中编程交流上概率算法内容，里面提供了很多概率算法的例子(This is the exchange of mathematical modeling in the programming content on a probability algorithm, which provides many examples of probabilistic algorithms)

Matlab M文件编程实现2FSK通信系统的调制与解调，程序简单清晰，课程设计可用(Matlab M file programming 2FSK communication system modulation and demodulation, the program is simple and clear, curriculum design available)

说明：  在障碍物环境下的基于强化学习的单智能体与多智能体路径规划算法(Single agent and multi-agent path planning algorithm based on reinforcement learning in obstacle environment)

这个matlab代码用来读取PCM文件。PCM文件是真实光流场的存储文件。代码是我自己写的，我已经用到实验里了。(This matlab code is used to read PCM files. Ground truth optical flow is saved in PCM file.The code is written by myself,it has used in my experiment.)

svm的源程序，很简单的程序，易懂，非常实用(svm)

说明：  fft算法，fft与dft算法的比较，并有详细的文档说明。(fft algorithm, fft compared with the dft algorithm and a detailed description of the document.)

这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )

自变小波去噪的过程，让你了解其原理和过程，希望对你有帮助(wavelet tranform for denoising)