kc_h

mfiles useful for finding huffman code

说明：  这个程序对于学习流行学习算法的朋友很有借鉴意义，在matlab上能够运行。(This procedure popular learning algorithm for learning a friend of referential significance, in the matlab able to run.)

一个用来计算图像二维分形维数的matlab程序(A two-dimensional images used to calculate the fractal dimension of the matlab program)

说明：  关于MATLAB的一些相关知识的运用和功能介绍和相关的一些使用说明(Some of the relevant knowledge on the MATLAB application and features a number of presentations and related instructions)

excel和matlab混和编程exlink实现回归与模拟,还有几个插值运算小程序(excel and Matlab programming exlink mixture to achieve reunification with the simulation, Operational several small interpolation procedures)

运用dds改进型算法 cordic算法实现将三角函数旋转任意角度的matlab代码(Using cordic to realize the manipulation of sin or cos function, which is changing their current phase into any given phase.)

数字图像修复算法的评价标准也是从两个方面进行评价的，一个是修 复算法的效率，一个是修复后图像质量。修复算法的效率主要就是看修复 图像所用的时间，可以用时间就行量化。而图像质量很难从量上唯一的进 行评价，目前图像修复质量还没有统一的评价标准，从实际应用出发，修 复后图像质量的好坏大多数是从以下两个方面就行评价，修复后图像给人 主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair. One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair. The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only. At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people. Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)

说明：  个人写的一些matlab神经网络的函数和算法，希望大家喜欢(Some people write matlab neural network functions and algorithms, hope you like)

语音端点检测，有助于除去语音信号中的噪音部分，留下有用的携带信息的部分，有利于提取其中有用的语音特征参数，从而提高识别率。(Endpoint detection, helps remove the noise part of the speech signal, leaving useful information-bearing part, is conducive to extract the speech feature useful to improve the recognition rate.)

simulink based models