ITD

说明：  自适应中值滤波算法，可以用于图像去噪，比传统的中值滤波效果更好，运行时间更短(Adaptive median filter algorithm can be used for image denoising, than the traditional median filter is better, shorter running time)

基于NLMS算法的回声消除，具有双端检测功能(Echo cancellation nlms Double-end detection)

我们的目的是将一个分数拆分成若干个分子是1分母是正整数的分数之和的形式。例如2/3可以拆分成1/2+1/6的形式。这里不考虑顺序，比如1/6+1/2和1/2+1/6相同。 输入p, q, a, n, 其中p/q为分数，对这个分数进行拆分，要求拆分的分数个数不能多于n个，所有分母的乘积不能大于a。求有多少种拆分方法? 输入：最多200组数据。在每行中都有四个数分别表示p, q, a, n，之间以空格隔开，并且满足p,q<=800，a<=12000，n<=7，最后以四个0做为输入的结束。 输入示例: 2 3 120 3 2 3 300 3 0 0 0 0 输出示例: 4 7 (Our aim is to split a fraction into a number of elements is a denominator is a positive integer fraction of the sum of form. For example, 2/3 can be split into 1/2+1/6 form. Not considered here, the order, such as 1/6+1/2 and 1/2+1/6 of the same. Input p, q, a, n, where p/q as a fraction of this split scores require no more than the number of split points n-all the product of the denominator can not be larger than a. How many kinds of demand split method? Input: Up to 200 sets of data. In each line has four numbers indicate the p, q, a, n, separated by a space between, and meet the p, q < = 800, a < = 12000, n < = 7, the end, four 0 as the input end. Input Example: 2,312,032,330,030,000 sample output: 47)

icaam, G. Papandreou and P. Maragos, Adaptive and Constrained Algorithms for Inverse Compositional Active Appearance Model Fitting, Proc. IEEE Int l Conf. on Computer Vision and Pattern Recognition (CVPR-2008), Anchorage, AL, June 2008.

说明：  在matlab中实现主成分分析方法，并使用FERET库的灰度图像进行测试(This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. )

好不容易找到的马岳林的 数字预失真 DPD仿真代码 包括Matlab simulink仿真 和FPGA实现 并附带有仿真程序说明(Mayue Lin finally found the DPD DPD simulation code includes Matlab simulink simulation and FPGA implementation along with a simulation program Description)

relevant dimensionality estimate toolbox(relevant dimensionality estimate)

Blind, Adaptive Channel Shortening by Sum-squared Auto-correlation Minimization (SAM)," IEEE Trans. on Signal Processing, December 2003. The two zip files below should be installed in parallel.

说明：  利用matlab语言实现的RBF神经网络建模例子，对学习RBF建模很有帮助(using Matlab language RBF neural network modeling example, to learn modeling helpful RBF)

homography of color image in matlab.