primal_svm

基于Field开发环境，超声成像图像。波束宽度的求解以及各种发射和接收模式的成像效果图。(Field-based development environment, ultrasound imaging images. Solution of beam width and a variety of transmit and receive mode imaging map.)

简单实用的基于偶排列的多相滤波吗matlab代码(Simple and practical, based on the even of a polyphase filter matlab code)

转载 - 用基因和蚁群算法求解车辆路径问题(Reprint- using genetic and ant colony algorithm for vehicle routing problem)

Gaussian Processes, Gaussian mixter model

FIR滤波器设计文件，编写为function，便于修改调用，欢迎下载使用(FIR filter design document, prepared for the function, called facilitate change, welcomed downloading)

Please read THIS DOCUMENTE

自相关法提取语信号基频，里面用到了中心削波，供参考(Extraction of the relevant language from the baseband signal, which uses the center clipping, for reference)

多输入多输出（MIMO）雷达 波束优化处理研究 (STUDY ON THE BEAMPATTERN OPTIMIZATION FOR MULTIPLE-INPUT MULTIPLE-OUTPUT RADAR )

说明：  Zero Forcing Equalization for Complex Channel

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )