my-code

一种高效的免疫算法，可以被用来进行故障诊断。经过检测，效果较好。(A highly effient immune algorithm and can be used in the fault diagnosis field)

说明：  详细说明了pi/4 DQPSK 调制、解调，RRC 匹配滤波器设计， BER 蒙特卡洛仿真，rayleigh衰落下的系统仿真。 文档中附有各个模块的Matlab code。(Detailed description of pi/4 DQPSK modulation, demodulation, RRC matched filter design, BER Monte Carlo simulation, rayleigh fading of system simulation. Document attached to each module of the Matlab code.)

本程序是基于LeventCode平台作的。 ---包括以下方法： BivaShrink方法、模型1、模型2、模型3（TrivaShrink方法）、BayesShrink方法、LAWMLShrink方法的DWT实现和DT_CWT实现。(This procedure is based on the LeventCode platform for the. --- Including the following methods: BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink method, LAWMLShrink method of DWT implementation and DT_CWT achieve.)

SONAR_ANAL is a callback for the sonar demo

In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequal costs. This scenario occurs in many real-world applications. For example, in some disease diagnosis, the cost of erroneously diagnosing a patient as healthy is much higher than that of diagnosing a healthy person as a patient. Also, the acquisition of labeled data requires medical diagnosis which is expensive, while the collection of unlabeled data such as basic health information is much cheaper

说明：  空间调制SCMA及MPA检测，对这方面的学习很有帮助(SM SCMA and MPA detection)

说明：  用matlab通过libiio实现对AD9361的控制，主要利用matlab的系统对象功能实现(AD9361 is controlled by MATLAB through libiio. The system object function of MATLAB is used to realize the control.)

说明：  MIMO中空时块码的实现!!!!!!!!!!!!!!!!!!!!!!!!!!!!!(achieve of MIMO Space-time block codes)

基于matlab的医学图像GVF算法分割，主要实现对2D医学图像的分割(image segmentation)

用charal函数实现对加噪降晰图像的反降晰.charal函数实现约束最小二乘法的算法，其中alpha（1/lamda）由Charalambous确定.反降晰的图像相对于降晰加噪图像清晰度有所提升，但是反降晰的图像存在较为明显的寄生波纹。(Deblurring the blurred image with noise by using Charal function. Charal function implements constrained least squares algorithm, where alpha (1/lamda) is determined by Charalambous. Compared to the blurred image, the sharpness of the image deblurred has improved, but obvious parasitic ripples arise.)