LSS06

语音的端点检测 噪声可以自己加 使用阈值进行检测 能量的阈值跟据经验来进行决定(Speech endpoint detection noise can add to the threshold detection energy threshold according to experience to the decision)

Program to simulate Rayleigh fading using a p-th order autoregressive model

STK软件平台对garada卫星系统的仿真,可见性，覆盖面积和经历时间分析(simulink of satellite system by STK )

坐标转换程序是用来将大地坐标转换为平面坐标的程序。(Coordinate conversion program is used to convert geodetic coordinates plane coordinate the program.)

多种基于内容的视频检索镜头分割算法matlab程序，主要是检测突变，有基于直方图的方法，基于X2直方图的方法，基于像素的方法以及基于边缘轮廓法对比！对于这一领域的研究具有很好的入门作用！也是本人毕业论文所写的！视频文件建议先分离掉声音，仅保留图像系列,文件须为mpg!(A variety of content-based video retrieval lens matlab segmentation procedures, the major mutations are detected, there is histogram-based method, based on the X2 histogram method, pixel-based methods and edge contour method based on the contrast! Research in this area for a good entry role! My thesis is written! Suggest that separation of video files sound out, retaining only the image series, have to file for mpg!)

QAM的demo程序，功能很强大，有系统框图，很好理解。对于整个系统的设计帮助很大(matlab qam demo )

BPSK信号衰落的仿真；计算BPSK平均，分散与矢量数据的标准差(Evaluation program of fading counter based BPSK transmission scheme calculate mean, dispersion and standard deviation for the vector data)

EMD方法最新国外普林斯顿大学论文，有关生物，医疗，故障检测方面(EMD method latest foreign Princeton University thesis, biological, medical, fault detection)

实现了数字信号处理在双音多频拨号系统中的应用，并用MATLAB实现。(Realization of the digital signal processing in a dual tone multi-frequency dialing system, and use MATLAB implementation.)

支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误 差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推 广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过 实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)