BOOSTNEW

说明：  Train speed/time moving wheel load

该文件包含了8psk调制信号的产生，以及经过多径瑞利信道后，前后对比的星座图，经过CMA均衡算法后输出信号，能对均衡算法有更深的认识。(This file contains the generated 8psk modulation signal and multipath Rayleigh channel after, before and after the constellation, after CMA equalization algorithm output signal, capable of balancing algorithms have a better understanding.)

彩色图像质量评价程序，用于评价彩色图片的清晰度(Color image quality assessment procedures for resolution of color images)

对单自由度结构在无控与采用TMD和ATMD控制策略下的加速度和位移反应进行了对比，对比结果以图形方式显示。(The single degree of freedom structure s acceleration and displacement reaction are compared between with on control and using TMD and ATMD control strategy,the contrast results are displayed by using graph.)

Matlab有限元 源代码 MatlabFEM(MatlabFEM)

地震资料 数据处理 分频去噪 模块 主要压制随机噪音 异常振幅 野值 大值 方法特点：1 针对性强，主要去除随机噪音；2 随机噪音识别能力强，达到了较高的去噪水平；3 具有自适应性，能根据不同位置的不同特点统计识别噪音；4 振幅保真，对有效信号的保护性好；5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。 应用对比：为了展示本模块的去噪效果，所选取的对比对象是某知名成熟商业软件的分频去噪模块，其去噪效果在当前诸多成熟软件模块中是佼佼者，在地震资料处理界具有很好的口碑。 通过对比，说明本模块：1 针对性强，主要去除随机噪音和异常振幅等。2 随机噪音识别能力强，达到了较高的去噪水平。3 具有自适应性，能根据不同位置的不同特点统计识别噪音。4 振幅保真，对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。(Frequency-dependent noise attenuation seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results . Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation. By contrast, the description of the module : a targeted, mai)

可以简单的绘制国旗，基本的绘制国旗的程序，适用于初学者(Can simply draw the national flag, the flag of the basic procedures for the drawing for beginners)

matlab丛书——GUI精通matlab图形界面编程(pdf BOOK :tutorials for mastering the progarming the GUI gracphic user s interface in matlab)

纹理特征提取的matlab源代码，用灰度共生矩阵做的，最终得到一个8维的纹理特征向量。(Texture feature extraction matlab source code, the GLCM do eventually get an 8-dimensional texture feature vector.)

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.