3L-IBS

通过对卡尔曼滤波器的介绍，使用matlab编程，实现卡尔曼滤波(Through the introduction of the Kalman filter using matlab programming, Kalman filtering)

本人找到的用来处理matlab数据的一个小程序，希望有用(I find the data used to handle Matlab a small procedures in the hope that useful)

对所采集的数据进行分析，可进行模态分析，阻尼特性的识别等。(Data were collected for analysis, modal analysis, identification damping characteristics.)

模拟2个独立窄带信号分别以20°，60°的方向入射到均匀线阵上信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵元数为10，阵元间距为入射信号波长的1／2，信噪比为20dB，快拍数分别为5，50，200。(Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA between signal uncorrelated with independent noise, the noise is ideal Gaussian white noise, the array element number 10, the array element spacing of the incident 1/2 wavelength of the signal to noise ratio of 20dB, the number of snapshots 5,50,200 respectively.)

【matlab编程代做】matlab希腊人的3D图 可以作为参考使用学习([Do] matlab matlab programming on behalf of the Greeks 3D map can be used as a reference study)

这一个程序实现了一个探月卫星系统相关问题的研究和仿真。(This is a program that implements a lunar exploration satellite systems and simulation research related issues.)

详细给出了64qam系统的 误码率计算的matlab程序 并绘出了其误码率曲线(detailed 64qam given the BER calculation of Matlab procedures and draws its error rate curve)

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)

MATLAB编译，主要是与船舶相关的编译程序，简单方便，易于使用。(MATLAB compilation, mainly related to ship compiler, simple, convenient and easy to use)

运用MATLAB求解的小球在弹簧上的运动，希望对大家有用。(spring and pellet)