AIEM

一维到三维算法，其中包括有各种散射体形状的示例，是用matlab编写的程序(One-dimensional to three-dimensional algorithm, which includes a variety of scattering of the shape of the sample, is a program written in matlab)

实现运用平滑算子进行掩膜，从而实现图像降质；频域增强与分析；高低通滤波器的设计。(Realize smooth operators are mask use, thus realize image drop qualitative The frequency domain enhancement and analysis The design of high-low filter. )

基于空间平滑处理的稳健宽带高分辨方位估计算法(The stability of space-based smoothing algorithm for broadband DOA estimation)

computation of zernike moments

空间谱估计，DOA到达角估计，MUSIC算法仿真以及延伸算法(Spatial spectrum estimation, DOA DOA estimation, MUSIC algorithm simulation and extended algorithm)

使用一组陀螺实测数据为原始数据，通过时变卡尔曼滤波，得到两组输出滤波图(Use a gyroscope data as raw data, through the time-varying Kalman filtering, the final two output filter figures are obtained)

数据挖掘，apriori，关联分析,啤酒，尿布(maning data,apriori)

：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.)

This is a Modal Analysis script.

通信系统仿真--具有瑞利分布的随机序列，pn序列及其他仿真程序(Communication System Simulation- Rayleigh distribution with the random sequence, pn sequence and other simulation program)