Multi-User-Diversity-vs

对模糊图像进行还原滤波，包括维纳滤波，拉普拉斯滤波等(Reduction of the fuzzy image filtering, including Wiener filtering, Laplace filtering)

susan编写的关于fdtd算法的书中的2D部分的程序(susan book written fdtd 2D program)

自己编写的一个大批量不同类别数据录入程序，并且为防止因为数据量太大导致程序运行缓慢，将其改写成分批小规模数据。方便了大规模数据处理慢带来的各种不变。(I have written a large quantities of different types of data entry procedures, and because the amount of data in order to prevent too much causes the program to run slowly, be rewritten into small batches of data. Facilitate the large-scale data processing slow and the various unchanged.)

精通matlab，经典matlab教材，word版本，有附录(Proficient in matlab, classic matlab materials, word version of the appendix has)

此程序实现了对地震检波器的模态分析，有利于我们更加深入的了解作为地震信号采集前端的检波器的特性。(This program realizes the geophone modal analysis will help us more in-depth understanding of a seismic signal acquisition front-end detector characteristics.)

一级倒立摆的模糊控制，用融合函数的思想，基于最优控制。通过simulink仿真。(An inverted pendulum fuzzy control, with the idea of integration of functions, based on the optimal control. Through the simulink simulation.)

：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.)

实现了正交匹配追踪算法的matlab编程(To achieve the orthogonal matching pursuit algorithm matlab programming)

fastlaplace算法 线性最优化问题 最小l1范数(fastlaplace algorithm linear optimization minimum of l1 norm)

功率谱的MATLAB仿真代码，希望能够帮助大家！(功率谱的MATLAB仿真代码)