MatlabFAQ

emd算法 详细英文注释 运动信号处理 等方面都行(emd algorithm detailed English notes motion signal processing, etc. are all good)

HIV系统的混沌控制以及整体稳定性分析及仿真(Chaos Control and Global Stabilization of HIV Infection ofCD + 4 T-cells System)

4-PAM调制方式在AWGN下的误码率和误比特率(4- PAM modulation mode under AWGN bit error rate and bit error rate)

this file simulates reciever in cooperative ofdm communication

matlab的有限长序列的DTFT分析 matlab的有限长序列的DTFT分析(Matlab limited long sequence of DTFT analysis)

matlab节点电压法算电路电压，很简单的学习资料(matlab calculating circuit voltage of the node voltage method, a very simple learning materials)

这是一个用matlab编写的计算定位CRLB的程序。(This is a matlab prepared by the positioning calculation CRLB program.)

说明：  归一化随机共振代码，亲测有用，需要的自己拿(Normalized Stochastic Resonance Code)

利用压缩传感技术对1-D信号进行处理，1-D信号压缩传感的实现(Compressed sensing technology using 1-D ,1-D signal processing implementation of compressed sensing signal)

：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.)