CCDF_OFDMA

using graphics in matlab

此代码产生一个16QAM信号，通过高斯白噪声信道后，对其使用常模盲均衡算法，最后输出星座图和收敛图。(This code generates a 16QAM signal, through the white Gaussian noise channel, the norm for its use of blind equalization algorithm, the final output constellation map and the convergence plan.)

描述MCMC的MS（3）-GARCH模型的参数估计(MCMC method)

一种用于非同步采样下的通信时，通过误差测量算法和多项式插值以达到同步的目地的论文。来源于I(A non-synchronous sampling of communications, through error measurement algorithm and polynomial interpolation in order to achieve synchronization of the thesis purpose. From I)

stft的几个例子，包括对同一信号输出其等高线图、三维频谱图等，对于初学者很有帮助。(stft several examples, including the same right to export its signal contour maps, three-dimensional map of the spectrum. useful for beginners.)

：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.)

数字波束形成方法，去噪算法研究，线性最小化方差方法，旁瓣特性(Digital beamforming methods Denoising Algorithm, linear minimum variance method, sidelobe characteristics)

在MATLAB7.0的环境下绘制nurbs插值曲线， (Environment in MATLAB7.0 draw nurbs interpolation curve,)

一个kalman滤波器的实现例子 matlab语言实现(one example to implement kalman filter using matlab)

说明：  利用低通滤波器进行横条纹滤除，效果可以，最好进行一下后期处理，效果会更好。(Use of horizontal stripes of low pass filter filter, the effect can be desirable to look at post-processing, the effect will be better.)