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In recent years large scientific interest has been devoted to joint data decoding and parameter estimation techniques. In this paper, iterative turbo decoding joint to channel frequency and phase estimation is proposed. The phase and frequency estimator is embedded into the structure of the turbo decoder itself, taking into consideration both turbo interleaving and puncturing. Results show that the proposed technique outperforms conventional approaches both in terms of detection capabilities and implementation complexity.

Tennessee eastman 的Matalb仿真程序，比fortran好一点，大家试试看，还不错()

matlab execesses,study

函数实现对InSAR复相位信号的基于局部频率估计的“斜坡自适应滤波” 此滤波方法特别适用于InSAR相位图滤波，能在滤除噪声的同时最大限度地保留有用信息(This matlab function is for InSAR phase filtering,usually called "slope adapt filter".It is based on local frequency estimation.)

时间序列分析，AR模型，用于流数据预测与滤波 输入参数：y为原始数据矩阵，p为AR模型的阶数，la为自回归模型的遗忘系数 输出参数：预测值，置信区间，离群点等(Time series analysis, AR model for prediction and filtering data stream input parameters: y original data matrix, p is the order of the AR model, la self-forgetting coefficient regression model output parameters: predictive value, confidence intervals, outlier points)

simple reduce features used in face recognition using PCA

MATLAB逐步搜索法计算方程的根. 逐步搜索法也称试算法.它是求方程f(x)=0的根的近似值位置的一种常用的方法. 逐 步搜索法依赖于寻找连续函数)f(x)满足f(a)与f(b)异号的区间[a,b]一旦找到区间，无 论区间多大，通过某种方法总会找到一个根。(MATLAB root search method gradually equation )

代码是matlab编写，有例图，可直接运行（注意修改路径）。主要用来检测桥面、路面裂纹，有详细函数功能说明和算法思想，实现了路面规则条纹背景的频率估计，采用频域滤波可有效去除路面图像接近估计频率的噪声，保留目标裂纹，实现了初步的检测功能，但是功能还不完善，可作Demo供大家参考。有兴趣的朋友可以逐步完善、移植，有兴趣的朋友请与我联系。(Matlab code is written, there is case diagram, can be run directly (Note to modify the path). Mainly used to detect bridge, road cracks, a detailed description and algorithms Function thinking to achieve a frequency of road rules striped background estimation, using frequency domain filtering can effectively remove the image close to estimate the frequency of road noise, keep cracking goal to achieve a preliminary detection function, but the function is not perfect, can be used for Demo for your reference. Interested friends can gradually improve, transplant, friends who are interested, please contact me.)

机动目标的跟踪问题一直是人们研究的重点，实现机动目标精确跟踪，首要解决的问题就是使所建立的目标运动模型与实际的目标运动模型匹配。目前常用的有多模型(MM)，交互式多模型(IMM)，切换模型等。多模型方法就是对一组具有不同机动模型分别进行Kalman滤波，最终的参数估计是各滤波器估计值的加权和；在多模型基础上，Shalom提出了交互式多模型方法，这一方法对无序目标的机动检测，显示了更好的鲁棒性和跟踪的稳定性；切换模型则是分别建立机动和非机动运动模型，利用机动检测实现在这两个模型之间的切换。一般来说，交互式多模型的跟踪性能较好。(mobile target tracking problem has been a focus of research and achieve precise maneuvering target tracking, the most pressing issue is to enable the establishment of the target model and the actual movement of the target model matching. At present, more commonly used model (MM), interactive multi-model (IMM), switching model. Multi-model approach is a group of different mobile models were Kalman filtering, The final parameter is the estimated value of the filter is estimated weighted; in the multi-model basis, Shalom made the interactive multi-model approach that the objectives of the motor disorder detection, better show the robustness and stability of the track; switching model is set up motorized and non-motorized sports model, the use of mobile testing to achieve in this model between)

这是一本介绍C++编程的书，有助于读者深入的了解和掌握C++编程。(This is an C++ programming book ，it will help readers in-depth understanding and using of C++ programming.)