IIR_filter

外国下载到的GABOR人脸识别源码,如果大家喜欢我还有很多自己写的和下载到的,我不是搞C++和JAVA的,所以上传的都是MATLAB的.个人专研人脸识别,欢迎大家一起学习(foreign downloaded to the Gabor face recognition source code, If you like I still have a lot of their own written and downloaded to, I do not engage in C and Java. So are uploaded MATLAB. Face Recognition personal interest in the study, all are welcome to learn)

说明：  matlab科学计算的几乎所有数学算法以及仿真。每一个m文件在我学习的时候都验证了其正确性。前面的比较简单，逐步深入。另外对部分算法本人在学习中做了优化，更简洁。(matlab scientific computing almost all mathematical algorithms and simulation. M each file in my learning at all times to verify its correctness. In front of a relatively simple step by step in depth. In addition to some algorithm I have done a study of optimization, a more concise.)

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization

说明：  功能一句话：Design Linear-Phase FIR using Window: rectangular window,Hamming window,Bartlett window。是学习信号处理FIR滤波器设计时很好的代码。(Design Linear-Phase FIR using Window: rectangular window,Hamming window,Bartlett window)

经典谱分析，周期图法以及修正的周期图法分析以及方法比较(Classical spectral analysis, periodogram and the modified periodogram analysis and comparison of)

用matlab编写了20几个常见的技术指标，方便大家开发策略时候，直接调用。 1）编写这些函数不是技术活，完全是体力活 2）之所以编写这些函数，一来是自己研究所需，二来自己编写过程中能够感悟到蕴含在公式中的思想 3）几乎所有函数，我都用数据测试过，并和交易开拓者、同花顺等计算的值进行了比对，最大程度 上保证指标算法的准确性。虽然已近极力避免错误，但是还是可能出现一些这样那样的错误，所以 请批判性使用这些函数 4）如果对这些函数有疑问（比如有些指标可能会有不同的处理方法），请参见函数中的参考文献部分 5）如果您的策略用到了这些函数，请一定研究这些函数的编写过程，避免未来函数、偷价漏价对你造成的干扰。(20 using matlab few common technical indicators, to facilitate the development of strategies when called directly. 1) preparation of these functions are not technology live, is completely manual labor 2 thoughts) reason to write these functions, one is required for their own research, and secondly to be able to comprehend the process of writing their own inherent in the formula 3) Almost all of the functions that I have tested with the data, and the Trail Blazers and trading, such as flush with the calculated values were compared right, the greatest degree of     On indicators to ensure the accuracy of the algorithm. Although almost try to avoid mistakes, but still may be some kind or another error,     Please use these critical functions 4) If you have questions about these functions (for example, some indicators may have different processing methods), see the References section function 5) If your policy to use these functions, be sure to study the process of)

guassian mixture back ground moble matlab code

基于PCA算法（主成分分析法）的人来呢识别系统-Matlab 自己对之前的程序进行了修改，可直接运行(PCA based Face Recognition System)

局部二值模型用于描述图像的局部纹理信息，对光照等具有鲁棒性(Local binary model used to describe the image of the local texture information, such as robust to illumination)

文件中包含word文档报告 设雷达采用匹配滤波完成脉冲压缩，采集频率fs=420MHz，仿真雷达回波，并绘出家Hamming窗前后的脉压波形。（提示：通过正确设定采集波门，减少数据量） 设雷达采用Dechirp方式完成脉冲压缩，其中参考距离位于（0，0），采集频率为10MHz，距离采样点数512点，仿真雷达回波，并绘出加Hamming窗前后的脉压波形（提示：通过正确设定采集波门，减少数据量）。(Word document file contains the report of the completion of matched filter-based radar uses pulse compression, gathering frequency fs = 420MHz, simulation of radar echo, and draw the house after the pulse pressure waveform Hamming window. (Hint: By setting the correct collection wave door, reducing the amount of data), based radar uses pulse compression Dechirp manner, in which reference distance at (0,0), collection frequency of 10MHz, from the sampling points 512 points, simulation, radar echo, and draw the increase of pulse pressure waveform after the Hamming window (hint: set up collection waves through the correct door, reducing the amount of data).)