polya_fit_ms

说明：  通过利用Weichselberger模型产生瑞利衰落信道(rayleigh)

说明：  压缩感知 正交匹配追踪一些人关心压缩感知与雷达成像，他们把稀疏表示放在最重要的地方，以为在雷达成像中成功实现压缩感知关键是稀疏表示； 事实上并不是如此。我们知道：压缩感知需要建立AX=B,且该方法具有较低的抑制信噪比能力；另外雷达成像的基础是雷达 信号与目标的相互作用，也就是电磁波与介质的相互作用，该相互作用是一个非常复杂的非线性问题，因此研究这个问题与 压缩感知的关系才是解决雷达成像问题的关键点所在。从另外一个角度来看，雷达成像中惯用的方法是匹配滤波，它之所以 能够处理低信噪比的问题，是因为它利用了回波数据的冗余信息。也就是目前雷达成像算法之所以成功的关键是具有足够 多的冗余信息。现在，在雷达成像中使用压缩感知恰好是反其道而行之！ (compressed sensing)

本附件包含在matlab环境下双谱分析源码的m文件，除了高阶谱，是用的比较广泛的一种。主要用于TDOA及弱信号检测等。可以动手下载后在matlab下运行之。和我前次发的高阶谱分析帖子一样，是要手动加入matlab高阶谱工具箱！ (This annex is included in the matlab environment bispectral analysis of source code of m documents, in addition to high-end spectrum, is widely used as a comparison. Mainly for TDOA and weak signal detection. Can begin download matlab running it. And my previous post issued order spectral analysis, is to manually add order spectrum matlab toolbox!)

利用射线追踪的原理实现模型的正演，模拟出地震记录(Ray tracing using the principle of forward implementation model to simulate the seismic records)

模糊自适应PID，用来轨迹跟踪，对于用来设计控制器很有帮助(Fuzzy adaptive PID, for trajectory tracking, is used to design the controller for very helpful)

一维连续功率谱分析 一维序列x(n)的连续功率谱分析，ol(0:m)频率，tl(0:m)周期，sl(0:m)连续功率谱，st95(0:m)红噪音或白噪音谱的95 置信上限，strw(0:m) 红噪音或白噪音的谱密度，其中m=[n/2.]。 (Continuous power spectral analysis of one-dimensional one-dimensional sequence x (n) of continuous power spectrum analysis, ol (0: m) frequency, tl (0: m) cycle, sl (0: m) continuous power spectrum, st95 (0: m ) red noise or white noise spectrum of the 95 confidence limit, strw (0: m) of red noise or white noise spectral density, where m = [n/2.].)

设计一个切比雪夫滤波器，要求通带截止频率 ，通带最大衰减 ，阻带截止频率 ，阻带最小衰减 。要求绘出滤波器的幅频特性曲线。(Design a Chebyshev filter, the passband cutoff frequency required, the maximum passband attenuation, stopband cutoff frequency, stopband minimum attenuation. Requirements of the filter amplitude-frequency characteristic plotted curve.)

使用DSP和MATLAB设计的一个低通FIR滤波器，基本上实现了滤波的效果(use and MATLAB DSP design a FIR low-pass filter, basically realize the filtering effect)

matlab的降维工具箱 从官网上下载的(Dimensionality reduction downloaded the official website matlab toolbox)

说明：  对标准卡尔曼滤波方法中野值对其滤波精度的影响，提出了基于M估计的野值 处理方法。这种方法不仅可以去除单个野值的影响，而且在野值成片出现时还能很好地保持滤波 稳定性。通过仿真验证了该方法的有效性。(Their filtering accuracy on the standard Kalman filtering method outliers, outliers based on M-estimation approach. This method can not only remove the impact of individual outliers, and opposition values ​ ​ into the film appears to keep the filter can be very stability. The effectiveness of the method is verified by simulation.)