UWB_TOA_estimation

emd code for calculate emprical mode dicompistion

产生随机信号观测样本，不同信噪比和归一化频率。用Leivison-Durbin迭代算法求解AR模型的系数并估计功率谱。(Generate random signal observation samples, different signal to noise ratio and normalized frequency.Use Leivison- Durbin iterative algorithm of AR model coefficients and estimate the power spectrum.)

DPCM系统的简单sumlink仿真（7个量化等级，信源是正弦波）(DPCM system, a simple sumlink simulation (7 quantization levels, source is a sine wave))

信号调制识别：在SNR=10db，干扰为高斯噪声的条件下进行信号调制类型的自动识别。(signal modulation recognition:Automatic signal modulation on the condition of SNR=10db and Gaussian noise.)

计算方法设计求解线性方程组的追赶法的matlab程序，是自己的计算方法作业，有详细的注解(Method designed for solving linear equations matlab program catch-up method, the calculation of their own work, with detailed comments)

一个身体部位比较模型的新方法网络（BAN）的，可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏，通过基于参数化到每个活动，每个学科和每个环节模型。使用错误，并明确之间权衡复杂性，在一个善良的适应措施相结合，显示有重要的影响时，适用于一系列典型的禁止通道数据。它是有不同的 在模式的选择的影响，以及它相关的复杂性，混合活动的“日常”的数据，设置活动相比，动态数据（例如步行）。平均路径损耗的不足，甚至位数的路径损失的措施，作为唯一的表征还强调“禁止通道。 (A new approach to compare models for body area networks (BAN) that accommodates multiple links and multiple subjects is presented. The absolute measure described allows comparison across a spectrum of possible characterizations ranging from single-parameter for an entire ensemble, through to per-activity, per-subject and per-link based parameterized models. The use of an explicit trade-off between error and complexity, combined in a goodness-of-fit measure, is shown to have important consequences when applied to a range of typical BAN channel data. It is shown that there are different implications in choice of model, and it’s associated complexity, for mixed-activity “everyday” data, when compared with set-activity dynamic data (e.g. walking). The deficiency of mean path loss, or even median path loss measures, as a sole characterization of the BAN channel is also highlighted.)

说明：  快速迭代收缩阈值算法，FISTA用一种更为聪明的办法选择序列{xk}，使得其基于梯度下降思想的迭代过程更加快速地趋近问题函数F(x)的最小值。FISTA的缺点是：Lipschitz常数L(f)不一定可知或者可计算。(Fast iterative contraction threshold algorithm, FISTA uses a more clever method to select the sequence{xk}, making its iterative process based on the gradient descent idea more quickly approach the minimum value of the problem function F(X). The disadvantage of FISTA is that the Lipschitz constant L(f) is not necessarily known or computable.)

利用时域数据计算数组的RMS值，利用时域数据计算冲击功率谱密度的试验包络条件。(An array of time-domain data using the RMS value of the time-domain data using the power spectral density of the impact test conditions envelope.)

原创的的matlab命令，能够处理化工过程中的偏差，是化工过程数据矫正的基础 (The original matlab command, it s able to solve variations in the chemical process, it is the basis of chemical process data correction)

这是关于MATLAB和CSharp混合编程的资料，讲解的很清楚(This is on the MATLAB and Hybrid Programming CSharp information, explain the very clear)