Standford-uav-design

Hilbert_OFDM for Power Line communication

基于MATLAB的QPSK相干解调与非相干解调的误码率性能分析。(Based on the MATLAB QPSK coherent demodulation and non-coherent demodulation analysis of the BER performance.)

使用matlab软件建立AR模型，对于预测模型具有很准确、(Matlab software using the AR model for the prediction model is accurate,)

计算随机数的方差，做单一元素一元方差分析。多元素二元方差分析。(Calculate the variance of the random number, do one yuan a single element analysis of variance. Multi Elements in Binary analysis of variance.)

说明：  此程序用提升法实现第二代小波变换,我用的是非整数阶小波变换(the procedure used to upgrade method is the second generation wavelet transform, I use a non-integer wavelet transform)

leach algorithm simulation for matlab

This package contains a collection of classes and functions, which allow to comfortably work with medical images and meshes. It provides a intuitive and transparent way of dealing with spacing, origin, image orientation, etc. The package includes functions for input-output with common image formats (mhd, gipl) and mesh formats (vtk, stl), and basic (although not necessarily simple) image processing operations such as image resample, image reslice and image transform.

该源代码用于对传感器接收的时域信号提取幅值峰值的分析，应用于无损检测领域。(The source code for the sensor receives the peak amplitude domain signal extraction analysis, applied to the field of non-destructive testing.)

二值化加上OTUS法阀值法的分形维数计算，在这里奉上(Binarization threshold law with OTUS method of fractal dimension calculation, where the offer)

MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)