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惯性导航精解算程序，test_error是执行程序(Solver precision inertial navigation procedures, test_error implementation of procedures)

多星座导航系统中利用最小二乘算法进行位置解算的MATLAB傆代码，以GPS/GLONASS系统为例(Multi-constellation navigation system using least square algorithm solver of MATLAB Yuan location code to GPS/GLONASS system as an example)

1）已知2N点实数序列 N=64。用一个64点的复数FFT程序，一次算出 ，并绘出频谱 。 （2）已知某序列 在单位圆上的N=64等分样点的Z变换 。用N点IFFT程序计算 ，绘出图像 。 (1) known 2N-point sequence of real numbers N = 64. With a 64-point complex FFT process, a calculated and mapped the spectrum. (2) known to a certain sequence in the unit circle on the N = 64 sub-samples of the Z transform. N-point IFFT procedures used, the mapped image.)

eof分析的matlab软件包,需要输入的是距平序列，直接调用rest.m文件(a package of matlab codes on EOF analysis，the rest.m file is the main program )

初步学习采样和重建信号。包括源程序和报告书。(Preliminary study of sampling and reconstruction of the signal. Including the source and report.)

。本指南主要考虑的是代码（格式）的正确性、清晰性与通用性。本指南的 目的在于帮助写出更可能正确、易于理解、更具有共享性与更利于维护的代码。(. The main consideration in this Guide is the code (format) the accuracy, clarity and versatility. The purpose of this guide is to help write more likely to correct, easy to understand, to share more and more conducive to maintaining the code.)

超宽带信道、毫米波信道为基础的SV信道模型仿真，对研究超宽带信道和毫米波信道等呈指数衰减信道的传播特性非常有帮助(Ultrawide channel and millimeter wave channel are all based on this SV channel model, it is very helpful for the study of those channels which are belong to exponential decay channels such as UWB and mmWave Channel)

这些是matlab 中在地质中应用的程序，供大家参考参考，不错哦(These are the matlab procedures applied in geology, for your information, oh well)

本文档是本人的自适应控制大作业，作业里分模型参考自适应控制（用smulink仿真）和CARMA模型的最小方差自适应控制，文中有详细的smulink框图和matlab程序，格式美观，分析透彻，图形整齐，对学习自适应控制的朋友有很大的帮助，谨以本人微薄的力量和成果与大家共鸣，(This document is my adaptive control large operations, operating in sub-model reference adaptive control (with smulink simulation) and the CARMA model of minimum variance adaptive control, the text has a detailed diagram smulink and matlab procedures, aesthetic format, analysis and thorough , graphics, neat, in learning adaptive control of a friend has a great help, I would like my meager results of the strength and resonance with the U.S.,)

Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for . d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d). (Generate 100 samples of a zero-mean white noise sequence with variance, by using a uniform random number generator.a Compute the autocorrelation of for. B Compute the periodogram estimate and plot it. C Generate 10 different realizations of, and compute the corresponding sample autocorrelation sequences, and. Compute the average autocorrelation sequence as and the corresponding periodogram for. d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d).)