guimai_v53

基于傅立叶变换FFT的大规模海面的实现方法(Realization of Large-scale Sea Surface Based on Fourier Transform FFT)

针对于对一般矩阵的求逆，或对复杂系统的求逆(Aimed at the general matrix inverse or inverse complex systems)

matlab计算码头堆场集装箱的操作，集卡，场桥，岸桥(matlab container)

汪荣江关于计算地震几个很经典的程序，有详细的ppt和源码解释，适合初学者练习使用，有版权保护，学习即可。(Calculate seismology.)

point cloud 点云配准计算，通过选择几组匹配的点云数据对对点云数据进行配准处理(point cloud point cloud registration computing, by selecting a set of match point cloud data point cloud data registration process)

计算机算法设计与分析(第3版)课后答案-王晓东版_打印版,整本书的课后习题答案，包括算法实现题也有。(The also Computer Algorithm Design and Analysis (3rd Edition) afterschool Answer- Wang Xiaodong _ print edition, the book Homework answer, including algorithms title.)

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)

一个短时傅里叶变换的C语言实现，对3万个数据进行加窗、FFT处理(A short time Fourier transform of C language, for 30,000 data windowing, FFT processing)

用nuttall窗双谱线插值实现谐波提取(Nuttall window double spectrum line interpolation harmonic extraction)

用于matlab环境下的支持向量机svm的工具箱，做这方面的朋友很需要哦(Matlab environment for support vector machine SVM Toolbox, make this area really need a friend Oh)