step

1)编写DFT子函数（计算并画出幅频特性），以后可调用。 2）N=32，M=32，128，256时，分析频率分辨率、频谱的光滑程度。 3）N=64，256，512时，分析频率分辨率和频谱的光滑程度。 (1) the preparation of DFT Functions (calculated and drawn amplitude-frequency characteristics), the future can be called. 2) N = 32, M = 32,128,256, the analysis of the frequency resolution, the degree of smooth spectrum. 3) N = 64,256,512, the analysis of the frequency spectrum resolution and the degree of smoothness.)

本程序基于matlab 遗传算法的源程序代码，遗传算法是应用于各种优化问题的典型算法，有很高的参考价值。(procedures based on the Matlab genetic algorithm source code, the genetic algorithm is applied in a variety of typical optimization algorithm, a high reference value.)

GPS software receiver

遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。(GA (Genetic Algorithm) is a simulation of Darwinian theory of evolution by natural selection and genetic mechanism of biological evolution of the computing model is a natural evolutionary process by simulating the optimal solution search method, which originally developed by the University of Michigan J.Holland Professor in 1975 first proposed and published an influential monograph " Adaptation in Natural and Artificial Systems" , GA This name was gradually known, J.Holland raised by Professor GA is usually simple genetic algorithm (SGA ).)

biologic algorithem matlab

watermarking 提取算法的实现 (watermarking wavelet)

可以建立二维剖面模型，并计算重力数据，对计算值和观测值做比较，。(It calculates the gravuty anomaly associated to the provided geometries, and compares calculated and observed data.)

基于matlab平台的GPS仿真.pdf 是一篇关于GPS仿真的详细硕士毕业论文 对于研究GPS系统有很大帮助(gps receiver based on matlab )

利用matlab计算模拟马鞍面的教程 清晰易懂~(Saddle computer simulation using matlab tutorial lucid ~)

Toward Privacy Preserving and Collusion Resistance in a Location Proof Updating SystemToward Privacy Preserving and Collusion Resistance in a Location Proof Updating SystemToward Privacy Preserving and Collusion Resistance in a Location Proof Updating System