fiber-HE11-mode

模糊数学在聚类分析中的作用(matlab代码)(Fuzzy clustering analysis of the role in the (matlab code))

哈夫曼编码解码器，在matlab环境下实现的编码解码，希望对大家有用(Huffman codec in matlab environment to achieve the encoding and decoding, we hope to be useful)

光伏电站中太阳光de 辐照度与光伏输出功率的关系(Relations photovoltaic solar power plant with an output power of irradiance)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)

动态称重代码便于大家重复劳动，请批评指正(WIM Code)

harris的matlab程序，精度不是很高，但是大家可以根据需要进行改写(harris)

本代码为基于matlab的小波功能实现一书中9到19章节中的代码，包括术中各例题的代码。(The code for matlab-based wavelet function of a book of the 9-19 section of the code, including the code of the examples in the surgery.)

matlab 的经典代码，很实用而且简单，希望能帮助到您(matlab classic code, very practical and simple, hope can help to you)

高级语言程序设计 I 课程实验报告.doc 实验题目:建立简单的应用程序 (Advanced Language Program Design I course experiment on the experiment title: building a simple application)

信号与系统试验报告 离散傅立叶变换（DFT）和频谱分析 一、实验内容 1、实验题目 （1）编写DFT、IDFT程序，并验证其正确性（提示：可利用冲激函数进行验证）。 （2）计算信号f(t)=e-at2sin(2∏ft)的离散傅立叶变换（DFT），求其振幅谱，相位谱、振幅最大值对应的频谱（检测主频）以及对发f(t)进行DFT变换的结果实现IDFT变换，并画出图形。 参数选择如下：频率f =30HZ，a=f 2㏑(M),M=2.5 2、通过实验理解信号振幅谱、相位谱的物理意义，掌握DFT、IDFT算法的实现方法。()