MATLAB海杂波模型仿真

刚注册，第一次发，学习学习。 利用matlab仿真2fsk(Just registered, the first hair, learning to learn. 2FSK simulation using matlab)

说明：  《MATLAB数值分析与应用(第2版)》重点讲述数值分析的思想和原理并图示其结果，尽可能避免过深的数学理论和过于繁杂的算法细节，有助于读者更有效地利用MATLAB的超强功能，来处理科学计算问题。《MATLAB数值分析与应用(第2版)》可作为各科学和工程专业本科生或研究生“数值分析”课程的教材或参考书，也可作为科技人员和计算机爱好者使用MATLAB的参考工具书。("Matlab numerical analysis and application (2nd Edition)" focuses on the idea and principle of numerical analysis, and illustrates the results, so as to avoid too deep mathematical theory and too complicated algorithm details as far as possible, which helps readers make more effective use of the super function of MATLAB to deal with scientific calculation problems. Matlab numerical analysis and application (2nd Edition) can be used as a teaching material or reference book for undergraduate or graduate students of science and engineering, and also as a reference book for scientists and computer enthusiasts to use MATLAB.)

对无线通信信道中的衰落进行了仿真。考虑到无线通信中，频移及接受台移动速度等因素。 (Wireless communication channel for the decline of the simulation. Taking into account the wireless communications, the frequency shift and acceptance of mobile speed and other factors.)

非线性系统时间序列分析混沌吸引子重新构建的matlab源代码(Nonlinear time series analysis of chaotic attractor reconstructed source code matlab)

通信天线建模与MATLAB仿真分析配套matlab源程序代码(Communication Antenna Modeling and Simulation of complete MATLAB source code matlab)

说明：  本文章详细介绍了 如何用matlab 进行小波分析从而建立音频的数据索引(This article details how to use matlab wavelet analysis carried out so as to establish audio data indexing)

模板法实现图像锐化，《计算机图像处理与识别技术》源代码 (model image sharpen)

matlab的雷达相关程序源码，包含MTIMMTDCFAR，动目标自适应处理 可直接使用。 (Matlab radar program source code contains MTIMMTDCFAR moving target adaptive processing can be used directly.)

实现时间序列预测，相空间重构的方法可以对时间序列做一一对应的映射，效果非常的好(Realize the time series prediction, phase space reconstruction method can do for time series one-to-one mapping,, the effect is very good )

说明：  PSO提取特征，数据为两个板块，标签和数据分成两个矩阵并分别进行了转置(PSO extracts features. The data is divided into two parts. Label and data are divided into two matrices and transposed respectively.)