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An Introduction to Cyclostationary Noise by Joel Phillips and Ken Kundert

此工具箱是英国设菲尔德（Sheffield）大学编写的MATLAB遗传算法工具箱，是使用的最广泛的遗传工具箱之一。在《MATLAB 遗传算法工具箱及应用》作　者：雷英杰 出版社：西安电子科技大学出版社 这本书中重点介绍了此工具箱。( Sheffield genetic matlab toolbox)

主要利用稳健方法比如迭代算法来对跳频信号在Alpha稳定分布噪声环境下进行参数估计(Main advantage of robust methods such as iterative algorithm for frequency-hopping signals Alpha stable distribution parameter estimation in noisy environments)

基于matlab软件的联络线功率波动风险评估的源代码(Matlab software-based tie-line power fluctuation risk assessment of the source code)

this is the matlab code for pcm "pulse code modulation"

说明：  这是实际加噪后的地震信号，可以直接采用用于实验的分析和处理(This is the actual noise after the seismic signal, can be used directly)

标准的粒子滤波程序,对于初学者很有用，易学易懂。。。(the particle filter)

说明：  蚁群算法解决TSP问题，可以高速运行，附有详细注释(Ant colony algorithm to solve TSP problem, you can run at high speed, with detailed notes)

语音识别的MATLAB代码，包括用于测试的语音，实现了利用HMM(隐含马尔可夫)和DTW(动态规划)两种方法的实现。(ASR use HMM and DTW method include wave files use for test and training.)

　传统的信号理论，是建立在Fourier分析基础上的，而Fourier变换作为一种全局性的变化，其有一定的局限性。在实际应用中人们开始对Fourier变换进行各种改进，小波分析由此产生了。小波分析是一种新兴的数学分支，它是泛函数、Fourier分析、调和分析、数值分析的最完美的结晶；在应用领域，特别是在信号处理、图像处理、语音处理以及众多非线性科学领域，它被认为是继Fourier分析之后的又一有效的时频分析方法。 小波变换与Fourier变换相比，是一个时间和频域的局域变换因而能有效地从信号中提取信息，通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析（Multiscale Analysis），解决了Fourier变换不能解决的许多困难问题。(The traditional signal theory, is based on Fourier analysis based on Fourier transform, and as a kind of global change, it has some limitations. In the actual application of Fourier transform people began to various improved, wavelet analysis produced. Wavelet analysis is a new branch of mathematics, it is functional, Fourier analysis, harmonic analysis, numerical analysis of the crystallization of the most perfect In the fields of application, especially in signal processing, image processing, audio processing as well as many nonlinear scientific fields, it is considered to be the Fourier analysis after another effective time-frequency analysis method. Wavelet transformation and Fourier transform, compared is a time and frequency domain and the local transform can effectively extract information from signal, through the telescopic peace shift etc operation function of the function ? )