mallet-0.3.2.tar

适合初学者学习的教程,还有例子.适合电子与通信专业,以及信息工程专业学习熟悉Matlab的教程(Course suitable for beginners to learn, there are examples. Suitable for electronic and communications professionals, and information engineering study are familiar with Matlab tutorial)

介绍了关于模糊工具箱的应用，详细，直观，有助于了解与应用模糊算法(Information on the application of fuzzy toolbox in detail, intuitive, help understanding and application of fuzzy algorithm)

说明：  burg算法对现代谱进行估计伯格算法（burg algorithm)一种直接由已知的时间信号序列计算功率谱估计值的递推算法。由于是J．P·伯格提出的，故得名伯格算法。(Burg algorithm is a recursive algorithm which can calculate the power spectrum estimation directly from the known time signal sequence. Because it is proposed by J.P. Berg, it is named Berger algorithm.)

利用matlab编程，实现自适应滤波的仿真(adaptive filtering )

说明：  自用遗传算法工具箱，很全，我一直使用着，有问题可与我联系(Genetic Algorithm Toolbox for personal use, it is full, I had been using, there are problems to contact me)

LCMV波束形成，线性约束最小方差，两个信号，一个期望信号，一个干扰信号。(LCMV beamformer, LCMV, two signals, a desired signal, an interference signal.)

之前保留的一本关于matlab的学习资料，对于初学者也许有用，不算太难(Keep a book about learning matlab data before, maybe useful for novices, not too hard)

KALMAN filter for linear time invariant estimation

小波变换（wavelet transform，WT）是一种新的变换分析方法，它继承和发展了短时傅立叶变换局部化的思想，同时又克服了窗口大小不随频率变化等缺点，能够提供一个随频率改变的“时间-频率”窗口，是进行信号时频分析和处理的理想工具。它的主要特点是通过变换能够充分突出问题某些方面的特征，能对时间（空间）频率的局部化分析，通过伸缩平移运算对信号（函数)逐步进行多尺度细化，最终达到高频处时间细分，低频处频率细分，能自动适应时频信号分析的要求，从而可聚焦到信号的任意细节，解决了Fourier变换的困难问题，成为继Fourier变换以来在科学方法上的重大突破。(wavelet transform)

利用分步傅立叶积分法，计算了光纤中色散与SPM。(Step-by-step use of Fourier integral method, the calculation of the fiber dispersion and SPM.)