JILSA20110100001_86895415

一本科学计算的书籍，是有MATLAB的创始人写的(A scientific computing books, is written by the founder of MATLAB)

语音信号的合成方法,共振峰滤波器生成等方法(TTS)

小波变换，实现语音的基音检测，主要用来检测语音基音周期，小波变换的实现(Wavelet transform, implemented voice detection, voice pitch is mainly used test cycle, the realization of wavelet transform)

显示奇怪非混沌吸引子. 获得数据后, 用外部软件: origin等画出.(showed strange non-chaotic attractor. Access to data, the use of external software : origin such as paint.)

国外牛人写的聚类算法，是k-means算法的升级版(Written by foreign cattle clustering algorithm, k-means algorithm is an upgraded version of)

对企业到金融商业机构贷款，金融商业机构需要对企业进行评估(To the financial and commercial institutions of corporate loans, financial and commercial institutions to assess the need for enterprise)

这是一本介绍MATLAB 与用户程序接口的书籍，讲的很详细，需要的人可以下载，会很快提升你的认识(This is an introduction MATLAB interface to the user program books, talk in great detail, people need to be able to download, will soon enhance your understanding )

adaptive equalization for decision feedback equalizer

IRBLEIGS: Finds a few eigenvalues and eigenvectors of a Hermitian matrix. IRBLEIGS will find a few eigenvalues and eigenvectors for either the standard eigenvalue problem A*x = lambda*x or the generalized eigenvalue problem A*x = lambda*M*x, where A is a sparse Hermitian matrix and the matrix M is positive definite.

圆卷积与线卷积在FIR中的实现，通过程序还开深刻理解两者间的差别和各自优劣。 1.圆卷积用在被截出的某段数据中，此时，长度应该定为和输入数据长度一致（一般输入数据大于hn的数），这时圆卷积结果相当于某段被截断出来的数据以非截断的方式经过滤波而得出的结果；线卷积用在各自独立的，离散的数据中，若截断数据也用线性卷积来计算，那么就相当与这部分数据是与源数据是独立的， 得出的结果时域两端会变长，但频谱基本上一样的。差别可以想象。 2.注意圆卷积最开始的输入数据的次序，构造矩阵时要注意。(Circular convolution with the line convolution in the FIR implementation, the program also opened a deep understanding of the difference between the two and their respective pros and cons. A circular convolution with cut out a certain period of data At this point, the length should be set for the same length as the input data (typically input data greater than hn the number), when the circular convolution is equivalent to a certain the results of the truncated data to the non-truncated filtered line convolution with a separate, discrete data, truncated data with a linear convolution calculation, then the equivalent of this part of the data is independent of the source data, the results of both ends of the time domain becomes long, but the spectrum is basically the same. The difference can imagine. Note that the order of the circular convolution of the input data to construct matrix.)