LBGK_D2Q9_poiseuille_channel2D.m

MFCC,即倒谱系数，也是语音的一个特征之一，能够充分利用人耳的特性 ％ 具体的求法就是预处理，然后加窗，进行傅立叶变换，再求出功率普 ％ 然后得出其自然对数，最后进行dct变换 ％ 代码是用matlab写的，用到的一个语音工具箱，可以从网络上下载。(MFCC, that is, just a few pedigree, as well as a voice of one, to take full advantage of people's ears% of the specific characteristics of the solution is pretreatment, then increasing the window, Fourier transform, another sought power pu% then come to its natural logarithm, culminating transform% Extra code is written in Matlab. use of a voice box can be downloaded from the Internet.)

the update data figure of nn net in signal processing, and it is the matlab code

关于图像处理中的hough变换以及边界跟踪处理的程序。(Hough transform image processing and the boundary tracking processing procedures.)

录制汉语拼音 a1（阴平）的发音。分别提交你所能录制的基音频率最高和最低的两个 录音文件。文件名为: 学号_a_h.wav（高音文件）和学号_a_l.wav（低音文件）。（用MathLab 编程） 1）分别对这两个文件进行观察分析。找出最高和最低基音频率位置，分别显示此时它们的 局部波形和短时频谱（按照最大值为100 归一化显示）。 要求：在时域波形上标出基音周期，并算出数值（精确到一个采样点）。在频域图上标出 基音频率。注意：标出分析波形的起始位置（精确到采样点位置），说明谱分析时所采用 的窗函数。 2）用倒谱分析法，估计语音产生模型的声道传输函数H(w)的模|H(w)|。在1)的频谱图上叠 加显示H(w), （按照最大值为100 归一化显示）。 3）用线性预测分析方法，估计语音产生模型的声道传输函数H( )的模| H( ) |。并在 1) 的频谱图上叠加显示H( ) 。(no no non )

matlab实例程序百例3 matlab实例(Examples of procedures for 100 cases of matlab examples 3matlab)

说明：  一个很好的粒子滤波源程序。对初学者有一定的帮助。(A good source particle filter. Be helpful for beginners.)

IEEE14节点系统的matpower格式数据文件，解压后即可使用(IEEE14 bus system matpower format data files can be used after decompression)

2x2 alamouti code for mimo channel

通信系统工具箱 4.2 是通信系统仿真必备的工具 很全 分方便(Communications System Toolbox 4.2 is an essential tool for communication system simulation is the whole convenience )

This paper shows how electrical engineering undergraduates can acquire a working knowledge of the finite element method (FEM) within a short period of time using MATLAB. For simplicity, only first-order triangular elements are considered. The scalar wave equation for homogeneous isotropic waveguides is used for introducing the FEM. Simple waveguide problems, including a design problem, are discussed as examples. It is shown how the knowledge acquired can be extended to other electromagnetic problems