time-series

kalman滤波的程序及ppt，很有价值，我们做的大作业，欢迎分享(kalman filtering procedures and ppt, great value, we do great work, please share)

基于物体三维形貌测量的傅里叶变换测量轮廓术及相关精度的计算。(Based on object three-dimensional topography measurement of Fourier transform profilometry measurement and the calculation of the relative accuracy.)

子载波数128位数/ 符号 2符号数/ 载波 1000训练符号数 0循环前缀长度8 调制方式 4-QAM多径信道数3 IFFT Size128 信道最大时延 2(ofdm program 4QAM modulation. Subcarriers median number of 128 /2 Symbol Symbol/carrier cyclic prefix length of the number of training symbols of 1000 0 8 modulation mode 4-QAM multi-path channel number 3 the IFFT Size 128 channel maximum delay)

基于costas环路的载波同步，使收发时钟频率和相位一致，环路包括四个部分乘法器和低通滤波、鉴相器、环路滤波器和数字振荡器组成(Based on the carrier synchronization of Costas loop, the frequency and phase of the transmit and receive clock is the same. The loop consists of four parts, including the multiplier and low-pass filter, phase detector, loop filter and digital oscillator.)

梳妆滤波器的毕业论文和VC实现代码，有很强的参考价值(CIC Filter thesis and VC implementation code, there is a strong reference value)

matlab 智能算法30个案例分析26-30例的代码(intelligent algorithm matlab analysis of 30 cases, 26-30 cases of code)

tracker code-tra an ozalp source code good use project in pls

说明：  用遗传算法计算旅行商问题，MATLAB程序代码，机器可直接运行。(Traveling salesman problem using genetic algorithm, MATLAB code, the machine can be directly run.)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

聚类分析里的k均值（kmeans）算法的matlab实现，是老师即将出的书里，我给写的例子，大家看看吧。 (Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.)