PDH-Theroy

关于MIMO OFDM不同发射和接收的天线数目下的系统容量的仿真(Firing as for MIMO the OFDM dissimilarity and under the recipient number of aerials of the imitating of system capacity is really)

ECG Diagnose in development Stage

NC-OFDM在六径瑞利衰落信道下的性能分析(NC-OFDM in the six path Rayleigh fading channel performance analysis)

Esfera control gimbal matlab

matlab 与HFSS联合仿真的几个例子。非常好用，，一学就会。(A few of examples of matlab with HFSS simulation. It is very nice, and quick to learn.)

PCA是人脸识别中的一个重要领域，这里有源代码，希望对大家有帮助(PCA is an important field of face recognition, where source code, we want to help)

DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 (DTW (Dynamic Time Warping, dynamic time warping) algorithm based on dynamic programming (DP) ideas, sounds of varying lengths to solve the template matching problem, is speech recognition appeared earlier, more classic kind of algorithm. For isolated word recognition, DTW algorithm and HMM algorithm in the training phase need to provide a large number of voice data, obtained by repeated calculations to model parameters, while the DTW algorithm is almost no additional training calculations. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.)

Advection and Disperison in 1D coupled diffusion into 2D matrix, diffusion happens both in 1D and 2D which interconnected 1D and 2D

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].

画出数据的histtogram频率分布图及其概率密度函数，其中概率分布图的小区间范围以及整个数据区间的范围均可调(Plot the histtogram and probability density function (PDF) of statistic data which the whole range and subrange of the plot can be adjusted.)