jiliangjingjixue-matlab

平台惯导初始对准程序仿真 (platform alignment)

MATLAB命令大全_0.rar 集合了各种matlab命令语句.(MATLAB volumes _0.rar order to assemble the various orders Matlab statement.)

第9章共振峰的估算方法259 9.1预加重和端点检测259 9.1.1预加重259 9.1.2端点检测260 9.2倒谱法对共振峰的估算260 9.2.1倒谱法共振峰估算的原理260 9.2.2倒谱法共振峰估算的MATLAB程序261 9.3LPC法对共振峰的估算262 9.3.1LPC法共振峰估算的原理262 9.3.2LPC内插法共振峰的估算263 9.3.3LPC求根法共振峰的估算266 9.4连续语音LPC法共振峰的检测268 9.4.1简单LPC共振峰检测268 9.4.2改进的LPC共振峰检测270 9.5基于HilbertHuang变换(HHT)的共振峰检测274 9.5.1希尔伯特变换275 9.5.2语音信号的另一种模型——AMFM模型278 9.5.3对AMFM模型的分析279 9.5.4语音信号共振峰特征参数提取的HHT方法279 9.5.5基于HilbertHuang变换的共振峰检测步骤和MATLAB程序280(Estimation Chapter 9 259 9.1 formant pre-emphasis and pre-emphasis endpoint detection 259 259 9.1.1 9.1.2 9.2 endpoint detection principle cepstrum estimate 260 to 260 9.2.1 formant formant estimation cepstrum 260 9.2.2 cepstrum estimate estimate estimate formant MATLAB program 261 9.3LPC method formant 262 9.3.1LPC law principle of formant estimation interpolation within 262 9.3.2LPC formants 263 9.3.3LPC Root Law resonance estimate peak 266 9.4 Continuous Speech LPC formant detection method is simple LPC formant 268 9.4.1 268 9.4.2 Improved detection LPC 270 9.5 formant detection based HilbertHuang transform (HHT) 274 9.5.1 formant detection Hill Another model 275 9.5.2 Hilbert transform voice signals- AMFM model 278 9.5.3 Analysis of the AMFM model HHT Method 279 9.5.4 formant speech signal feature extraction based HilbertHuang transform 279 9.5.5 Resonance peak detection step and MATLAB program 280)

博弈论的相关工具程序,是个经济的工具箱，功能很多(Games)

matlab粗糙集算法，主要使用于神经网络和支持向量机等算法的预处理，可以有效地筛选数据(matlab rough set algorithm, mainly used in the pre-processing of the neural network and support vector machine algorithm can effectively filter the data)

基于兴趣点颜色及纹理特征的图像检索算法，通过同类比较，平均检索准确率提高11个百分点。(Based on the interest points and texture features of color image retrieval algorithm, through a similar comparison, the average retrieval accuracy rate of 11 percent improve.)

matlab的pdf文档，主要讲解其中的控件技术，有兴趣的同志们可以参考一下(matlab the pdf documents, mainly on one of the control technology, the comrades who are interested can refer to)

参数假设检验：对差异进行定量的分析，确定其性质，是随机误差还是系统误差. 为给出两者界限，找一检验统计量T，在H0成立下其分布已知.(Parameter hypothesis test: a quantitative analysis of the differences, to determine its nature, is random error or system error. Is given two boundaries, looking for a test statistic T, its distribution under the establishment of the H0 known.)

随机产生m序列 即产生伪随机数 又叫做伪随机序列、伪噪声(PN)码或伪随机码。(M sequence that is randomly generated pseudo-random number generation, also known as pseudo-random sequence, a pseudo-noise (PN) code or pseudo-random code.)

此代码是反映，在不同信道比下的MIMO信道容量。(This code is reflected in the different channel than in the MIMO channel capacity.)