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linear discriminan analysis code by matlab

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)

说明：  Newton法的计算程序，通过它可以计算复杂函数的根(Newton method computer program, through which the roots of complex functions can be calculated )

利用matlab进行动力学仿真之二，学习理论力学的同学可以参考一下(Dynamics simulation carried out using matlab bis, learning theory mechanics students can refer to)

说明：  QCldpc编码的基础论文，包含期刊和会议的论文，还挺好的(QCldpc coding in basic academic，Including journal and conference papers, pretty good)

这是关于如何使用MATLAB的一个PPT，希望对大家有帮助(failed to translate)

高等光学基础仿真matlab源文件，包含近百个基础M文件(Advanced Optics based simulation matlab source file that contains nearly a hundred basis M-files)

matlab语言开发的退火算法，主要用于算法的优化。可以实现寻找运行代价与通讯时间之和的近似最小值的功能，也可用于任务分配问题，本题是求50个任务分配到8台计算机的最优解。源码有详细注释，更便于理解。(matlab language development of the annealing algorithm, mainly used algorithms. Find running costs can be achieved with the communication time and the approximate minimum of the function can also be used for task allocation problem, the problem is the pursuit of the 50 tasks assigned to the optimal solution of 8 computers. Detailed source notes, is more easy to understand.)

基本最小二乘估计递推算法matlab实现及绘图，以及生成M序列(Basic recursive least squares estimation algorithm and M series)

非常好的聚类工具包，用Matlab开发，适合于科研用途等()