random_array

粒子群算法求解机器人路径规划的MATLAB算法(the pathline of robot)

装配生产线任务平衡优化遗传算法通MATLAB源码，下面的源码实现了装配生产线任务平衡优化问题（ALB问题）的遗传算法，算法主要参考下面这篇文献，并对其进行了改进。(Task of assembly line balancing optimal genetic algorithm-pass MATLAB source code, the following source code to achieve the task of assembly line balancing optimization problem (ALB problem) of the genetic algorithm, this algorithm is the main reference the following documents, and its improvements.)

易语言对象操作WINDOWS防火墙源码例程程序创建易语言HNetCfg.FwMgr对象，实现读写防火墙的属性配置。(The easy language the object operation WINDOWS firewall source routine procedures create easy language HNetCfg.FwMgr object to achieve read and write properties firewall configuration.)

信号处理与分析，是基于gui的信号处理与分析，相关函数的应用。(Random signal analysis and Process)

windows版memcache安装及应用(installation and application windows version memcache)

对模拟信号抽样，然后进行离散傅里叶变换，利用自编DFT函数，得到频谱，然后进行频谱的还原。(Sampling the analog signal, then the discrete Fourier transform, DFT self function obtained spectrum and the spectrum reduction.)

optimization of many codes programming in matlab

LTE 下行链路系统代码 含信道估计，编解码以及频偏估计模块(LTE downlink system including channel estimation code)

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)

SPWD - smoothed Pseudo Wigner-Ville Distribuition