Time-frequency-analysis-toolbox

用Matlab实现了常见的几种滤波算法：中位值滤波，递推平均滤波，一阶滞后滤波等算法。可以直接运行(Using Matlab to achieve several common filtering algorithms: median filtering, average filtering recursive, first-order lag filtering algorithm. Can run)

形态学滤波器的matlab程序，主要用于信号处理、特征提取。(Morphological filter matlab program, mainly for signal processing, feature extraction.)

关于恒功率LCL控制的控制模型，很好的滤波模型，可以运行。(The constant power control of LCL matlab simulation model)

说明：  一个很好的Matlab工具箱源码，用于SVM的(a good source of Matlab Toolbox for SVM)

matlab 提取 txt点云的边界，(txt point cloud boundary extraction Matlab,)

基于卡尔曼滤波的系统目标追踪仿真,其中包括卡尔曼滤波函数、偏差分析函数、状态仿真功能块函数、以及目标追踪系统的simulink.(Including kalman filter function, deviation analysis functions, state simulation function block, and target tracking system of simulink)

经验模态分解(Empirical Mode Decomposition,EMD)法是黄锷(N. E. Huang)在美国国家宇航局与其他人于1998年创造性地提出的一种新型自适应信号时频处理方法，特别适用于非线性非平稳信号的分析处理。(Empirical Mode Decomposition)

Optimal SVC by PSOGSA

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：  LDPC编码的BP译码算法的matlab程序(Matlab Program of BP Decoding Algorithms for LDPC Coding)