test

一个基于8发1收的多天线系统的准正交差分调制例程(made a resumption of multi-antenna systems in the orthogonal Differential Modulation routines)

可自由选择贝叶斯正则化算法或者是L-M 优化算法的神经网络matlab代码(The freedom to choose the Bayesian regularization algorithm or LM optimization algorithm neural network matlab code)

雷达系统仿真MATLAB程序，包含回波信号模拟产生、脉压、积累；对初学者认识雷达系统有很大帮助。(MATLAB program of Radar system simulation,including the echo signal production, pulse compression and accumulation It has great help for understanding of radar systems.)

This Function Calculates The Difference of Gaussian for SIFT feature detection input parameter definition 1. Pyramid=image 2. NumOfLevel=levels to be calculated 3. InitSigma=initial variance of Gaussian

关于锁相环的MATLAB的仿真程序，其中有详细的注释，希望它能能对你的能有所帮助(PLL on the MATLAB simulation program, including a detailed Notes hope it can be your right, can be helped)

水声信道仿真程序。用于水下声信道的仿真。(Underwater acoustic channel simulation program.Used in underwater acoustic channel simulation.)

连系统时域分析，求离散卷积和编制差分方程递推法程序( Even the system time-domain analysis, seeking discrete convolution method and procedures for the preparation of recursive difference equation)

利用MATLAB7.0进行仿真《模式识别》中的线性判别分类，案例(MATLAB7.0 use simulation " pattern recognition" in the linear discriminant classification, case)

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)

this is a project to track a particular object in matlab.