matlabparticle

基于矢量水听器阵列的MUSIC算法，信号为窄带信号，均匀线阵(MUSIC algorithm based on vector hydrophone array, the signal is narrowband signal, uniform linear array)

通过对RSSI测距模型进行分析， 并提出一种针对室内环境的参数修正方案。 通过 自行研发的传感器节点，上进行验证分析，实验表明，采用环境参数修正方案后， 明显提高了测距的精度。(We studied andanalyzed RSSI—based distance estimated model, and provide aparameter calibration method which in specific to indoor environmental applications．Experience on our prototype node)

贝叶斯分类器的设计与实现，非常好的应用程序，能够在其上面实现人脸识别(Bayesian classifier design and implementation of a very good application, face recognition can be achieved in the above)

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)

这是John Wiley出版的<Computational Colour Science using MATLAB.e2ban>教科书书附带的程序代码,自成一体为Matlab下的色度学工具箱. 建议将解压文件放到本地机已经安装Matlab的路径中,在toolbook文件夹下自己创建一个名为colour的文件夹中.比如:For example, this may be c:Program FilesMATLABp65 oolboxcolour 但具体路径取决于Matlab在你机器中的安装路径. 如果你将该colour文件夹加入Matlab环境路径中,该工具箱就与其它工具箱一样使用.-This is John Wiley published(It is published by John Wiley <Computational Colour Science using MATLAB.e2ban> Textbook book accompanying program code, self-contained for the colorimetric under Matlab toolbox. Suggested extracting file on the local machine has been installed in the path of Matlab in toolbook folder create yourself a folder named colour For example: For example, this may be c: Program Files MATLABp65 toolbox colour but the exact path depends on your machine Matlab installation path if you join the colour folder path in the Matlab environment, the tool box to use the same connection with other toolkits.-This is John Wiley published)

matlab环境下的时频分析，有仿真结果，有程序，希望对初学者有用(matlab Frequency-time analysis)

说明：  matlab的模糊函数实现。可以成功实现函数图像显示。测试成功。(matlab implementation of fuzzy function. Image display function can be successful. Tested successfully.)

Using the nearest neighbor algorithm for clustering and classification of random samples and calculate the classification rate, compared to the algorithm including modified versions

对人类poly（A）位点的特征提取函数，共可提取K-mer、eiip、Z-curse、pwm、热力学结构等374项特征(On the characteristics of human poly (A) sites extraction function of extractable K-mer, eiip, Z-curse, pwm, the thermodynamic characteristics of structure 374)

产生一均匀分布的白噪声信产生均匀分布的白噪信号，使均值为0，功率为p号u(n),画出其波形，并检验其分布情况，产生零均值功率0.1且服从高斯分布的白噪声，sinc信号，chirp信号，线性卷积(Generate uniformly distributed one letter of the white noise generated uniformly distributed white noise signal, so that the mean is 0, the power for the p number u (n), draw their waveforms, and test its distribution, resulting in zero average power of 0.1 and subject to Gaussian distribution of white noise, sinc signals, chirp signals, the linear convolution)