matlab16QAM

VB与Matlab混合编程在步进电机曲线插补运算中的应用,希望对大家有帮助！(Mixed programming in VB and Matlab curve interpolation step motor operation in the application, we want to help!)

该程序能够通过使用Allan方差算法来分析陀螺噪声。(The program can be through the use of Allan variance algorithm to analyze the gyro noise.)

通过matlab中的函数功能，绘制各种图形(Function in matlab function to draw various graphics)

matlab实现beyes的模式识别的过程，是武汉大学遥感学院模式识别的代码(matlab realize beyes pattern recognition process, Wuhan Institute of Remote Sensing pattern recognition code)

文章详细介绍了雷达海杂波模拟即matlab仿真，很不错的一篇文章(That sea clutter simulation matlab simulation)

说明：  基于Simulink的AM信号调制模型，采用实时频谱分析仪能够更加直观的看到信号的在频域的形状(the AM model based on Simulink)

说明：  利用小波分析具有时频局部化特性和熵能对系统状态进行表征的特点，将小波分析和熵结合起来，定义了3种小波熵（小波能谱熵、小波时间熵、小波奇异熵），并给出其算法，揭示了这3种小波熵对系统故障表征的机理，对两种理论信号和基于PSCAD/EMTDC仿真的输电线路故障信号(Based on the characteristics of time-frequency localization of wavelet analysis and entropy energy to represent system state, three kinds of wavelet entropy (wavelet energy spectrum entropy, wavelet time entropy and wavelet singular entropy) are defined by combining wavelet analysis and entropy, and their algorithms are given. The mechanism of these three kinds of wavelet entropy for system fault characterization is revealed. The results show that the three kinds of wavelet entropy can be used to characterize system fault Road fault signal)

说明：  文件中包含掌握与精通Matlab书中的所有程序源代码。(File contains the master and the master book, all of the programs Matlab source code.)

解析PSD，通过搜集找到的c# 解析psd的源码 (analysis psd)

文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem. Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors. The models are used to design first, second etc. order predictors. The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The best prediction scheme obtains an average spectral distortion that is 0.46 dB less than for the reference method. )