DDC

详细介绍matlab的FFT变换的实际物理意义，并通过具体事例具体分析，简单明了，方便易懂！绝对对你明白FFT变换的意义有很大好处和实用价值。(Details of the FFT transform matlab actual physical meaning, and through a concrete analysis of concrete examples, simple and clear, easy to understand! Absolutely right you understand the meaning of FFT transform of great benefit and practical value.)

生成正弦波，不需要调用sin函数，利用的查表法(Generate a sine wave, you do not need to call the sin function using table look-up method)

两种噪声下，卡尔曼滤波的100次Monte Carlo仿真验证，画出了每时刻卡尔曼预测均方根误差和估计均方根误差的Monte Carlo变化曲线(with uniform and Gaussian noise respectively,through 100 Monte Carlo simulations,output thecurves of sampled state prediction variances and estimate variances of kalman filter in each element vs.time step.)

Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementation. The algorithm presented in this paper obtains formant frequency estimates voiced segments of continuous speech by using a time-varying adaptive filterbank to track individual formant frequencies. The formant tracker incorporates an adaptive voicing detector and a gender detector for formant extraction continuous speech, for both male and female speakers. The algorithm has a low signal delay and provides smooth and accurate estimates for the first four formant frequencies at moderate and high signal-to-noise ratios. Thorough testing of the algorithm has shown that it is robust over a wide range of signal-to-noise ratios for various types of background noises.

Run the file pathfinder_test.m for a demonstration on how to use the functions.

这是提取IMFCC的matlab程序，里面包含一些子函数，可以从我上载的其他资源中找到(The programming of calculating IMFCC using matlab, with some subfunctions which can find in other codes on this web)

设定ARMA模型参数,求所采集到的数据的双谱和特征量（带有测试数据）(Autoagressive Moving Average)

里面是一个自动控制的仿真模型是用matlab的simulink作的(There is a control simulation model is used Matlab Simulink for the)

动态神经网络时间序列预测研究-基于MATLAB的NARX实现(Artificial Neural Networks)

基于协同检测技术的能量检测算法，实现过程中使用了不同的仿真条件(Collaborative detection technique based on energy detection algorithm, the process used to achieve different simulation conditions)