signalanalysisZHH

详细介绍了在概率统计学中应用matlab,并且为初学者提供实力(Introduces in detail the application of probability statistics in MATLAB, and for beginners to provide strength )

gabor变换是非平稳信号处理的有效方法之一，在时频平面内可获得最佳划分(gabor transform one of the effective methods of non-stationary signal processing, get the best in the division of the frequency plane)

说明：  使用蛙跳算法来解决一个工厂流程问题的事例(Frog hopping algorithm solves factory process problems)

说明：  基于MATLAB对EMD算法分解的例子，学习希尔伯特-黄变换的可以参考学习(Based on the example of EMD algorithm decomposition in MATLAB, learning Hilbert-Huang transform can be referred to.)

广义预测控制算法（包括在线辨识）的实现和仿真，可直接移植到支持matlab代码的软件中，诸如LABVIEW。(Generalized predictive control algorithm (including online identification) implementation and simulation, can be directly transplanted to support the matlab code of the software, such as LABVIEW.)

用线性外推实现语音修复,得到更好特性的语音效果(realize the bandlimited signal to wideband by linear extrapolation)

这是基于MATLAB环境的fisher分类判别的源代码，适合于统计专业人士参考(This is the fisher-based MATLAB environment, classification and discrimination of the source code, suitable for professional reference statistics)

用斐波那契额法求函数极小值，它是一种双向收缩的方法，它的收缩率是0.618(Fibonacci amount of law and the function minimum, it is a two-way contract, the contraction rate is 0.618)

用MATLAB编写的语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、 TQFYzG函数、短时幅度差、倒谱、复倒谱 yrHVFny系数计等，是我多年调试通过的程序 (MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,TQFYzG function, short-term amplitude difference, cepstrum, cepstral yrHVFny coefficient meter, etc. , is a program debugging through my years of )

说明：  变分模态分解算法是2014年新提出的，广泛应用于信号处理领域。 VMD分解的子程序，给定分解的时域信号，数据保真约束平衡参数、噪声波峰时间步长、VMD分解个数、迭代精度可以得到 分解的子分量、子分量的波谱、各模式的中心频率。(The variational mode decomposition (VMD) algorithm was proposed in 2014, which is widely used in the field of signal processing. Given the time domain signal decomposed by VMD, the data fidelity constraint balance parameter, the time step of noise peak, the number of VMD decomposition and the iteration accuracy, the decomposed sub components, the spectrum of sub components and the center frequency of each mode can be obtained.)