gaosi-keshihua

语音信号端点检测的多种算法，其中包括了时域的短时能量算法，短时过零率算法，以及小波去噪的若干程序！(Endpoint detection of speech signals)

Power Factor Improvement of Induction Motor by Using Capacitors Power Factor Improvement of Induction Motor by Using Capacitors

OFDM的基础代码，种类很多，运行完美，很好实用，欢迎大家下载验证(OFDM-based code, many different types of works perfect, very good and practical, are welcome to download validation)

针对实际工业生产中常见的多输入多输出时滞过程, 构造多变量Smith预估控制结构, 提出基于对象模 型伴随矩阵的解耦器设计方法. 通过对解耦后对象的幅频和相频特性分析, 获得对象的简化一阶数学模型. 根 据Smith预估控制结构闭环特征方程的特点, 利用Butterworth滤波器极点配置的原理, 对解耦后的多变量时滞过程 设计PI控制器. 结合实际过程中常见的不确定性, 分析了控制系统保证鲁棒稳定性的充要条件. 最后以实例验证了 本文所提方法的优越性.(The decoupling Smith control method is presented for multi-input-multi-output system with time-delays which are often encountered in practical engineering. A new method for designing the decoupler based on the adjoint matrix of the multivariable system model with time-delays is proposed. By analyzing the amplitude-frequency and phasefrequency characteristics of the decoupled model, the decoupled model is reduced to a first-order model with time-delay. According to the closed-loop characteristic equation of Smith predictor structure, a PI controller is developed by using the principle of pole assignment for Butterworth filter. Sufficient and necessary conditions for robust stability are derived for adaptive and multiplicative uncertainties commonly occurred in practice. Simulation results show the superiority of the proposed method.)

MATLAB Binary Frequency Shift Keying

用于时间序列的功率谱分析，如潮位时间序列分析周期，并会进行红白噪声的检验。(Power spectrum for time series analysis, time series analysis period waves bit, and will be red, white noise test.)

matlab源代码 主要是进行有限元计算的(matlab source code is mainly carried out finite element calculations)

本资料介绍两种子空间法语音增强(KLT&PKLT)及其matlab仿真代码(This information on the the two subspace law voice enhanced the the (KLT & PKLT) and its matlab simulation code)

根据股票数据，输出股票技术分析图，可以根据需要调整分析周期(According to stock data, the output of stock technical analysis chart can be adjusted according to analysis of the cycle)

Kalman Filtering and theory using Matlab