RLS

改程序是由于降低papr的包括信道的产生，接收机的设计以及图形的打印(PAPR)

mucic和espric算法在估计偏差，成功概率，估计方差图形中的比较。(mucic and espric bias in the estimation algorithm, the probability of success, estimated variance graph comparison.)

其为经典的DOA估计算法，使用MUSIC算法进行波达方向估计，结果正确(Classic DOA estimation algorithm, using the MUSIC algorithm for DOA estimated results correctly)

说明：  对于学习mpc控制有帮助，可以参考学习，对后面的深入了解有帮助(It is helpful for learning MPC control)

说明：  matlab 版本的DTOA 多站时差定位技术计算GDOP(matlab DTOA GDOP Location)

线性预测分析是最有效的语音分析技术之一，在语音编码、语音合成、语音识别和说话 人识别等语音处理领域中得到了广泛的应用。语音线性预测的基本思想是：一个语音信号的 抽样值可以用过去若干个取样值的线性组合来逼近。通过使实际语音抽样值与线性预测抽样 值的均方误差达到最小，可以确定唯一的一组线性预测系数。(Linear predictive analysis is one of the most effective voice analysis technology has been widely applied in the field of speech processing speech coding, speech synthesis, speech recognition and speaker recognition and the like. The basic idea of ​ ​ linear prediction of speech is: a voice signal sample values ​ ​ can be approximated by a linear combination of a plurality of sample values ​ ​ of the past. By making the actual speech sample mean square error of the value of the smallest linear prediction sample values, to determine a unique set of linear prediction coefficients.)

simulink仿真，串联电容器在电力系统中的无功补偿(simulink simulation series capacitor reactive power compensation in power system)

Learning Matlab for student,English version，专业权威。(Learning Matlab for student, English version, professional authority.)

移动式超声波风速风向测量系统.pdf (Portable Ultrasonic Wind Measurement System .pdf)

说明：  关于解微分方程的matlab小程序，适合本科生学习使用。(MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students. This lecture shows how to use MATLAB to simulate physical systems using a range of methods. Projectile motion is analysed using the Symbolic Math Toolbox, then more complicated chaotic systems are simulated using the MATLAB ODE solvers. Some advanced programming techniques such as Object Oriented Programming (OOP) and Graphical User Interface (GUI) programming are briefly covered. The aim of this lecture series is to introduce students to computational methods in MATLAB to solve problems arising in physics that cannot be solved analytically. No prior knowledge of MATLAB is required. Themes of data analysis, visualization, modelling and programming are explored throughout these lectures. )