time-series-model

Signal models, echo cancelations adaptive filtering

说明：  关于生物膜的MATLAB软件，国外书上的，非常好(MATLAB software on the biofilm, foreign books, very good)

上传的MATLAB代码是music算法在线阵和空间任意阵列下的形式，也可以将两者进行对比。(Upload music algorithm MATLAB code is any line array and space under the form of an array, you can also compare the two.)

Chapter 2. The Solution of Nonlinear Equations f(x) = 0 Algorithm 2.1 Fixed Point Iteration Algorithm 2.2 Bisection Method Algorithm 2.3 False position or Regula Falsi Method Algorithm 2.4 Approximate Location of Roots Algorithm 2.5 Newton-Raphson Iteration Algorithm 2.6 Secant Method Algorithm 2.7 Steffensen s Acceleration Algorithm 2.8 Muller s Method Algorithm 2.9 Nonlinear Seidel Iteration Algorithm 2.10 Newton-Raphson Method in 2-Dimensions

研究了基于信号强度模型的室内定位技术. 通过运用线性回归、补偿式线性回归和多元回归方法，利用 仿真数据建立了信号强度模型.(Indoor positioning technology based on signal strength model by using linear regression, the compensated linear regression and multiple regression method using simulation data signal strength model.)

用matlab实现了16-QAM的调制解调过程，效果良好。(Achieved using 16-QAM matlab modulation and demodulation process to good effect.)

华中科技大学现代控制理论Matlab问题华中科技大学现代控制理论 Matlab问题(Modern Control Theory, Huazhong University of Science and Technology, Huazhong University of Science Matlab problem Matlab problems of modern control theory)

二维正方形平板中的热扩散程序，使用lbm预测板中的等温线(Thermal diffusion procedure in a two-dimensional square plate using the isotherms in the LBM prediction plate)

说明：  Matlab遗传算法工具箱及应用》源码，学习遗传算法编程的朋友很有用，内容讲的很仔细(Matlab Genetic Algorithm Toolbox, and Applications &quot source code, learning genetic algorithm programming friend of useful content speak very carefully)

说明：  VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．(VQ pattern recognition algorithms and experimental sound. Abstract: The linear prediction cepstral coefficients (1inear prediction cepstrum coefficient, LPCC) as the voice of the characteristic parameters, vector quantization (vector quantity, VQ) method of pattern matching, pattern recognition of sound in order to achieve authentication and identification methods relevant to this experiment. Validated, this method can distinguish between different speaker, and speaker identification experiments to do to reach a higher recognition rate.)