KNN1

test2: 一、 基本最小二乘法一次算法 二、 基本最小二乘法递推算法 三、 最小二乘遗忘因子一次完成算法 四、 最小二乘遗忘因子递推算法 五、 最小二乘限定记忆算法 六、 最小二乘偏差补偿算法 七、 增广最小二乘算法 八、 广义最小二乘算法 test3: 一、 辅助变量自适应滤波算法 二、 辅助变量纯滞后算法 三、 辅助变量Tally原理算法 四、 多级最小二乘算法 五、 各类改进最小二乘算法的特点 test4: 1、 第二类随机性辨识问题的梯度校正 2、 随机牛顿法 test5: 1、 递推的极大似然估计 2、 预报误差参数辨识 test6: 1、 根据Hankel矩阵秩估计模型阶次(弱噪声) 2、 根据Hankel矩阵秩估计模型阶次(强噪声) 3、 利用行列式比估计模型阶次（白噪声） 4、 利用行列式比估计模型阶次（有色噪声） 5、 利用残差的方差估计模型阶次（白噪声） 6、 利用残差的方差估计模型阶次（有色噪声） 7、 AIV定阶法（白噪声） 8、 AIV定阶法（有色噪声） test7: 1、 一阶惯性+纯滞后环节-----两点法 2、 面积法1 3、 levy法 (test2: First, the basic method of least squares algorithm once Second, the basic recursive least squares algorithm Third, once the forgetting factor least squares algorithm Fourth, the forgetting factor recursive least squares algorithm Fifth, the least-squares algorithm limited memory Six , least squares error compensation algorithm Seven , extended least squares algorithm Eight , generalized least squares algorithm test3: An auxiliary variable adaptive filtering algorithm Second, the auxiliary variable time delay algorithm Third, the principle of auxiliary variable algorithm Tally Fourth, multi-stage least squares algorithm Fifth, the least squares algorithm to improve the characteristics of various types of test4: 1, the second class of stochastic gradient identification problem corrected 2 , randomized Newton test5: 1, the recursive maximum likelihood estimation 2, the prediction error parameter identification test6: 1 , according to the Hankel matrix rank est)

Effi cient algorithms for signal processing are critical to very large scale future appli- cations such as video processing and four-dimensional medical imaging. Similarly, effi cient algorithms are important for embedded and power-limited applications since, by reducing the number of computations, power consumption can be reduced con- siderably. This unique textbook presents a broad range of computationally-effi cient algorithms, describes their structure and implementation, and compares their relative strengths. All the necessary background mathematics is presented, and theorems are rigorously proved. The book is suitable for researchers and practitioners in electrical engineering, applied mathematics, and computer science.

基本说明了OFDM在MATLAB的系统仿真过程，详细说明了OFDM信号的产生过程。(Basic description of the OFDM System Simulation in MATLAB process, described in detail the process for selecting the OFDM signal.)

说明：  ar模型预测，通过yule方法得到了ar系数，然后对一组随机数进行了预测。(The ar model predicts, through the yule methods ar coefficient predicted, then a set of random numbers.)

create modulated BPSK signal

区间数计算，岩土沉降预测，matlab编程，变权重计算(Interval calculations, geotechnical settlement prediction, matlab programming, variable weight calculation)

对正交频分复用的仿真，主要针对其简单原理进行仿真(On orthogonal frequency division multiplexing of the simulation, the main principle for its simple simulation)

关于DCT和DWT在MATLAB上面的实现，很有参考价值(DCT and DWT in MATLAB for the implementation of the above, a good reference)

current in buck cover.

MATLAB程序设计数值微分滤波算法设计源码MATLAB programming source filtering algorithm for numerical differentiation(MATLAB programming filtering algorithm for numerical differential source MATLAB programming source filtering algorithm for numerical differentiation)