sc_lattice_ofdm_papr

DXP sch. lib for INDUCTANCE

该段matlab可实现自由摆系统的演示。(The segment can be realized matlab free pendulum system demonstration.)

its a code for adaptive beamforming

模式识别中朴素贝叶斯分类器,实习数据的良好分类技术(naive bayesian classification)

说明：  MMATLAB求在直方图均衡化方面的应用程序详解示例(MMATLAB demand side in the histogram equalization example of the application Xiangjie)

说明：  结构参数的线性拟合，用于多元参数的线性回归分析，最小二乘法。(multivariate linear fitness)

its an rectifier circuit with PWM PI control technique for high accuracy and better output with very low THD.

调试通过可以使用，可以实现模式识别领域的数据的分类及回归，代码里有很完整的注释和解释，信号处理中的旋转不变子空间法，最大似然（ML）准则和最大后验概率（MAP）准则。( Debugging can be used, You can achieve data classification and regression pattern recognition, Code, there are very complete notes and explanations Signal Processing ESPRIT method, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.)

基于lms算法的X-LMS算法，比较适合实际模型(LMS algorithm based on X-LMS algorithm, more suitable for the actual model)

BACKSAMP Backsampling the subband images of the directional filter bank y = backsamp(y) Input and output are cell vector of dyadic length This function is called at the end of the DFBDEC to obtain subband images with overall sampling as diagonal matrices See also: DFBDEC