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MATLAB的迭代静校正代码，原创……………………(MATLAB iterative static correction code, original ... ... ... ... ... ... ... ...)

说明：  Matlab函数逼近程序，包含下面所列多种算法的程序 。 Chebyshev 用切比雪夫多项式逼近已知函数 Legendre 用勒让德多项式逼近已知函数 Pade 用帕德形式的有理分式逼近已知函数 lmz 用列梅兹算法确定函数的最佳一致逼近多项式 ZJPF 求已知函数的最佳平方逼近多项式 FZZ 用傅立叶级数逼近已知的连续周期函数(Matlab function approximation process, including following the procedures set out in a variety of algorithms. Chebyshev Chebyshev polynomial with a known function approximation using Legendre Legendre polynomial approximation of known function with Pade Pade form of rational fraction approximation of known function listed lmz Metz algorithm used to determine the best uniform approximation function ZJPF order polynomial function of the best known square approximation by Fourier series FZZ polynomial approximation of continuous periodic function of known)

Floyd求解最短路径问题其中运行结果直接可求解出路径(Floyd solve the shortest path problem can be solved in which the results from a direct path)

we address the design of economical recursive generalized comb filters (GCFs) by proposing an ef- ficient technique to quantize the multipliers in the z-transfer function employing power-of-2 (PO2) terms. GCFs are efficient anti-aliasing decimation filters with improved selectivity and quantization noise rejection performance around the so-called folding bands with respect to classical comb filters. The proposed quantization technique guarantees perfect pole–zero cancelation in the rational z-transfer function of the GCFs, thus totally avoiding instability problems. Moreover, we propose the use of a simple droop compensator for the sake of recovering the passband droop distorting the useful digital signal in the baseband. A design example is proposed with the aim of showing the application of the proposed technique, and a practical architecture of a sample third-order GCF is discussed.

基于Z-N的PID参数整定，代码简单实用，适合初学者使用(ZN-based PID parameter tuning, the code is simple and practical, suitable for beginners)

16QAM下行链路仿真 调制 解调 误码率(16QAM MODULATION Demodulation)

16QAM源程序,通过噪声信道 用于OFDM通信系统估计(16QAM)

In this section, the PAPR performance of the proposed algorithms is shown. To evaluate the PAPR performance, the CCDF is employed. The specification detail of simulation parameters is given in TABLE I. In Fig. 5 is shown the PAPR with a PTS method (U = 8) and conventional PTS (U = 4) are improved 4.3 dB and 2.6 dB from ordinary MIMO-OFDM signal when CCDF = 10− 4 respectively and Fig. 6 is shown the PAPR with an optimal PTS method in case of 128 subcarriers.

在matlab/simulink中建立无刷直流电机的模型，在模型的基础上采用三闭环控制实现无刷直流电机的位置精确控制(In matlab/simulink establish in brushless dc motor model, based on the model using the three closed-loop control achieve brushless dc motor position accurate control)

Linear Regression-the effect of feature renormalization