sweeplot

说明：  风力发电机组并网潮流计算；并网对大电网的影响；前腿迭代(Wind power machine combine net current calculation)

说明：  数据通信中误码检测机制的研究，使用MATLAB对奇偶校验码进行测试(Error Detection Techniques in Data Communications， One-dimensional parity check is simulated by MATLAB)

个人编写的应用于机械行业的arx开发函数，足够用的(Individual applications written in the mechanical industry ARX development function)

本文件详细说明了PID算法Matlab仿真程序和C程序(Matlab simulation program and C program of PID algorithm)

Dogleg trust region, Newton model, dense algorithm

ASK,FSK,PSK仿真误码率对比l。。。。在做毕业设计的时候可以参考下(ASK,FSK,PSK仿真误码率对比l。。。。在做毕业设计的时候可以参考下 ASK, FSK, PSK simulation of bit error rate compared to l.... When doing graduate design can refer to the next )

用MATLAB实现CCSDS_LDPC编码，并生成相应的校验矩阵H。压缩包内包含相应源程序以及CCSDS_LDPC编码原理的说明文档。(Using MATLAB CCSDS_LDPC coding, and generate the corresponding check matrix H. Compressed package that contains the corresponding documentation and CCSDS_LDPC source coding theory.)

MIMO Othogonal Frequency Division Modulation

通过比较两个music算法，得出哪一个实用性比较好(Music by comparing the two algorithms, which reached a relatively good practicality)

说明：  　本文对变步长自适应滤波算法进行了讨论,建立了步长因子μ与误差信号e(n) 之间另一种新的非线性函数关系. 该函数比已有的sigmoid 函数简单,且在误差e(n)接近零处具有缓慢变化的特性,克服了Sigmoid 函数在 自适应稳态阶段步长调整过程中的不足. 由此函数本文得出了另一种新的变步长自适应滤波算法,并且分析了参数α,β的取值原则及对算法收敛性能的影响. 该算法有较好的收敛性能且计算量少. 计算机仿真结果与理论分析相一致,证实了该算法的收敛性能优于已有的算法.(In this paper, variable step adaptive filter algorithm to discuss the establishment of a step factor μ and the error signal e (n) between another new nonlinear function. The function has a sigmoid function than the simple and the error e (n) close to zero Department has a slow change in the characteristics of a Sigmoid function to overcome the steady-state phase in the adaptive step length adjustment during the process. this function, this paper gives another new variable step size adaptive filtering algorithms, and analysis of the parameters α, β the value principles and the convergence performance. The algorithm has better convergence performance easy to calculate. Simulation results and theoretical analysis, confirmed the convergence of the algorithm better performance than existing algorithms.)