stabrnd2

线性调频信号的模糊大函数，轮廓图以及频谱(Linear FM signal fuzzy large-scale functions, contour map and the spectrum)

说明：  在理解RS码编译码原理的基础上使用Matlab或VC进行编程，首先产生一段随机序列，即原始的发送比特流，然后对该信号进行RS编码、BPSK映射、加噪、解映射及RS译码，得到恢复的数据。(Decoding RS codes in understanding the basis of the principle of programming using Matlab or VC, the first generating a random sequence, that is, send the original bit stream, and then the signal RS coding, BPSK mapping, noise, solution maps, and RS decoding , to recover the data.)

基于常规控制策略的极点配置控制算法，不必对消过程的零点(Conventional control strategy based on pole placement control algorithm)

异步电机abc仿真模型，书中代码的改进，可能对您有用(Improvement of induction motor the abc simulation model , the code in the book , you might find useful)

利用双线性变换法，设计一个0.4dB截止频率为10kHz且在30kHz处有最小阻带衰减为50dB的数字巴特沃兹低通滤波器，其抽样率为100kHz。利用教材（4.35）式求解原型模拟滤波器的阶数，并利用Matlab的M文件buttap设计模拟原型滤波器。用M文件bilinear将模拟滤波器传输函数变换成期望的数字传输函数。请用Matlab画出其增益和相位响应，并给出设计的具体步骤。(fuck!!!)

能够实现LT码的BP算法译码，在译码开销为30 左右时译码成功率接近于1(BP decoding algorithm, LT codes can be realized in the decoding overhead decode success rate is close to about 30 1)

Diffusion k-tensor Estimation from Q-ball imaging using discretized principal axes

面阵的幅度相位全控制自适应数字波束形成算法——对角加载 QRD-SMI 算法的研究；两种面阵唯相位(Phase-Only)数字波束形成算法——小相 位扰动约束算法和期望方向增益最大约束算法的研究；面阵的数字多波束形成算法——二维 FFT 多波束的研究，以及 FFT 在可编程逻辑器件中的实现。 (Research of the adaptive digital beamforming algorithm, which control both amplitude and phase of each array element: diagonal loading QRD-SMI algorithm. ② Research of two Phase-Only DBF algorithms: small phase perturbation restriction algorithm and maximum gain of the expected direction restriction algorithm. ③ Research of multiple beams algorithm for planar array: 2D-FFT multiple beams. And the realization of FFT with CPLD. )

说明：  这是一各关于线性判别函数分类的MATLAB程序，希望对大家的学习有所帮助(This is the one on the linear discriminant function classification MATLAB program, and they hope to learn from everyone)

用风电功率历史数据来对未来一段时间功率的数值进行预测，通过Matlab软件编程和Excel处理数据，用神经网络仿真预测法、灰度预测法、时间序列预测法通过历史数据所呈现出来的一些规律对某段时间的风电功率展开预测，预测之后对得到的数据进行误差分析，通过与一些标准的对比来确定预测方法的可靠程度(Using historical data to forecast wind power to the value to the future time power, by Matlab software programming and Excel data processing, neural network simulation and prediction of wind power law method, gray prediction method, time sequence prediction method based on the historical data are presented for a period of time after the start prediction, prediction the data are error analysis, by comparing with the standard to determine the degree of reliability prediction method)