资源列表
8REMZ
- 用里米兹方法Remez求给定函数的最佳一致逼近多项式，内含测试程序-For a given function with Remez Li Mizi method best uniform approximation polynomial
8PIR2
- 矩形域的最小二乘曲面拟合，用最小二成算法求矩形域上n*m个数据点的拟合曲面-Rectangular domain least squares surface fitting on the N* M data points of the fitting surface.
temp
- c8051f340单片机用10K热敏电阻检测温度，并在终端显示-C8051f340 single-chip 10K thermistor with the detection temperature, and the terminal display
4MUAV
- 用householder变化以及变形qr算法对一般实矩阵进行奇异值分解-Singular value decomposition for general real matrices with Householder and QR algorithm
5HHQR
- 用带原点位移的双重步QR方法计算上H矩阵的全部特征值-All the eigenvalues of the upper H matrix are computed by the dual step QR method
11SQT3
- 对多元线性回归进行因子筛选，最后给出一定显著水平下的回归系数-Multivariate linear regression factor screening, and finally gives a certain level of regression coefficient
shuangxian
- 使用matlab的GUI功能开发双线的参数计算软件，在此软件中输入相应的参数，点击计算，即可得到想要的参数数值。-Using the GUI function of matlab to create two-line parameter calculation software, enter the corresponding parameters, click on the calculation, you can get the desired parameter values.
simth
- Matlab的GUI界面制作的simth圆图参数计算软件，可以画出simth圆图，在对应位置输入相应的参数可在图上表示出，方便利于simth圆图来完成参数计算。-Matlab GUI interface produced by the smith chart calculation software, you can draw simth chart, the corresponding position in the corresponding input parameters can be
code
- leetcode上部分编程题，利用C/C++实现。-Completing the part of the programming questions in leetcode.com with C/C++.
fen_px55
- 利用贝叶斯原理估计混合logit模型的参数，完整的基于HMM的语音识别系统，遗传算法无功优化。- Bayesian parameter estimation principle mixed logit model, Complete HMM-based speech recognition system, Genetic algorithm based reactive power optimization.
fie
- 已调制信号计算其普相关密度，是国外的成品模型，包括四元数的各种计算。- Modulated signals to calculate its density Pu-related, Foreign model is finished, Including quaternion various calculations.
fieqeng_v19
- 包括调制，解调，信噪比计算，内含心电信号数据及运用MATLAB写的源代码，包括最小二乘法、SVM、神经网络、1_k近邻法。- Includes the modulation, demodulation, signal to noise ratio calculation, ECG data and includes source code written in MATLAB, Including the least squares method, the SVM, neural networks