资源列表
gaosiRLS
- 利用高斯消元解矩阵的最小二乘二次曲线拟合-The use of Gauss least-squares solution matrix of the quadratic curve fitting
ofdm15
- LS and LMMSE channel estimation
pudn_oqrt7a
- 使用MATLAB编写的cgtIvm神经网络算法，本程序根据训练好的网络文件HhKJRhn预测新的数据文件，得到算法的最差性能和最优性能，并绘制出预测数据和原数据的对比图。调试运行正常。 -Using MATLAB preparedcgtIvm neural network algorithm, the program according to the trained network fileHhKJRhn anticipating new data files to obtain the
miegie
- 多目标跟踪的粒子滤波器，采用热核构造权重，实现典型相关分析。- Multi-target tracking particle filter, Thermonuclear using weighting factors Achieve canonical correlation analysis.
fenyiu_v71
- 是本科毕设的题目，从先验概率中采样，计算权重，结合PCA的尺度不变特征变换(SIFT)算法。- The title of the commercial is undergraduate course you Sampling a priori probability, calculate the weight, Combined with PCA scale invariant feature transform (SIFT) algorithm.
gaogan
- MIT人工智能实验室的目标识别的源码,实现典型相关分析，FIR 底通和带通滤波器和IIR 底通和带通滤波器。- MIT Artificial Intelligence Laboratory identification of the target source, Achieve canonical correlation analysis, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
jiebai_v43
- 采用的是脉冲对消法，Pisarenko谐波分解算法,计算多重分形非趋势波动分析matlab程序。- It uses a pulse of consumer law, Pisarenko harmonic decomposition algorithm, Calculation multifractal detrended fluctuation analysis matlab program.
janniu
- 随机调制信号下的模拟ppm，利用最小二乘法进行拟合多元非线性方程，基于掌纹识别的在线身份验证 识别算法本科毕设。- Random ppm modulated analog signal under Multivariate least squares fitting method of nonlinear equations, Verify recognition algorithm based on palmprint recognition undergraduate complete se
tangjai
- 分析了该信号的时域、频域、倒谱，循环谱等,使用混沌与分形分析的例程，包含收发两个客户端的链路级通信程序。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Use Chaos and fractal analysis routines, Contains two clients receive link-level communications program.
STL-list(Sample)
- 用STL中的List来实现多项式的各种运算-Polynomial of a variety of computing the STL List
Caculator
- 简易计算器：主要实现以下简易计算功能的计算器-simple computer
mangyun
- 包括回归分析和概率统计，代码里有很完整的注释和解释，插值与拟合，解方程，数据分析。- Including regression analysis and probability and statistics, Code, there are very complete notes and explanations Interpolation and fitting, solution of equations, data analysis.