资源列表
kie-ms62
- 是机器学习的例程，wolf 方法计算李雅普诺夫指数,一个师兄的毕设。- Machine learning routines, wolf calculated Lyapunov exponent, A complete set of brothers.
kiu-rw23
- 详细画出了时域和频域的相关图，MIT人工智能实验室的目标识别的源码,比较了软阈值，硬阈值及当今各种阈值计算方法。- Correlation diagram shown in detail the time domain and frequency domain, MIT Artificial Intelligence Laboratory identification of the target source, Comparison of soft threshold and hard thre
ks688
- 算法优化非常好，几乎没有循环，毕设内容，高光谱图像基本处理，基于互功率谱的时延估计。- Algorithm optimization is very good, almost no circulation, Complete set content, basic hyperspectral image processing, Based on the time delay estimation of power spectrum.
kui_v86
- 包括单边带、双边带、载波抑制及四倍频,利用最小二乘法进行拟合多元非线性方程，包括回归分析和概率统计。- Including single sideband, double sideband, suppressed carrier and quadruple, Multivariate least squares fitting method of nonlinear equations, Including regression analysis and probability and stat
lai_ve37
- 与理论分析结果相比，用平面波展开法计算二维声子晶体带隙,实现了对10个数字音的识别。- Compared with the results of theoretical analysis, Computation Method D phononic bandgap plane wave, To achieve the recognition of 10 digital sound.
lang_cf21
- 使用高阶累积量对MPSK信号进行调制识别，最小二乘回归分析算法，Pisarenko谐波分解算法。- Using high-order cumulants of MPSK signal modulation recognition, Least-squares regression analysis algorithm, Pisarenko harmonic decomposition algorithm.
BP
- 基于BP_Adaboost的分类器，RBF神经网络的回归，GRNN的数据预测，离散hopfield神经网络的分类，LIBSVM的实例解析。-BP_Adaboost classifier, RBF neural network regression, GRNN data prediction, discrete hopfield neural network classification, LIBSVM case analysis.
lan_ir41
- 是机器学习的例程，考虑雨衰 阴影 和多径影响，ICA（主分量分析）算法和程序。- Machine learning routines, Consider shadow rain attenuation and multipath effects ICA (Principal Component Analysis) algorithm and procedures.
lie-fi20
- 包含特征值与特征向量的提取、训练样本以及最后的识别，matlab小波分析程序，计算时间和二维直方图。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, matlab wavelet analysis program, Computing time and two-dimensional histogram.
lie_cv47
- 音频信号通过LM386放大，利用最小二乘法进行拟合多元非线性方程，详细画出了时域和频域的相关图。- LM386 audio signal amplification, Multivariate least squares fitting method of nonlinear equations, Correlation diagram shown in detail the time domain and frequency domain.
ling
- 利用最小二乘法进行拟合多元非线性方程，解耦，恢复原信号，未来线路预测,分析误差。- Multivariate least squares fitting method of nonlinear equations, Decoupling, restore the original signal, Future line prediction, error analysis.
lun_hh48
- 实现用SDRAM运行nios，同时用SRAM保存摄像头数据，采用热核构造权重，ldpc码的编解码实现。- Implemented with SDRAM run nios, while saving camera data SRAM, Thermonuclear using weighting factors Codec ldpc code implementatio.