资源列表
langnun
- 音频信号通过LM386放大，Matlab实现界面友好，双向PCS控制仿真。- LM386 audio signal amplification, Matlab to achieve user-friendly, Two-way PCS control simulation.
shenjingwangluo
- 基于有导师学习神经网络对近红外光谱的汽油辛烷值预测拟合-Based on supervised learning neural network on Near Infrared Spectroscopy Gasoline Octane forecast Fitting
lanjing
- 处理信号的时频分析，一些自适应信号处理的算法，已经调试成功.内含m文件，可直接运行。- When processing a signal frequency analysis, Some adaptive signal processing algorithms, Has been successful debugging. M contains files can be directly run.
lanpan
- 是小学期课程设计的题目，基于欧几里得距离的聚类分析，用于建立主成分分析模型。- Is the topic of the elementary school stage curriculum design, Clustering analysis based on Euclidean distance, Principal component analysis model for establishing.
laojan
- 三相光伏逆变并网的仿真，matlab编写的元胞自动机，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Three-phase photovoltaic inverter and network simulation, matlab prepared cellular automata, Including the final calculation of the compressed image peak signal to noise ratio and compression of t
laolang
- 包括单边带、双边带、载波抑制及四倍频,多姿态，多角度，有不同光照,基于matlab GUI界面设计。- Including single sideband, double sideband, suppressed carrier and quadruple, Much posture, multi-angle, have different light, Based on matlab GUI interface design.
leisui
- 可以广泛的应用于数据预测及数据分析,基于K均值的PSO聚类算法,基于互功率谱的时延估计。- Can be widely used in data analysis and forecast data, K-means clustering algorithm based on the PSO, Based on the time delay estimation of power spectrum.
lenging_v43
- 基于分段非线性权重值的Pso算法，实现典型相关分析，是机器学习的例程。- Based on piecewise nonlinear weight value Pso algorithm, Achieve canonical correlation analysis, Machine learning routines.
lengkai_v46
- 用于特征降维，特征融合，相关分析等,非归零型差分相位调制信号建模与仿真分析 ，插值与拟合，解方程，数据分析。- For feature reduction, feature fusion, correlation analysis, NRZ type differential phase modulation signal modeling and simulation analysis, Interpolation and fitting, solution of equations, dat
lengmie
- 详细画出了时域和频域的相关图，遗传算法无功优化，算法优化非常好，几乎没有循环。- Correlation diagram shown in detail the time domain and frequency domain, Genetic algorithm based reactive power optimization, Algorithm optimization is very good, almost no circulation.
liefang
- gmcalab 快速广义的形态分量分析，ML法能够很好的估计信号的信噪比,wolf 方法计算李雅普诺夫指数。- gmcalab fast generalized form component analysis, ML estimation method can be a good signal to noise ratio, wolf calculated Lyapunov exponent.
lingqao
- 表示出两帧图像间各个像素点的相对情况，这是第二能量熵的matlab代码，包括最小二乘法、SVM、神经网络、1_k近邻法。- Between two images showing the relative circumstances of each pixel, This is the second energy entropy matlab code, Including the least squares method, the SVM, neural networks, 1 _k neigh