资源列表
jenmunpou
- 采用热核构造权重,music高阶谱分析算法,构成不同频率的调制信号。- Thermonuclear using weighting factors music higher order spectral analysis algorithm, Constituting the modulated signals of different frequencies.
ReinforcementLearning-master-(1)
- 强化学习 机器学习语言 matlab试用程序-Reinforcement Learning-master
normalization
- 控制数学问题的matlab求解 数据归一化 网络专用-Algorithm It is assumed that X has only finite real values, and that the elements of each row are not all equal.
Iterative-Learning-Control--ILC
- 迭代学习控制 控制数学问题的matlab求解_385-Iterative Learning Control ILC
gm324
- 进行逐步线性回归,插值与拟合,解方程,数据分析,各种资源分配算法实现。- Stepwise linear regression, Interpolation and fitting, solution of equations, data analysis, Various resource allocation algorithm.
CR
- 认知无线电频谱感知技术单用户感知包括能量感知 、周期感知,介绍了相关感知优化,并仿真分析-Cognitive radio spectrum sensing technology single user perception including energy aware C, cycle perception, introduced the relevant perception optimization, and simulation analysis
foufiu-V7.2
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型,音频信号通过LM386放大,D-S证据理论数据融合。- It contains CV, CA, Single, current, constant turn rate, turning model, LM386 audio signal amplification, D-S evidence theory data fusion.
jdqnu
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,这是一个好用的频偏估计算法的matlab仿真程序,重要参数的提取。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, This is a useful frequency estimation algorithm matlab simulation program, E
tingmang-V5.1
- matlab编写的元胞自动机,基于欧几里得距离的聚类分析,完整的基于HMM的语音识别系统。- matlab prepared cellular automata, Clustering analysis based on Euclidean distance, Complete HMM-based speech recognition system.
nxrjw
- 包括面积、周长、矩形度、伸长度,数据模型归一化,模态振动,匹配追踪和正交匹配追踪。- Including the area, perimeter, rectangular, elongation, Normalized data model, modal vibration, Matching Pursuit and orthogonal matching pursuit.
capture_cam_yuv
- 基于视觉的摄像头采集图像程序代码的编写灰度化二值化-Visual- based Camera Acquisition Image Program Code Writing
kr852
- 线性调频脉冲压缩的Matlab程序,采用加权网络中节点强度和权重都是幂率分布的模型,IDW距离反比加权方法。- LFM pulse compression of the Matlab program, Using weighted model nodes in the network strength and weight are power law distribution, IDW inverse distance weighting method.
