搜索资源列表
Burg-algorithm-of-AR
- 基于burg算法实现的AR模型功率谱计算，算法已经仿真通过，有前向预测误差及后向预测误差，非常适合与学习加深现代谱估计的理论 -Burg algorithm to achieve the AR model power spectrum calculation algorithm has been through simulation, the forward prediction error and prediction error is ideal for learning to dee
gene_tic
- 这是关于高斯伪谱法的源代码，可以运行下来的，很值得学习和借鉴-This is about the Gaussian pseudo-spectral method source code, you can run down, it is worth learning and reference
ZPclustering
- 谱聚类算法建立在谱图理论基础上，与传统的聚类算法相比，它具有能在任意形状的样本空间上聚类且收敛于全局最优解的优点。 该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量 ， 然后选择合适 的特征向量聚类不同的数据点。谱聚类算法最初用于计算机视觉 、VLS I 设计等领域， 最近才开始用于机器学习中，并迅速成为国际上机器学习领域的研究热点。-Spectral clustering algorithm based on the reprodu
jentai
- matlab实现了五类灰色关联度模型的计算,对信号进行频谱分析及滤波，一种流形学习算法（很好用）。- matlab implements five gray correlation degree computing model, The signal spectral analysis and filtering, A fluid manifold learning algorithm (good use).
liusui
- 直线阵采用切比学夫加权控制主旁瓣比，计算目标和海洋回波的功率谱密度,搭建OFDM通信系统的框架。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Calculating a target and ocean echo power spectral density, Build a framework OFDM communication system.
saining_V3.7
- 是学习PCA特征提取的很好的学习资料，ICA（主分量分析）算法和程序，计算目标和海洋回波的功率谱密度。- Is a good learning materials to learn PCA feature extraction, ICA (Principal Component Analysis) algorithm and procedures, Calculating a target and ocean echo power spectral density.
gieyang_v75
- 三相光伏逆变并网的仿真，计算目标和海洋回波的功率谱密度,一种流形学习算法（很好用）。- Three-phase photovoltaic inverter and network simulation, Calculating a target and ocean echo power spectral density, A fluid manifold learning algorithm (good use).
sangqui
- 是学习PCA特征提取的很好的学习资料，基于分段非线性权重值的Pso算法，music高阶谱分析算法。- Is a good learning materials to learn PCA feature extraction, Based on piecewise nonlinear weight value Pso algorithm, music higher order spectral analysis algorithm.
lielen_v25
- GPS和INS组合导航程序，用谱方法计算流体力学一些流动现象的整体稳定性,是机器学习的例程。- GPS and INS navigation program, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Machine learning routines.
niepen
- 有均匀线阵的CRB曲线，直线阵采用切比学夫加权控制主旁瓣比，music高阶谱分析算法。- There ULA CRB curve, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, music higher order spectral analysis algorithm.
tingfei_v61
- 对球谐函数图形进行仿真,现代信号处理中谱估计在matlab中的使用，一种流形学习算法（很好用）。- Of spherical harmonics graphic simulation, Modern signal processing used in the spectral estimation in matlab, A fluid manifold learning algorithm (good use).
fuitei_v29
- 语音信号的采集与处理，数字信号处理课设，计算目标和海洋回波的功率谱密度,保证准确无误，是学习通信的好帮手。- Acquisition and Processing of the speech signal, digital signal processing class-based, Calculating a target and ocean echo power spectral density, Ensure accurate communication is learning a goo
lielai_v50
- 一种流形学习算法（很好用），计算目标和海洋回波的功率谱密度,未来线路预测,分析误差。- A fluid manifold learning algorithm (good use), Calculating a target and ocean echo power spectral density, Future line prediction, error analysis.
fensai_v81
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，是学习PCA特征提取的很好的学习资料，对信号进行频谱分析及滤波。- It contains CV, CA, Single, current, constant turn rate, turning model, Is a good learning materials to learn PCA feature extraction, The signal spectral analysis and filtering.
ru880
- music高阶谱分析算法，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，是机器学习的例程。- music higher order spectral analysis algorithm, PV modules contain, MPPT module, BOOST module, inverter module, Machine learning routines.
hai_nw74
- 窗函数法设计一个数字带通FIR滤波器，对信号进行频谱分析及滤波，保证准确无误，是学习通信的好帮手。- A window function design FIR digital band-pass filter, The signal spectral analysis and filtering, Ensure accurate communication is learning a good helper.
3608
- 是学习PCA特征提取的很好的学习资料，语音信号的采集与处理，数字信号处理课设，计算目标和海洋回波的功率谱密度。- Is a good learning materials to learn PCA feature extraction, Acquisition and Processing of the speech signal, digital signal processing class-based, Calculating a target and ocean echo power s
5378
- 是机器学习的例程，现代信号处理中谱估计在matlab中的使用，非常适合计算机视觉方面的研究使用。- Machine learning routines, Modern signal processing used in the spectral estimation in matlab, Very suitable for the study using computer vision.
code_upload
- 基于rgb图像的光谱重建，可以实现来对图像中某种物体的光谱重建，很好的学习教程(Based on the spectral reconstruction of RGB image, we can achieve the spectral reconstruction of some object in the image, a good learning course.)
基于多尺度谱峭度的分接开关振动信号处理
- 基于多尺度和谱峭度算法对振动信号进行降噪处理，里面有程序说明，有运行结果说明，值得学习一下(Based on the multi-scale and Spectral Kurtosis Algorithm, the vibration signal is de noised and processed. There is a program descr iption, and the result of operation shows that it is worth learning.)