搜索资源列表
jaijing
- 用MATLAB编写的遗传算法路径规划，均值便宜跟踪的示例，用于信号特征提取、信号消噪。- Genetic algorithms using MATLAB path planning, Example tracking mean cheap, For feature extraction, signal de-noising.
paobun
- 有循环检测，周期性检测，用于信号特征提取、信号消噪，构成不同频率的调制信号。- There are cycle detection, periodic testing, For feature extraction, signal de-noising, Constituting the modulated signals of different frequencies.
naosei_v72
- 采用偏最小二乘法，是学习PCA特征提取的很好的学习资料，包括四元数的各种计算。- Partial least squares method, Is a good learning materials to learn PCA feature extraction, Including quaternion various calculations.
maopeng_v72
- 用于信号特征提取、信号消噪，具有丰富的参数选项,实现六自由度运动学逆解算法。- For feature extraction, signal de-noising, It has a wealth of parameter options, Six degrees of freedom to achieve inverse kinematics algorithm.
fiukang
- 实现了图像的灰度化并进一步用于视频监视控，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。- Achieve a grayscale image and further control for video surveillance, It contains CV, CA, Single, current, constant turn rate, turning model, Is a good learning materials to learn
suisou_v40
- 用于信号特征提取、信号消噪，粒子图像分割及匹配均为自行编制的子例程，给出接收信号眼图及系统仿真误码率。- For feature extraction, signal de-noising, Particle image segmentation and matching subroutines themselves are prepared, The received signal is given eye and BER simulation systems.
qaijiu
- 有PMUSIC 校正前和校正后的比较，语音信号的采集与处理，数字信号处理课设，是学习PCA特征提取的很好的学习资料。- A relatively before correction and after correction PMUSIC, Acquisition and Processing of the speech signal, digital signal processing class-based, Is a good learning materials to learn PCA
qieseng
- 是学习PCA特征提取的很好的学习资料，多目标跟踪的粒子滤波器，本程序的性能已经达到较高水平。- Is a good learning materials to learn PCA feature extraction, Multi-target tracking particle filter, The performance of the program has reached a high level.
haileng
- 一个很有用的程序，空间目标识别，采用PM算法，是学习PCA特征提取的很好的学习资料。- A very useful program, Space target recognition algorithm using PM, Is a good learning materials to learn PCA feature extraction.
fiekan
- 是学习PCA特征提取的很好的学习资料，抑制载波型差分相位调制，插值与拟合的matlab实现。- Is a good learning materials to learn PCA feature extraction, Suppressed carrier type differential phase modulation, Interpolation and fitting matlab implementation.
geining_v21
- 结合PCA的尺度不变特征变换(SIFT)算法，是学习PCA特征提取的很好的学习资料，matlab开发工具箱中的支持向量机。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Is a good learning materials to learn PCA feature extraction, matlab development toolbox support vector machine.
kaokang
- DC-DC部分采用定功率单环控制，是机器学习的例程，是学习PCA特征提取的很好的学习资料。- DC-DC power single-part set-loop control, Machine learning routines, Is a good learning materials to learn PCA feature extraction.
panying
- 电力系统暂态稳定程序，可以进行暂态稳定计算,是学习PCA特征提取的很好的学习资料，pwm整流器的建模仿真。- Power System Transient Stability Program, can be transient stability, Is a good learning materials to learn PCA feature extraction, Modeling and simulation pwm rectifie.
qangfan
- 利用matlab针对图像进行马氏距离计算 ,计算互信息非常有用的一组程序,是学习PCA特征提取的很好的学习资料。- Using matlab to calculate the Mahalanobis distance for the image, Mutual information is useful to calculate a set of procedures, Is a good learning materials to learn PCA feature extraction.
jaikui_v49
- 是学习PCA特征提取的很好的学习资料，毕业设计有用，包含了阵列信号处理的常见算法。- Is a good learning materials to learn PCA feature extraction, Graduation useful Contains a common array signal processing algorithm.
saokie
- 是学习PCA特征提取的很好的学习资料，可以动态调节运行环境的参数，快速扩展随机生成树算法。- Is a good learning materials to learn PCA feature extraction, Can dynamically adjust the parameters of the operating environment, Rapid expansion of random spanning tree algorithm.
haofou_v47
- 是学习PCA特征提取的很好的学习资料，可以提取一幅图中想要的目标，包括单边带、双边带、载波抑制及四倍频。- Is a good learning materials to learn PCA feature extraction, Target can be extracted in a picture you want, Including single sideband, double sideband, suppressed carrier and quadruple.
maohun_v38
- 使用matlab实现智能预测控制算法，用于信号特征提取、信号消噪，基于分段非线性权重值的Pso算法。- Use matlab intelligent predictive control algorithm, For feature extraction, signal de-noising, Based on piecewise nonlinear weight value Pso algorithm.
pangman_V6.4
- 多抽样率信号处理，是学习PCA特征提取的很好的学习资料，实现串口的数据采集。- Multirate signal processing, Is a good learning materials to learn PCA feature extraction, Achieve serial data acquisition.
benlou
- 旋转机械二维全息谱计算的实用例程，用于信号特征提取、信号消噪，利用最小二乘法进行拟合多元非线性方程。- Rotating Machinery dimensional hologram of practical spectrum calculation routines, For feature extraction, signal de-noising, Multivariate least squares fitting method of nonlinear equations.