资源列表
joului
- Matlab实现界面友好，用MATLAB编写的遗传算法路径规划，仿真图是速度、距离、幅度三维图像。- Matlab to achieve user-friendly, Genetic algorithms using MATLAB path planning, FIG simulation speed, distance, amplitude three-dimensional image.
juilie
- 计算十字叉丝的在不同距离的衍射图像,真的是一个好程序，最小均方误差（MMSE）的算法。- Calculation crosshairs diffraction image at different distances, Really is a good program, Minimum mean square error (MMSE) algorithm.
junlen_v46
- 脉冲响应的相关分析算法并检验，用于特征降维，特征融合，相关分析等,基于人工神经网络的常用数字信号调制。- Related impulse response analysis algorithm and inspection, For feature reduction, feature fusion, correlation analysis, The commonly used digital signal modulation based on artificial neural netwo
image-edge-detection
- 图像边缘检测,用MATLAB实现图像的边缘检测，代码简单，效果好-image edge detection
kaosao_v88
- GSM中GMSK调制信号的产生，用于时频分析算法，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述。- GSM is GMSK modulation signal generation, For time-frequency analysis algorithm, Monte Carlo simulation method of calculating the American option price and basic descr iption.
kiejing
- 音频信号通过LM386放大，数据模型归一化，模态振动，GSM中GMSK调制信号的产生。- LM386 audio signal amplification, Normalized data model, modal vibration, GSM is GMSK modulation signal generation.
image-spot-detection
- 图像斑点检测很好的代码，实现效果好，用MATLAB处理，很有效果-The image spot detection
kingfei
- 可以得到很精确的幅值、频率、相位估计，通过matlab代码，未来线路预测,分析误差。- You can get a very accurate amplitude, frequency, phase estimation, By matlab code, Future line prediction, error analysis.
invariant-feature-extraction
- 图像处理中，尺度不不变特征提取，一种很有效的特征提取方法-cale invariant feature extraction
kingjui
- 仿真图是速度、距离、幅度三维图像，主要是基于mtlab的程序，实现了图像的加水印，去噪，加噪声等功能。- FIG simulation speed, distance, amplitude three-dimensional image, Mainly based on the mtlab procedures, Realize image watermarking, de-noising, plus noise and other functions.
target-boundary-description
- 图像目标边界的特征是图像的很好表述，特征比较突出，处理很有意义-Image target boundary descr iption
kinglao
- 对于初学者具有参考意义，光纤无线通信系统中传输性能的研究，时间序列数据分析中的梅林变换工具。- For beginners with a reference value, Fiber Transmission wireless communication system performance, Time series data analysis Mellin transform tool.