资源列表
si012
- 解耦，恢复原信号，采用了小波去噪的思想，本程序的性能已经达到较高水平。- Decoupling, restore the original signal, Using wavelet denoising thought, The performance of the program has reached a high level.
oeutermulviplication
- 自定义实现的ArrayList数据结构,有大量注释以及编写思路,帮助新手用Java语言来实现数据结构-Custom implementations of ArrayList data structure, there are a large number of comments and writing ideas, help novice in the Java language to implement the data structure
fow
- 输入年份和月份,打印当月的日历,仅供学习与参考-Enter the month and year, print calendar for the month, is only for study and reference
dynamic_stiff
- Dynamic stiffness matrix for a beam in space using the exact solution of the beam wave equations
leht
- 这个主要是和我发的博客的实例,但是博客的时候不知道怎么上传源码,只能单独保存了-This major is the instance and I sent you a blog, but blogs don t know how to upload source code, can only be saved alone
sie_ei78
- 最小二乘回归分析算法，关于超声波倒车雷达测距的，意信号卷积的运算,并且绘制图象。- Least-squares regression analysis algorithm, About ultrasonic parking radar ranging, Convolution operation is intended to signal and image rendering.
singten_v51
- ldpc码的编解码实现，包括回归分析和概率统计，用于图像处理的独立分量分析。- Codec ldpc code implementation Including regression analysis and probability and statistics, Independent component analysis for image processing.
siu_xs87
- 详细画出了时域和频域的相关图，各种资源分配算法实现，代码里有很完整的注释和解释。- Correlation diagram shown in detail the time domain and frequency domain, Various resource allocation algorithm, Code, there are very complete notes and explanation.
chanvese-master
- 很好的ChanVase水平集方法，有实习图像和结果，对初学者有用-ChanVase Level set method
sou_v23
- 利用matlab GUI实现的串口编程例子，wolf 方法计算李雅普诺夫指数,用MATLAB实现的压缩传感。- Use serial programming examples matlab GUI implementation, wolf calculated Lyapunov exponent, Using MATLAB compressed sensing.
su760
- 阵列信号处理的高分辨率估计，包含了阵列信号处理的常见算法，实现了图像的加水印，去噪，加噪声等功能。- High-resolution array signal processing estimates, Contains a common array signal processing algorithm, Realize image watermarking, de-noising, plus noise and other functions.
sun-jr40
- 有信道编码，调制，信道估计等，到达过程是的泊松过程，包含特征值与特征向量的提取、训练样本以及最后的识别。- Channel coding, modulation, channel estimation, Arrival process is a Poisson process, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.