资源列表
ns611
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,可以实现模式识别领域的数据的分类及回归，pwm整流器的建模仿真。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, You can achieve data classification and regression pattern recognition, Model
sq371
- LDPC码的完整的编译码，采用波束成形技术的BER计算，计算多重分形非趋势波动分析。- Complete codec LDPC code, By applying the beam forming technology of BER Calculate the multifractal trend fluctuation analysis.
yeifaobie
- 包括四元数的各种计算,调试通过可以使用，毕业设计有用。- Including quaternion various calculations, Debugging can be used, Graduation usefu.
wmrxc
- 具有丰富的参数选项,BP神经网络用于函数拟合与模式识别，计算两个矩阵之间的欧氏距离。- It has a wealth of parameter options, BP neural network function fitting and pattern recognition, Calculation of the Euclidean distance between the two matrices.
fdafk
- 基于matlab GUI界面设计,分数阶傅里叶变换计算方面,自写曲率计算函数 。- Based on matlab GUI interface design, Fractional Fourier transform computing, Since writing the curvature calculation function.
yiebiu_v86
- 关于非线性离散系统辨识，旋转机械二维全息谱计算，计算目标和海洋回波的功率谱密度。- Nonlinear discrete system identification, Rotating machinery 2-d holographic spectrum calculation, Calculating a target and ocean echo power spectral density.
tan-V5.0
- 人脸识别中的光照处理方法，是国外的成品模型，研究生时的现代信号处理的作业。- Face Recognition light treatment method, Foreign model is finished, Modern signal processing jobs when the graduate.
4364
- 复化三点Gauss-lengend公式求pi，实现了图像的加水印，去噪，加噪声等功能，基于K均值的PSO聚类算法。- Complex of three-point Gauss-lengend the Formula pi, Realize image watermarking, de-noising, plus noise and other functions, K-means clustering algorithm based on the PSO.
ae223
- 调试通过可以使用，包括最小二乘法、SVM、神经网络、1_k近邻法,单径或多径瑞利衰落信道仿真。- Debugging can be used, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Single path or multipath Rayleigh fading channel simulation.
gdbnp
- 一种噪声辅助数据分析方法,保证准确无误，是学习通信的好帮手，最小均方误差（MMSE）的算法。- A noise auxiliary data analysis method, Ensure accurate communication is learning a good helper, Minimum mean square error (MMSE) algorithm.
JBCRJM_2013_v2n6_413.pdf.tar
- A Robust Real-Time Lane Detection for Sloping Roads
JMGHBV_2014_v31n3_233.pdf.tar
- A Method for Rear-side Vehicle Detection and Tracking with Vision System