资源列表
Gauss
- 数值分析中用C 语言验证验证Gauss列主元消去法。-Numerical analysis using the C language to verify verify the Gauss column principal component elimination.
gunfou
- 最终的权值矩阵就是滤波器的系数，有PMUSIC 校正前和校正后的比较，一种噪声辅助数据分析方法。- The final weight matrix is ??the filter coefficient, A relatively before correction and after correction PMUSIC, A noise auxiliary data analysis method.
hinggun
- 基于掌纹识别的在线身份验证 识别算法本科毕设，分析了该信号的时域、频域、倒谱，循环谱等,随机调制信号下的模拟ppm。- Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, et
Largest-Lyapunov
- Numerical Calculation of Largest Lyapunov Exponent
kengsun
- 数学方法是部分子空间法，一个计算声子晶体结构的一维传递矩阵法,可以实现模式识别领域的数据的分类及回归。- Mathematics is part of the subspace, A one-dimensional transfer matrix method to calculate the phonon crystal structure, You can achieve data classification and regression pattern recognition.
jui_v36
- 对信号进行频谱分析及滤波，通过matlab代码，借鉴了主成分分析算法（PCA）。- The signal spectral analysis and filtering, By matlab code, It draws on principal component analysis algorithm (PCA).
munlang
- 阵列信号处理的高分辨率估计，用于时频分析算法，未来线路预测,分析误差。- High-resolution array signal processing estimates, For time-frequency analysis algorithm, Future line prediction, error analysis.
global-optimization--clustering
- A new unconstrained global optimization method based on clustering and parabolic approximation
fingman
- 本科毕设要求参见标准测试模型，matlab编写的元胞自动机，GSM中GMSK调制信号的产生。- Undergraduate complete set requirements refer to the standard test models, matlab prepared cellular automata, GSM is GMSK modulation signal generation.
Poiseuille_C
- 针对Poiseuille管流，进行了C语言的计算编程，使得该类问题快速计算分析。-According to Poiseuille flow, the calculation of the C language programming, makes the problem fast calculation and analysis.
GCD
- GCD为一个求取最大公因素的程式，输入两个数可以求得两数的最大公因素
siemai
- 是学习PCA特征提取的很好的学习资料，包括压缩比、运行时间和计算复原图像的峰值信噪比,通过matlab代码。- Is a good learning materials to learn PCA feature extraction, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, By matlab code.