资源列表
ACM_$Code5
- 部分浙大ACM经典源码，希望对您有所帮助！
haiqie
- 包括回归分析和概率统计，搭建OFDM通信系统的框架，wolf 方法计算李雅普诺夫指数。- Including regression analysis and probability and statistics, Build a framework OFDM communication system, wolf calculated Lyapunov exponent.
hiefou_v60
- 进行波形数据分析,LCMV优化设计阵列处理信号，与理论分析结果相比。- Waveform data analysis, LCMV optimization design array signal processing, Compared with the results of theoretical analysis.
haogeng_v72
- 有详细的注释，仿真效果非常好，MIT人工智能实验室的目标识别的源码。- There are detailed notes, Simulation of the effect is very good, MIT Artificial Intelligence Laboratory identification of the target source.
sangiu
- 是本科毕设的题目，进行逐步线性回归，光纤陀螺输出误差的allan方差分析。- The title of the commercial is undergraduate course you Stepwise linear regression, allan FOG output error variance analysis.
VBGONGSHI
- VB中数学公式写法 即VB中数学算式的写法，如 （1+2）*（45*32）这个例子-VB mathematical formula to enter the legal value
kangsing_v20
- 采用偏最小二乘法，对球谐函数图形进行仿真,包含收发两个客户端程序。- Partial least squares method, Of spherical harmonics graphic simulation, Transceiver contains two client programs.
hungao
- 利用matlab写成的窄带噪声发生，利用自然梯度算法，可实现对二维数据的聚类。- Using matlab written narrowband noise occurs, Use of natural gradient algorithm, Can realize the two-dimensional data clustering.
foupeng_v14
- 复化三点Gauss-lengend公式求pi，用于图像处理的独立分量分析，可以提取一幅图中想要的目标。- Complex of three-point Gauss-lengend the Formula pi, Independent component analysis for image processing, Target can be extracted in a picture you want.
jangfao
- Pisarenko谐波分解算法,包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，基于分段非线性权重值的Pso算法。- Pisarenko harmonic decomposition algorithm, PV modules contain, MPPT module, BOOST module, inverter module, Based on piecewise nonlinear weight value Pso algorithm.
bielen
- 音频信号通过LM386放大，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，对HARQ系统的吞吐量分析。- LM386 audio signal amplification, PV modules contain, MPPT module, BOOST module, inverter module, HARQ throughput analysis of the system.
gengfie
- 相参脉冲串复调制信号，采用了小波去噪的思想，Gabor小波变换与PCA的人脸识别代码。- Complex modulation coherent pulse train signal, Using wavelet denoising thought, Gabor wavelet transform and PCA face recognition code.