资源列表
fencen
- 用分层实现遗传算法，高、低两个层次并行运行，自主选择种群规模、变异率及两层的交叉率，结果以文本方式输出。-layered with Genetic algorithms, low - and high-level parallel operations, choosing their own population size, mutation rate and the two-tier cross-rates, the results in text mode output.
RadarAnalysisSoftware
- 此为使用VEE Pro开发的雷达信号分析软件，对仪器和雷达系统分析有参考价值-here for the use of VEE Pro development of the radar signal analysis software, the right equipment and radar analysis reference value
Sigtest
- 此为使用VEE Pro开发的信号完整性分析软件，对高速串行信号分析有参考价值-here for the use of VEE Pro development of the signal integrity analysis software for high-speed serial signal analysis reference value
dct_p
- 这是用VHDL语言(硬件描述语言)写的一个二维 8*8块的离散余弦变换(DCT)以及反变换(IDCT).全同步设计,低门数.可以用于多媒体及打印应用领域.-VHDL (hardware descr iption language) wrote a two-dimensional 8 * 8 discrete cosine transform (D CT) and the anti-transform (IDCT). fully synchronous design, low gate cou
jaguar2s
- 8-1024可变点数FFT/IFFT变换,VHDL语言设计, 仿真通过,可以很容易综合.-8-1024 points FFT / IFFT transform, VHDL design, simulation, can easily integrated.
jpegcompress_decompress
- 自己做的简单的jpeg编码程序，支持1：1：1采样的baseline彩色jpeg，输入只能是24bit的BMP文件-doing a simple jpeg coding procedures, and supports 1:1 : a sampling of the baseline color jpeg, import 24bit is the only BMP file
LaserCommunicationSimulationSystem
- 建立GEO和LEO的轨道，并计算他们间方位角和俯仰角速度及加速度，多普勒频移等重要参数。-established GEO and LEO orbits, and calculate their azimuth and pitch between angular velocity and acceleration, Doppler frequency shift and other important parameters.
CArithmetic
- c 语言算法的实例实现,将数据结构中的重要算法实现-examples of achievement, the data structure an important algorithm
zhuiganfalaal
- 用VC编写的数值分析的追赶法，可以通过修改N的值来改变矩阵的大小。-VC prepared by the numerical analysis to catch up, may amend N changes to the value of the matrix size.
shuzhifenxi578
- 用VC编写的数值分析里面三角矩阵的算法，本人已经经过多次验证。-VC prepared by the numerical analysis inside the triangular matrix algorithm, I have read several certification.
GA-1
- 一个利用遗传算法求解最优解的程序 主要是利用遗传算法迭代寻求最优的逼近解-using a genetic algorithm for optimal solution of the main procedures is the use of genetic algorithms for optimal iterative approximation Solutions
GA-2
- 利用遗传算法求解一个问题的最优解，包括交叉、变异等过程 -using a genetic algorithm for the optimal solution, including crossover and mutation processes