资源列表
beamforming
- 利用lms自适应滤波器原理，实现波束形成。 波束形成器的零干扰容量随着迭代次数和干扰目标信号比的增大而改善。-Lms adaptive filter using the principle to achieve beamforming. Beamformer with the zero-interference capacity of the number of iterations and the target signal interference ratio increased to
design-filter-to-minimum-noise
- 根据加噪声的音乐信号，设计合适的滤波器，对原有信号进行滤波，去除噪声，实现滤波功能。-According to the signal plus noise music, design the appropriate filter, the original signal is filtered to remove noise, the filtering function.
Rosenbrock
- The Rosenbrock function is a non-convex function used as a performance test problem for optimization algorithms introduced by Rosenbrock (1960). It is also known as Rosenbrock s valley or Rosenbrock s banana function. The global minimum is insid
junhengqi-realized
- 利用LMS自适应滤波器原理实现均衡器的设计。并对不同N时的滤波器进行比较-The use of LMS adaptive equalizer filter to achieve the principle
suanfa
- 10个基本阵列，方向60 ，80，85,120,130 通用INR=5dB，用music，capon，线性预测，波束形成等四种算法画出功率谱图。-10 basic arrays, direction 60, 80,85,120,130 common INR = 5dB, with music, capon, linear prediction, beamforming and other four algorithms to draw power spectrum.
steepdes
- In mathematics, the method of steepest descent or stationary phase method or saddle-point method is an extension of Laplace s method for approximating an integral, where one deforms a contour integral in the complex plane to pass near a stationary po
kernel
- In computing, the kernel is the main component of most computer operating systems it is a bridge between applications and the actual data processing done at the hardware level. The kernel s responsibilities include managing the system s resources (th
matlab
- matlab的教程，PPT教程，共分为六节-matlab tutorial, PPT tutorial is divided into six
cross-Entropy
- The cross-entropy (CE) method attributed to Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling. The method originated from the field of rare event simulation, where
pso
- In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population
varycolor
- generate colors in matlab,
k-means
- k-means算法，用于聚类,是一种机器学习的典型算法- k-means, used to clustering