[matlab例程] beamforming

说明：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
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[matlab例程] design-filter-to-minimum-noise

说明：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.
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[matlab例程] Rosenbrock

说明：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
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[matlab例程] junhengqi-realized

说明：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
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[matlab例程] suanfa

说明：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.
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[matlab例程] steepdes

说明：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
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[matlab例程] kernel

说明：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
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[matlab例程] matlab

说明：matlab的教程，PPT教程，共分为六节-matlab tutorial, PPT tutorial is divided into six
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[matlab例程] cross-Entropy

说明：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
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[matlab例程] pso

说明：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
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[matlab例程] varycolor

说明：generate colors in matlab,
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[人工智能/神经网络/遗传算法] k-means

说明：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
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