资源列表
rastrigrin-pso
- 改进惯性权值后，改进的粒子群算法收敛速度加快，为了验证其收敛速度，通过测试函数rastrigrin对其检测，效果良好-The improved inertia weight, improved particle swarm algorithm converges faster, in order to verify its convergence rate by testing its detection function rastrigrin good effect
Griewankan-pso
- 改进惯性权值后，改进的粒子群算法收敛速度加快，为了检验其收敛速度，通过Griewankan算法对其检测。-The improved inertia weight, improved particle swarm algorithm converges faster, in order to test its convergence rate by Griewankan algorithm to detect.
pso-GA
- 粒子群算法MATLAB代码、遗传算法优化RBF径向基神经网络MATLAB程序-Particle swarm algorithm MATLAB code, genetic algorithm optimization RBF RBF neural network MATLAB program
MaxSINR
- 波束成形，基于非盲算法下的最大信噪比原则的波束成形。-Beamforming, based on the maximum signal to noise ratio beam under the principle of non-blind algorithm forming.
LCMV
- 波束成形，基于非盲算法下的LCMV线性约束最小方差的波束成形，支持单个/多个约束方向。多个/单个噪声方向。-Beamforming, based on LCMV LCMV algorithm under non-blind beamforming, supports single/multiple constraints direction. Multiple/single noise direction.
lineararry
- 均匀线性阵列的波束成形.波束成形入门级代码-Beamforming uniform linear array
ASC_MSE
- 基于非盲算法下的MSE最小均方误差的ASC旁瓣相消法的波束成形。含详细注解-ASC Consumer Law sidelobe beam algorithm based on MSE unblinded under the minimum mean square error of shape. With detailed notes
kmeans-no-empty-cluster
- Kmeans algorithm forimage segmentation of gray level image. It can avoid empty cluster problem of kmeans.
LMS
- 基于盲算法的自适应LMS最小均方算法，波束成形。-LMS algorithm based on blind adaptive LMS algorithm, beamforming.
select_best_cos
- 原子分解MP算法正弦原子库的建立及选择出和原函数相匹配的最佳原子-Atomic Decomposition MP algorithm library sine atom and atom-out and the best match of the original function
speech-enhanceme
- 谱减法语音增强的仿真实现：读取语音文件，产生随机白噪声，将两者联合起来，加入汉明窗，帧间重叠50 ，短时FFT，短时相位谱，频域中合成语音，短时IFFT并各帧重叠相加，去除汉明窗引起的增益，最后得到增强后的语音。-Spectral subtraction speech enhancement Simulation: reading voice files, generate random white noise, the two unite Jiaruhanming window, 50 ov
jiachuangchazhiFFT
- 为了抑制频谱泄露和栅栏效应，对FFT加hanning窗并采用双谱线插值的方法提高算法精确度-In order to suppress the spectrum leakage and fence effect of FFT plus hanning window and double line interpolation method improves the accuracy of the algorithm