ccs

MVDR自适应波束形成的LMS算法使用，LMS算法迭代次数对波束形成结果的影响(MVDR adaptive beamforming using the LMS algorithm, LMS algorithm is the number of iterations on the results of beam-forming)

此为小波边缘提取的源代码，已经精心调试过，请放心使用.(This is the wavelet edge detection of the source code has been carefully debugging, please rest assured that use.)

说明：  Matlab 经典算法程序规划绘图差值数值分析(Matlab classical algorithm mapping programmatic difference between the numerical analysis of)

说明：  模糊聚类和模式识别的具体应用算法，详细的计算说明(Fuzzy clustering and pattern recognition algorithm for specific applications, detailed calculations show)

在相应的单片机上实现直流电机测速程序的matlab程序(The corresponding SCM matlab program)

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

PSO (particle swarm optimization)

对一幅具有颗粒形状的图像进行了处理和分析。能够计算出图像中的颗粒数和颗粒的相关特征，能够较为快速有效地计算出颗粒的特征信息。附有详细算法说明和报告(Particle shape of an image has been processed and analyzed. Be able to calculate the number of particles in the image and the relevant characteristics of particles that can be more quickly and efficiently calculate the characteristics of particles of information. Statements and reports with a detailed algorithm)

说明：  编写画出N(1,1/9)的概率密度和概率分布函数图形的MATLAB程序，并给出计算结果。(Prepared to draw N (1,1/9) of the probability density and probability distribution function of the MATLAB graphics program, and gives results.)

A Guide to MATLAB for Beginners and Experienced Users