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FPEXTRACTDEMO 指纹特征提取演示程序 一个完整的指纹特征提取程序。包括常用的所有算法... 选项： - Centralize: 二值化图像，计算中心点 - Crop: 图像修剪 - Sectorize: 可视化扇形 - Normalize: 归一化输入图像 - Gabor filters: 可视化Gabor滤波器 - Convolute: 计算输入图像和Gabor滤波器的convolution - Features: 特征可视化 - FingerCode: 在数据库中加入该指纹 - Check: 指纹匹配(Fingerprint Feature Extraction FPEXTRACTDEMO demo program a complete fingerprint feature extraction procedures. Including all the algorithms commonly used options ...:- Centralize: binary image, Center Point- Crop: image pruning- Sectorize: Visualization fan- Normalize: normalized input image- Gabor filters: Visualization Gabor Filter- Convolute: Calculation of the input image and Gabor filter convolution- Features: Characteristics of visualization- FingerCode: in the database to join the fingerprint- Check: Fingerprint matching)

AM与FM调制仿真程序，供大家参考！希望对大家学习有用！(AM and FM modulation simulation program, for your reference! We hope to learn useful!)

MATLAB7.0入门教程 大学教程，入门参考(MATLAB7.0 Tutorial university tutorials, reference entry)

说明：  利用粒子群优化算法对支持向量机中的核函数参数和惩罚参数进行优化是非常有效的手段，可以大大提高鲁棒性。实际过程中读者可通过下载我上传的代码，简单进行修改和阅读附件论文即可快速掌握相关方面的知识，快速使用这一方法。(Particle swarm optimization (PSO) is a very effective method to optimize the kernel function parameters and penalty parameters of SVM, which can greatly improve the robustness. In the actual process, readers can quickly grasp relevant knowledge and use this method by downloading the code I uploaded, simply modifying and reading the attached paper.)

数学规划的matlab实现，非常全面，可以解决大量的优化问题(Mathematical Programming matlab realize, very comprehensive and can be solved a large number of optimization problems)

MATLAB入门必备（英文）。适合英语不太菜的初学者。^ ^(MATLAB entry required (in English). Food not suitable for beginners in English. ^ ^)

关于rake接收机原理仿真，包括性噪比的对照，误码率大小的比较。(Rake receiver on the principle of simulation, including the control of noise ratio, bit error rate of the size of the comparison.)

This program determines the starting behaviour of the induction motor using the steady state ac circuit to represent it.

基于麦克风阵列的声源定位方法很多，相位变换加权的可控响应功率SRP-PHAT声源定位算法在混响环境中有较强的鲁棒性，可实现真实环境中的声源定位，因此该算法得到了广泛应用。SRP-PHAT对阵型没有特定要求，因此也适用于分布式阵列，事实上很多基于分布式阵列的定位系统采用了该算法。(This function creates an acoustic image from a set of microphone array signals using a steered response power (SRP algorithm).This particular version uses only integer shifts on the input signals for the delay and sum operation, and computes the coherent average power (rather than total average power), which does not include the power terms for each individual microphone signal. So the coherent power is effectively the cross-correlation between different microphone signals without the self power terms, and can therefore be negative.)

MATLAB命令大全-matlab 命令使用指南(MATLAB command-matlab command Guinness Guide)