xiandaipuguji

melfiltter function use for speech recognition and have mel filter bank

BFT,正交傅里叶变换，用于检测线性调频斜率的方法。仿真与论文结果一致。(BFT, orthogonal Fourier transform for detecting the slope of the linear frequency modulation method. Simulation results are consistent with the thesis.)

实现物种功能的语音处理：倒谱、时域、频谱、语谱图以及功率谱，并加有详尽的注释。另外还可以保存图像，一倍后来研究！matlab ＧＵＩ编程(Voice processing functions to achieve species: cepstrum, time domain, frequency spectrum, spectrogram and power spectrum, and add detailed comments. It also can save the image, doubled and later research!)

相机检校的另一方法Tsai，在MATLAB中实现，可以与张正友的方法作比较。(Another method of camera calibration Tsai, in MATLAB to achieve, you can and Zhang are the Friends of the method for comparison.)

一些MATLAB的有关无线信道衰落的仿真源代码(Some of the wireless channel fading MATLAB simulation source code)

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

matlab code for gabor filter

说明：  SVM分类器,关键是对信号进行分类，是模式识别的必备宝典(SVM classifier, the key is to classify the signal is essential for pattern recognition Collection)

总结了matlab中的所有的工具箱，并给出一些例子教给我们怎么使用(Summarizes all of the toolbox in matlab, and gives some examples to teach us how to use)

matlab编写的kmeans均值聚类程序。可以分多类！！(matlab prepared the kmeans mean clustering program. Division multiple class! !)