spectrum-compress

matlab代码，用于计算小波基mallet的程序，对学习小波变换很有用(matlab code used to calculate the wavelet mallet procedures, the study of wavelet transform is useful)

说明：  模式识别matlab工具箱。一般常见的分类方法都包含在内，还有svm分类。(Pattern recognition matlab toolbox. General common classification methods are included, as well as svm classification.)

美国作者James写的编程之道全本，爱好编程的朋友可以看下(how to program)

脉冲激光器输出表达式的仿真实验，可以研究脉冲激光器的脉冲(the matlab of the out put of the pulse laser is used for the studied by the user)

抑制载波双边带调幅　相干解调　DSBMODE 与离散大载波AM不同(Carrier suppression amplitude modulation with coherent demodulation bilateral DSBMODE with different discrete large-carrier AM)

帮助你快速了解matlab的应用及使用 快速入门的必备之物(Matlab help you quickly understand the application and use of Quick Start' s essential thing)

：介绍了采用 T MS 3 2 0 L F 2 4 0 7 A芯片实现对永磁 同步 电机 ( P MS M)的设 计与控制 ，讨论 了空间矢量脉宽调制 ( S V P WM)控制方法 ，并给出了控制系统的硬件设计和 软件实现。试验结果表 明该系统具有较好的跟踪性能 ，稳态精 度较高 ；T MS 3 2 0 L F 2 4 0 7 A作为 D S P控制器 2 4 x系列 的新成员 ，是电机数字化控制的升级产品。 (The d e s i g n a n d c on t r o l o f PMS M a t e r e a l i z e d u t i l i z i ng TMS 3 2 02 4 07A，a n d s pa c e v e c t o r p ul s e w d t h mo d u l a t on s d】 c u s s e d．Th e e x De r i me n t r e s uI t i n di c a t es t h a t t h e s y s t e m h a s be t t e r f ol l o wi n g p e r f o r ma n c e a n d h i g h e r s t e a d y p r e c i s o n， a s a n e wme Ⅱ l be o t t h e 24 x s e r i e s o f DSP c o n t r o l l e r s，TMS 3 2 02 4 07A i s a up g r a d e pr o d u c t i o n f o r mo t o r d i g i t a l c o nt r o l · )

基于meanshift的简单目标跟踪程序matlab代码(Based on the meanshift easy target tracking procedures matlab code)

Genetic Algorithms-matlab code (Genetic Algorithms-matlab code)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */