waveletedge

This code is about Gaussian Random

说明：  学习使用matlab数学建模，包括了一些基本教程和经典的建模例子。(Learning to use matlab mathematical modeling, including some basic courses and classic modeling examples.)

A speech signal filterbank, using melscale frequency and framebanking.( 1. For speech signal can be represented as a discrete sequence of frames (or feature vectors) that can be used as the input to a speech recogniser. Important ideas and techniques that are used in the assignment are the design of a (Mel frequency scale) audio filterbank, , windowing of a continuous audio signal, spectrum analysis of the signal, filtering as multiplication in the frequency domain, the visual representation of a speech signal as a spectrogram, appreciation of the acoustic variability in real speech utterances. 2. To gain a deeper knowledge of the application of MATLAB programming to audio signal processing. 3. To gain practice in the art of writing a formal report: structure, content, style, use of diagrams, presentation etc. etc. )

fisher分类器matlab代码，只具有二分类特性，可运行(fisher classifier matlab code, has only two classification features, you can run)

讲解LDA的，程序编写较为精致，可读性强(Explain the LDA, the program is to write more sophisticated, readable)

svpwm，三电平，simulink，空间适量脉冲宽度调制(svpwm, three-level, simulink, space right amount of pulse width modulation)

contrast of an image

带有MPPT功能的光伏阵列Matlab通用仿真模型,能够较好的仿真温度，光照的影响以及达到很好的跟踪效果(PV array with MPPT function Matlab generic simulation model that can better emulate temperature, light effects and achieve good tracking performance)

详细画出了时域和频域的相关图，音频信号通过LM386放大，用于建立主成分分析模型。( Correlation diagram shown in detail the time domain and frequency domain, LM386 audio signal amplification, Principal component analysis model for establishing.)

说明：  采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法等多种最常用的智能算法的matlab实现，共30个案例，每一个案例都是使用智能算法解决问题的具体案例。所有案例均有理论、背景、程序实现代码和扩展阅读四个部分。(In the form of cases, taking the intelligent algorithm as the main line, this paper explains the matlab implementation of genetic algorithm, immune algorithm, annealing algorithm and other most commonly used intelligent algorithms, a total of 30 cases, each case is a specific case of using intelligent algorithm to solve the problem. All cases have four parts: theory, background, program implementation code and extended reading.)