PSO SVM粒子算法优化的支持向量机

说明：  分析了一个应用于测量的 16位精度开关电容Δ2Σ模数调制器. 该调制器采用 3阶 1位单 环包含局部谐振器的前馈结构 ,在保证其具有较大的输入信号允许范围的同时引入零点优化来提高信号 /噪声失真比. (Analysis used to measure a 16-bit precision switched-capacitor modulator Δ2Σ modulus. The 3-order modulator using a single ring resonator, contains the local feed-forward structure, ensure that it has a large range of input signal at the same time allows the introduction of zero optimization to improve the signal/noise and distortion ratio.)

实现功能 1) 在用户界面设置录音时长并实时录音 2) 调节放音幅度、播放原声并进行时域、频域绘图 3) 对收集的声音进行倒放处理并播放 4) 对收集声音进行回声处理并播放，比对时域波形 5) 对收集声音进行回响处理并播放，比对时域波形 6) 对经过回声处理的声音进行回音消除并比对时域波形 7) 采用自适应滤波器消除采集声音中的环境噪音 8) 设计相应的滤波器组成均衡器对收集的声音进行处理并播放 9) 男女声识别 10) 设计参数可调的滤波器对采集的声音进行处理 (1) in the user interface to set the recording length and real-time recording 2) to adjust sound, played acoustic amplitude and time domain, frequency domain mapping 3) to upend the collection of sound and play 4) to collect sound echo processing and playback, than in the time domain waveform 5) to collect sound echoes, processing and playback, than in the time domain waveform 6) to echo and treated with echo s voice than in the time domain waveform 7) using adaptive filter to eliminate ambient noise in acquisition voice 8) to design the corresponding filter to process the voice of equalizer to collect and display 9) NanNvSheng recognition 10) tunable filter design parameters for voice processing )

用来做判别分析，内含案例数据和代码，适用于初学者(Used for discriminant analysis, with case data and code, for beginners)

简单的卡尔曼程序，里面详细介绍了5条核心公式的使用，适合初学者，里面的注释也很多。(Simple Kalman procedure, which details the use of the five core formula, suitable for beginners, inside comment.)

演化算法标准测试函数CEC2006,括Matlab代码，JAVA，C代码。(Problem Deˉnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization)

system identification base least square error on step peridiction

风场输入文件，FVCOM,热通量计算使用(Wind field input file, FVCOM, heat flux calculation)

《MATLAB时尚百例实例》实例28-41()

这是一个关于语音信号处理的工具箱，比较有用，欢迎大家下载 (it is a tool of voice process, and is useful, welcome to download)

this code reduce the dimentional of feature space using combine sparse matrix+PCA for classification eeg signal. more detail exixst inside the code. this code tested and work properly