bcs-spl-1.5-1

用于小波瞬态特征提取,间断点的提取。首相经过数据滤波处理(wavlet)

基于MATLAB的FIR数字低通滤波器的实现设计(The realization of the FIR digital low-pass filter based on MATLAB design )

这是基于matlab的关于Mel频率倒谱系数（MelFrequencyCepstrumCoefficient，MFCC）的代码，对大家理解有一定帮助。(This is based on the matlab Mel Frequency Cepstral Coefficients (MelFrequencyCepstrumCoefficient, MFCC) code for us to understand some help.)

实现FastICA功能，非线性函数分别选取高斯函数，三次函数和正切函数。(Realize FastICA function, non-linear function were selected gaussian function, three function and tangent function.)

说明：  基于LQR方法的风电机组变桨距控制的动态建模与仿真分析 模型搭建完成，功率跟踪效果良好(Dynamic modeling and simulation analysis of wind turbine pitch control based on LQR method The model is built and the power tracking effect is good)

 产生长度为1000的标准正太分布的随机信号，画出时域波形及频谱；  采用u=255的非均匀PCM编码，每符号为8bit，画输入-输出关系图；  计算信号量化噪声比（SQNR）；  信道误码率为10-3；  解码，并画出u律反变换后的信号时域波形及频谱。 扩展要求：  采用均匀PCM、量化级数可变、信道误码率可变。 ( have a standard length of 1000 is too random signal distribution, draw time-domain waveform and frequency spectrum  u = 255 using the non-uniform PCM encoding, each symbol for 8bit, drawing input- output relationship diagram  calculated quantization noise signal than (SQNR)  channel bit error rate of 10-3  decoder, and law to draw u the signal after the inverse transform time-domain waveform and frequency spectrum. Expansion of the requirements:  uniform PCM, quantization level variable, a variable channel bit error rate.)

mlp rule matlab code in neural network exist in this file

说明：  本程序主要是一个时钟软件，包括一个时钟表和一个日历。程序自动运行时，显示系统当前日期和时间，日期和时间可以由用户自行更改。内含一个详细说明文档。 (This program is primarily a clock software, including a time clock and a calendar. The program automatically runs, display the current system date and time, date and time can be changed by the user. Contains a detailed description of the document.)

说明：  这些源码为电子工业出版社出版的精通MATLAB科学计算里面的多有源代码，很适合初学者(The source for the electronic industry press the master of science in MATLAB calculation is more suitable for beginners.)

Designs an FIR filter given a desired frequency response H_des(w). The design is judged by the maximum absolute error (Chebychev norm). This is a convex problem (after sampling it can be formulated as an SOCP). minimize max |H(w) - H_des(w)| for w in [0,pi] ( where H is the frequency response function and variable is h (the filter impulse response). )