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一种新的模糊控制电机，改进了一些希望对大家有用。(A new fuzzy control motor, improved some hope on the U.S. useful.)

频谱分析说名太短，你这个破网站够可以了，一个分析小程序有啥好说嘛(Spectrum Analysis)

说明：  图像处理，RS编码，纠错码这个单元对每个扰码后的传输数据帧,包括同 步字节进行截短的RS(204,188)编码.RS编码时, 在信息位前添加51字节的“0”再进入RS(255,239) 编码器,编码后再截去这些字节.RS(255,239)编码 (Image processing, RS coding, error correction code for each scrambling code of this unit after the transmission of data frames, including the sync byte truncated RS (204,188) code. RS encoding, the information bit before adding 51 bytes &quot 0 &quot and then enter the RS (255,239) encoder, encoding the bytes and then amputated. RS (255,239) coding)

利用小波神经网络来对时间序列进行预测的源程序(Wavelet neural network to predict the time series of source)

用汉宁窗函数法设计一个数字FIR高通滤波器，要求通带边界频率为500Hz，阻带边界频率为400Hz，通带最大衰减1dB，阻带最小衰减40dB，抽样频率为2000Hz，用MATLAB画出幅频特性，画出并分析滤波器传输函数的零极点(With han ning window function method to design a digital FIR high-pass filter, request bandpass boundary frequency for 500 Hz, stop-band boundary frequency for 400 Hz, bandpass biggest 1 dB attenuation, stop-band attenuation least 40 dB, sampling frequency for 2000 Hz, MATLAB draw the amplitude frequency characteristics, painted and analysis filter transmission function of zero poles)

基于Matlab编写的MIMO通信系统仿真，代码是在课设的报告；包含数字通信系统 JihOoo仿真流程，实现基本的信道编译码、调制解调等通信模块。学习并实现MIMO空时处理技术学习性能分析的思路和方法，包含 ICzcjie解码算法。(Based on the Matlab MIMO communication system simulation, code is class-based reporting JihOoo contains digital communication system simulation process, to achieve the basic channel coding, modulation and demodulation and other communication modules. Learn and implement ideas and methods MIMO space-time processing performance analysis of technological learning, comprising ICzcjie decoding algorithm)

通过MATLAB编程，利用Logistics映射生成随机数(By MATLAB programming, using Logistic map to generate random numbers)

该电路用来测量电感变化，在产品中经过考验，非常可靠希望帮助大家学习！(The circuit is used to measure the inductance changes, the product after the test, very reliable hope to help you learn! )

Differential Evolution

Abstract The study of digital signal processing normally concentrates on the design, realization, and application of single-input, single-output digital filters. There are applications, as in the case of spectrum analyzer, where it is desired to separate a signal into a set of sub-band signals occupying, usually nonoverlapping, portions of the original frequency band. In other applications, it may be desired to combine many such sub-band