COM-based-Hybrid

幅频键控ASK的相干调制解调以及非相干调制解调的仿真实现，源代码中作了详细的备注，通过学习该代码能够对ASK的调制解调有更加深入的认识(Coherent amplitude and frequency shift keying ASK modulation and demodulation, and non-coherent modulation and demodulation simulation, source code made detailed notes, by learning the code to the ASK modulation and demodulation of a more in-depth understanding of)

SRGB 数据转化为XYZ 数据格式，色彩学相关研究人员会有所帮助(SRGB data into XYZ data format, color science will help the researchers)

它是基于均匀圆阵的非圆信号NC-MUSIC算法的波达方向估计(It is DOA estimation of UCA Based on NC-MUSIC algorithm)

epsK matlab modulation

说明：  模糊PID控制器设计源程序，已在matlab中运行通过，有良好的控制效果(Fuzzy PID controller design source, has been run by matlab, good control effect)

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)

强大的滤波器设计软件，实现低通、高通滤波，非常实用(Powerful filter design software, to achieve low pass, high pass filter, very practical)

数值计算用用到的各种线性方程解法的程序，非常适合初学MATLAB和数值计算的研一学生所用(With numerical solution of linear equations used in a variety of programs, very suitable for beginners MATLAB and numerical study used a student)

对数据进行EOF分解，得到数据的空间分布和时间系数，进行时空分析。(EOF on the data decomposition, get the spatial distribution and the time coefficient data, spatio-temporal analysis.)

MFCC,即倒谱系数，也是语音的一个特征之一，能够充分利用人耳的特性 ％ 具体的求法就是预处理，然后加窗，进行傅立叶变换，再求出功率普 ％ 然后得出其自然对数，最后进行dct变换 ％ 代码是用matlab写的，用到的一个语音工具箱，可以从网络上下载。(MFCC, that is, just a few pedigree, as well as a voice of one, to take full advantage of people's ears% of the specific characteristics of the solution is pretreatment, then increasing the window, Fourier transform, another sought power pu% then come to its natural logarithm, culminating transform% Extra code is written in Matlab. use of a voice box can be downloaded from the Internet.)