fuzzy c-mean

预测达到代谢通量最优分布而进行双基因敲除的matlab例程(Forecast to achieve optimal metabolic flux distribution for double-gene knockout of matlab routines)

问题描述： 哥德巴赫猜想：任何大偶数均可表示为2 个素数之和。(Problem Description: Goldbach conjecture: any large even number can be expressed as two Primes.)

manual ccs3.1开发环境DSP编程使用教程(manual ccs3.1 Programming Tutorial DSP development environment)

用增广最小二乘法进行单输入单输出系统的参数辨识，输入采用幅度为1的4阶伪随机序列(Extended least squares method parameters identification of single-input single-output system, enter using the amplitude of a 4-order pseudo-random sequence)

说明：  用双线性变换法设计一个Butterworth低通滤波器，要求其通带截止频率100Hz，阻带截止频率200Hz，通带衰减小于2dB，阻带衰减大于15 dB，采样频率为500 Hz。(Using bilinear transformation to design a Butterworth low-pass filter, requiring that their pass-band cutoff frequency 100Hz, stopband cutoff frequency 200Hz, pass-band attenuation is less than 2dB, stop-band attenuation greater than 15 dB, a sampling frequency of 500 Hz.)

傅立叶拟合，可以选择拟合的最高频率，经测试，运行良好(Fourier fitting, you can choose the highest frequency of fitting has been tested and runs well)

已知自变量t，因变量y，y和t满足一下函数式： dy/dt=0.001414/(1/(4.5727*10^4*k1*(1-0.02119*y)^k2)+1/k3/45727)；（需要指出的是，该公式中参数可进一步合并，在本帖中并未作合并处理） 已知 t=；y=；拟合出参数k1，k2，k3。(Known independent variable t, the dependent variable y, y, and t satisfy my functional: dy/dt = 0.001414/(1/(4.5727* 10 ^ 4* k1* (1-0.02119* y) ^ k2)+1/k3/45727) (It should be noted that the equation parameters can be further consolidated in this post are not treated as a merger) is known t = y = fitting parameters k1, k2, k3.)

全频谱的matla代码及应用。包含一个全频谱代码文件和一个应用文件。(The full spectrum of matla code. Contains a full spectrum code file and an application file.)

基于R-L模型的CT扫描和滤波反投影重建的程序实现(Based on CT scan and filter back projection reconstruction RL model program)

gray scale coding method