function_sierspin_fractalsierpinski

is a very good soure code.

说明：  小脑模型的非线性模型识别小脑模型的非线性模型识别(CMAC Identification for nonlinear model)

随机森林的训练、随机森林的预测以及结果的展现，全部代码亲测(Random forest training, random forest prediction and result display, all code affinity test.)

matlab做的图像检索文档。里面3组图片可以试一试。(Matlab to do image retrieval. In 3group of pictures can try.)

线性调频信号，包括产生和脉冲压缩，国科大资料(Chirp signal, the National Science and Technology Institute of China)

滤掉低频段和高频段频率，分波段滤波，过滤掉噪声干扰，绘制功率谱密度曲线(Filter out the low and high frequency bands, filter in different bands, filter out the noise interference, and draw the power spectral density curve.)

说明：  采用matlab产生信号波形，实现QPSK编码。(Waveforms generated by matlab to achieve QPSK encoding.)

基于LMS(最小均方误差算法)的自适应滤波的源程序(Based on LMS (least mean square algorithm) adaptive filtering of the source)

扩散系统之浓度分布的装置。管中储放静止液体B，高度为L=10 ㎝，放置于充满A 气体的 环境中。假设与B 液体接触面之浓度为3 C 0 0.01mol m A = ，且此浓度不随时间改变 而改变，即在操作时间内( h = 10天)维持定值。气体A 在液体B 中之扩散系数为 D m s AB = 2×10− 9 2 。试决定以下两种情况下，气体A溶于液体B中之流通量(flux)。 (a) A 与B 不发生反应； (b) A 与B 发生以下之反应 A+ B→C ， A A − r = kC 其反应速率常数k = 2×10− 7 s− 1。 (Diffusion system of concentration reference device shown in Figure 3. Tube in the store still liquid B, L = 10 cm height, placed in full A gas environment. Assuming the contact surface of the liquid with the B concentration of 3 C 0 0.01mol m A =, and this concentration does not change with time and change, that is, the operating time (h = 10 days) to maintain constant. Gas A in liquid B, the diffusion coefficient D ms AB = 2 × 10-9 2. Decided the following two test cases, the gas dissolved in liquid B in the A liquid (flux). (A) A and B do not react (b) A and B of the following reaction occurs A+ B → C, AA- r = kC, the reaction rate constant k = 2 × 10-7 s-1.)

实现了PCM编码->基带码型转换（NRZ to HDB3）->QPSK调制->高斯信道->QPSK解调->基带码型反转换（HDB3 to NRZ）->PCM解码。同时给出了误码率曲线。(Achieve a PCM coding-> Baseband code converter (NRZ to HDB3)-> QPSK Modulation-> Gaussian channel-> QPSK demodulator-> anti-baseband conversion pattern (HDB3 to NRZ)-> PCM decoding. Also shows the BER curves.)