filter

direct sequence spread spectrum

该算法应用蚁群算法，在蚁群算法的基础上应用于有约束条件的最优化问题。(The algorithm is applied ant colony algorithm, the ant colony algorithm based on the conditions applied to the most constrained optimization problem.)

实现了时分复用,并在信道中加入高斯白噪声(Achieved a time-division multiplexing, and in the channel by adding Gaussian white noise)

近红外光谱平滑去噪算法，由于光谱仪得到的光谱信号中既有有用的信息，同时也叠加着随机误差，即噪声，而这种方法能取到很好的去噪作用。(Nir denoising smoothing algorithm, as a result of the spectrometer for spectrum signal in both the useful information, and superposition of the random error, the noise, and this method can get very good denoising effect. )

matlab学习的基础例题，哪本书的记不太清楚了，不过可以准确说这是适合自动化本科生初学matlab的例题。(the based list)

实现了Intelligent Reflecting Surface Enhanced Wireless Network_Joint Active and Passive Beamforming Design文章里的分布式算法。(The distributed algorithm in Intelligent Reflecting Surface Enhanced Wireless Network_Joint Active and Passive Beamforming Design is implemented.)

L3_1.m: 純量量化器的設計(程式) L3_2.m: 量化造成的假輪廓(程式) L3_3.m: 向量量化器之碼簿的產生(程式) L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式) gau.m: ML量化器設計中分母的計算式(函式) gau1.m: ML量化器設計中分子的計算式(函式) LBG.m: LBG訓練法(函式) quantize.m:高斯機率密度函數的非均勻量化(函式) VQ.m: 向量量化(函式) L3_2.bmp: 影像檔 lena.mat: Matlab的矩陣變數檔 (L3_1.m: scalar quantizer design (the program) L3_2.m: quantitative result of the false contour (the program) L3_3.m: Vector quantizer code book of the generation (the program) L3_4.m: training in the use of LBG three different size and dimension of the code book and separate VQ (program) gau.m: ML quantizer design in the denominator of the calculation formula (function) gau1.m: ML quantizer design in the calculation of molecule-type ( function) LBG.m: LBG training method (function) quantize.m: Gaussian probability density function of the non-uniform quantization (function) VQ.m: vector quantization (function) L3_2.bmp: image file lena.mat: Matlab matrix variable file)

direct matrix inversion algorithm matlab code

本代码是基于颜色特征的关键帧提取代码，是用matlab来实现的。(The code is based on color features keyframe extraction code is used matlab to achieve.)

说明：  用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。(LMS algorithm with the adaptive equalizer, draw a square of experimental error convergence curves of the final design of the filter coefficients. An experiment of training sequence length is 500. To 20 independent experiments, to draw square error convergence curves.)