Max-fonction

基于遗传非常简单实用。算法的多目标优化方案, 用matlab程序编写,(Multi-objective genetic algorithm-based optimization scheme is very simple and practical. Programming with matlab)

Document on methods of RS encoding

脉冲编码调制(PCM)实现 编程实现PCM技术的三个过程：采样、量化与编码。 采样：低通连续信号采样，以 x=sin(200*t) m=x./(200*t) m=m.*m 为例说明低通采样定理，绘出信号时、频图形；带通连续信号采样，以x=sin(20*t) m=x./t 为例说明带通采样定理，绘出信号时、频图形。 量化：均匀量化，以幅度 的正弦信号为例实现为64级电平的均匀量化；非均匀量化，输入A律PCM编码器的正弦信号 ，采样序列为 ，将其进行PCM编码，给出编码器的输出码组序列 编码：以上述信号为例，实现A律的13折线近似法及国际标准PCM对数A律量化编码。(Pulse code modulation (PCM) to achieve PCM technology programming three processes: sampling, quantization and coding. Sample: low-pass continuous signal sampling to x = sin (200* t) m = x./(200* t) m = m.* m an example low-pass sampling theorem, draw the signal, frequency graphics bandpass sampling continuous signals to x = sin (20* t) m = x./t an example bandpass sampling theorem, draw the signal, frequency graph. Quantization: uniform quantization, in order to realize the magnitude of sinusoidal signal as an example for the 64 level uniform quantization non-uniform quantization, input A law PCM encoder sine signal, the sampling sequence, to be PCM encoded, the encoder is given The output code sequence Code: A Case Study of the signal to achieve the 13 A line approximation law and international standards on the number of A law PCM coding quantization.)

IIR和FIR滤波器的设计，用脉冲响应不变法和双线性变换法设计IIR滤波器，用窗函数法设计了FIR滤波器。(IIR and FIR filter design, with the impulse response method and the bilinear transform IIR filter design using window function design of the FIR filter.)

说明：  Optimization Example

雷达方程仿真程序，包括基本的雷达距离方程，雷达能量方程，脉冲压缩处理等(radar function simulation code, including basic radar range function, radar power function, pulse compress processing)

该函数为MATLAB编写，实现功能为中值滤波，中值滤波能更好地保留图像细节，对盐椒噪声有很好的去除效果。(The MATLAB function is prepared to achieve function, median filtering, median filtering can reserve the image detail, and good salt pepper noise removal.)

实现DES算法的加，用matlab实现，代码简洁(DES algorithm to achieve the increase, with Matlab realized, concise code)

Slow feature analysis using matlab

MATLAB FOR ADAPTIVE MODULATION IN MIMO OFDM FULL CODING COMPARISON FOR AWGN AND RAYLEIGH