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MATLAB正割法求非线性方程，为一个函数的通用形式(Secant method for solving nonlinear equations MATLAB)

Newton raphson power flow code

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matlab编成设计基础相关的10本书，对学好matlab有很大帮助。(matlab-related design basis into 10 books, has a lot to learn matlab help.)

数字信号处理Matlab实现??中藕糯?鞰atlab实现数字信号处理Matlab实现(Matlab digital signal processing Matlab digital signal processing Ma tlab digital signal processing Matlab)

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.)

This is satellite flight software This is satellite attitude control system software

ENERGY DETECTION THRESHOLD

文化算法的MATLAB实现。实验结果表明该算法具有良好的性能。(MATLAB implementation of cultural algorithms. Experimental results show that the algorithm has good performance.)

说明：  在前面1维，2维的基础上继续推出3维的FDTD程序，可以帮助解决复杂的3维电磁散射问题，适用范围更广。这个程序给出计算要求的参数即可运行。(in front of one-dimensional, two-dimensional basis continue to offer three-dimensional FDTD procedures, which can help to solve the complex three-dimensional electromagnetic scattering problems, which have wider applicability. This procedure gives the parameters computing requirements can run.)