Sound_modulation_A_law_u_law

非线性量化。读取wav文件，用2到12比特数量化。抽样频率8KHz。()

基于MATLAB的确定性系统的分岔与混沌的设计程序(MATLAB-based deterministic system, bifurcation and chaos in the design process)

说明：  实现小波神经网络的matlab源程序 功能还不是太完善 希望大家一起学习(Implementation of wavelet neural network matlab source function is not too perfect hope we will study together)

针对电力系统负荷预测问题，建立了基于Elman神经网络的负荷预测。提供了源数据，保证了程序的正常运行，预测效果不错。(According to the forecasting of power load, the load forecasting model based on Elman neural network is builded. The original data is provided, which will guaranteed the running of program with better effect.)

均匀园阵doa估计music算法源程序，实现对均匀园阵doa估计(Park doa uniform array algorithm estimates source music, to achieve uniform estimates doa Park array)

creates a list of all subdirectories of a specific folder

A sample code on fractional order derivatives

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.)

图像滤波与傅里叶变化的matlaba源码(带注释)(Image filtering and Fourier transform of matlaba source code (with comments))

基于matlab的k中心点聚类算法，适于matlab和聚类分析的入门学习(failed to translate)