QUANTIZATION

智能天线算法中的非盲算法中的最小二乘法算法，运行后直接出来结果(Algorithm of smart antenna algorithms in the non-blind least squares algorithm, to run directly from the results of)

处理由采集卡采到的加速度传感器测得的信号，并分析其在0-1000Hz的频谱幅值并绘制频谱图(Processed by the acquisition card taken to the measured acceleration sensor signal, and to analyze the spectrum of the 0-1000Hz and draw the amplitude spectrum)

matlab调用CTP接口的例子，实用性强(the matlab call CTP interfaces examples of practical)

用matlab设计IIR和FIR滤波器，包换各种窗体函数(Matlab design IIR and FIR filters, replacement form function)

方位估计实验，MVDR 高分辨方位估计，基于实测实验数据。(DOA with MVDR theorem ，based on real data from waterbank experiment。)

基于MATLAB的数字图像处理的分析，包括图像显示，图像平滑，图像锐化，等(MATLAB-based analysis of digital image processing, including image display, image smoothing, image sharpening, etc.)

the code for control points

各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪 meanfilter.m 均值滤波方法进行去噪(对比用) medfilter.m 中值滤波方法进行去噪(对比用)(Denoising procedures for various methods Den1.m using semi soft threshold method for image denoising The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image The improved method of den1_9.m semi soft threshold will be changed linear to exponential. The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising Den2.m using the soft and hard threshold function to improve the method of denoising Den3.m using generalized threshold function for denoising Den4.m with adaptive feature threshold function for denoising Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising Meanfilter.m mean filtering method for denoising (contrast) Medfilter.m median filtering method for denoising (contrast))

贝叶斯压缩感知工具包，matlab源代码，BCS入门工具包，配合文章学习。(tools for Bayesian compressian sensing. matlab souce code.)

Controle de courant avec PMW