Neville--interpolation

matlab code for zoomin and shrinking

说明：  实现信号稀疏变换、观测矩阵设计、重构算法等一系列最新理论成果。(Achieve sparse signal transformation, observation matrix design, reconstruction algorithm and a series of recent theoretical results.)

说明：  数字信号处理中的一些matlab源程序。(digital signal processing some of the Matlab source.)

Westerberg分析自由度的资料，自适应处理入门兄弟的好资料，呵呵(Westerberg et al. (1979) approach is used to analyze the Degrees of Freedom (DF) of both the individual units of a process flowsheet and the entire flowsheet.)

数据采集GUI与分析,可以读取与保存数据，用于串口控制(data collection and anlysis in GUI)

Matlab code for thinning 2D

小波阈值去噪，得到信噪比更高的信号，进行后续处理更清晰。(Wavelet threshold denoising to get higher signal noise ratio, the subsequent processing more clear。)

这是对于RS和BCH进行译码的matlab实现(This is for the RS and BCH decoding for the Implementation of Matlab)

该算法是基于遗传算法跟量子遗传算法运算中两者的适应度曲线合并的程序。使用该程序能更好的对比两者的适应度以及收敛速度。(The algorithm is based on genetic algorithm computation with quantum genetic algorithm in both curves merge fitness program. Fitness contrast both to better use the program as well as the convergence rate.)

（1） 数据源：随机产生752*8bit作为数据源 （2） 按照DTMB的能量扩散初始相位和生成多项式来产生伪随机数据并对原始数据源进行加扰 （3） 加扰后的数据直接进行解扰，观察误码率的值，验证加扰算法 （4） 按照DTMB标准构造BCH（1023，1013）来实现BCH（762，752）信道编码器和解码器，并观察其误码率是否为0来验证其正确性。 （5） 最后把能量扩散和BCH编码级联，接收端把BCH解码和解扰级联，观察其误码率，验证正确性。 ((1) Source: randomly generated 752* 8bit as data source (2) in accordance with the energy of the initial phase and the diffusion DTMB generator polynomial to generate a pseudo-random data and the original data source scramble (3) the scrambled data is directly descramble, the bit error rate of the observed values, verification scrambling algorithm (4) In accordance with DTMB standard configuration BCH (1023,1013) to achieve the BCH (762,752) channel encoder and decoder and observe its error rate is 0 to verify its correctness. (5) Finally, the energy dispersal and BCH coding cascade, the receiving end of the BCH decoding and descrambling cascade observed error rate, to verify the correctness.)