Simple-Function-Approximation

calculate ccdf of papr of ofdm

Monte Carlo Simulation On Estimating the probability of a flush

matlab编写的MIMLBoosting算法，其中包括实现算法的函数，还有可作为示例的数据和主程序，可以运行，可以对多示例多标记样本进行分类，并计算正确率等多个指标。(MIMLBoosting algorithm matlab prepared, including the implementation of the function of the algorithm, as well as examples of data and the main program, you can run, you can multi-instance multi-label classification of samples and calculate the number of indicators, such as the correct rate.)

数字图像修复算法的评价标准也是从两个方面进行评价的，一个是修 复算法的效率，一个是修复后图像质量。修复算法的效率主要就是看修复 图像所用的时间，可以用时间就行量化。而图像质量很难从量上唯一的进 行评价，目前图像修复质量还没有统一的评价标准，从实际应用出发，修 复后图像质量的好坏大多数是从以下两个方面就行评价，修复后图像给人 主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair. One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair. The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only. At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people. Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)

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matlab程序　信息论　算术编码及其译码程序(arthemetic)

对图形图像进行处理，使图形图像配准，更为准确(The graphic image processing, the graphics image registration, more accurate)

这是一个用MATLAB编写卡尔曼滤波算法的程序(This is a program)

The primary objective of the QRD-M detector is to identify the candidate list. The QRD-M algorithm is a breadth-first tree search. It views all the branches it will ever consider for a given stage of the detection tree and then rejects all but the Mi best nodes at the i-th detection stage before continuing on to the next stage.

通过FIR滤波器的自适应调整，不断修正其系统函数，使其与未知系统的参数充分逼近，从而使误差最小，达到系统辨识的目的。(Through the adaptive FIR filter, and continuously revise its system function, so that the unknown system parameters with sufficient approximation, so that the smallest error to achieve system identification purposes.)