整理好的广义的互相提取时延算法，matlab编写

ｍａｔａｌａｂ的算法，是一种最短路径的求解()

fir filter design techniqs

利用C、C＋＋或者MATLAB对一张照片进行DCT和DFT变换，并进行简要分析。 比较保留20个DCT变换系数重构的图像与原始图像之间的差别(Use C, C++ or MATLAB to carry out a photo on the DCT and the DFT transform, and a brief analysis. Comparison of retention of 20 DCT transform coefficients of image reconstruction with the difference between the original image)

说明：  经典MUSIC算法,WMUSIC算法,ROOT-MUSIC算法,BEAMFORMING-MUSIC-BS1算法的性能与阵元数的关系(Classical MUSIC algorithm, WMUSIC algorithm, ROOT-MUSIC algorithm, BEAMFORMING-MUSIC-BS1 algorithm performance and the relationship between the number of array elements)

平坦衰落信道的MATLAB仿真（有多普勒频移） (Flat fading channels MATLAB simulation (with Doppler shift))

经典的假币称量问题的解决方案，可以对任意数目的硬币含有一枚假币的问题进行自动划分称量方案并给出称量次数以及结果。对需要和不需要知道假币与真币轻重两种情况都可以给出最优解。

寻找最低像素值的matlab实现：通过图像矩阵的循环查找，能实现最低像素值的快速寻找(Matlab find the lowest pixel value to achieve: to find the cycle through the image matrix, to achieve the minimum pixel value Quick Find)

This package enables Gaussian process prediction with very large sample sizes with a much smaller computational burden than many existing methods.

检测估计和调制理论 迄今为止，本书仍然是公认的关于检测、参数估计和线性与非线性调制波形估计方面的一本论述详尽、深入、成功的著作。也是一本较好的研究生教材。内容是研究发生在通信、雷达和声呐中被噪声污染了的各种线性与非线性调制、随机与非随机波形的最佳处理的数学方法和物理结构，各种系统可能达到的性能极限和影响它的各种因素。全书包括导论、经典检测和估计理论、随机过程的描述、信号检测与信号参数估计、连续波估计、线性估计和讨论等7章。每章附有相当数量的扩大内容范围的习题。 (Detection Estimation and Modulation Theory So far, the book is still recognized on the detection, parameter estimation and estimation of linear and nonlinear modulation waveform s a detailed discussion, thorough and successful work. Is also a good post-graduate teaching. Content is research in communications, radar and sonar noise pollution has been a variety of linear and nonlinear modulated, random and non-random waveforms of the best methods of dealing with the mathematical and physical structure of the performance of the various systems may reach the limit and the various factors affecting it. The book includes introduction, classical detection and estimation theory, stochastic process description, signal detection and signal parameter estimation, continuous-wave estimation, linear estimation and discussion of Chapter 7. Each chapter is accompanied by a considerable number of exercises the expansion of content areas.)

MATLAB MLP Backprop Code