jiandanls-svm

很不容易找到的关于水果检测的国外博士论文，文中主要是检测苹果(Very easy to find on the fruit detection of foreign doctoral thesis, the paper is to test the main Apple)

matlab的基于OFDM的LTE信道估计(matlab OFDM-based LTE channel estimation)

金额转换，阿拉伯数字的金额转换成中国传统的形式如：（￥1011）－>（一千零一拾一元整）输出。(The amount of conversion, the amount of Arabic numerals into the traditional Chinese forms such as: (￥ 1011)- " (1001 picked up a dollar a whole) output.)

用matlab对信号进行功率谱估计的几种方法(The signal using matlab several methods of power spectrum estimation)

研究LTE系统中半静态调度引入优先级后，用户吞吐量与SNR的关系(After studying the LTE system, the introduction of the semi-static scheduling priority, and user throughput and the relationship between SNRoutput of the converted character encoding. If the input aAb, output cCg)

Simulation Of Patch Antenna Using MATLAB

this matlab code consists of examples in electrovisco plastic filed. each example consists of matlab codes including discreptions through

介绍了并联机器人的导航算法，实用起来方便，实现了仿真的功能(Introduced parallel robot navigation algorithm, practical it easy to achieve a simulation function)

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

Wiener filter based on tracking a priori SNR usingDecision-Directed method, proposed by Scalart et al 96. In this method it is assumed that SNRpost=SNRprior +1. based on this the Wiener Filter can be adapted to a model like Ephraims model in which we have a gain function which is a function of a priori SNR and a priori SNR is being tracked using Decision Directed method.