guihd

说明：  设{ ,k=0,1,2,…}为N（0，1）白序列， ， =0，1,2,…,1000 。求： ； (Let {k = 0,1,2, ...} white sequence of N (0,1) = 0,1,2, ..., 1000 Requirements: )

OFDM Signal generation and decoding using 16-QAM .64QAM as the modulation technique. This type of OFDM is particularly useful for WiMAX and other Wireless and Multimedia Standards. Just run the Model and with different SNRs in the AWGN Channel Block observe the performance of the OFDM. (OFDM Signal generation and decoding using 16-QAM .64 QAM as the modulation technique. This type of OFDM is particularly useful for WiMAX and other Wireless and Multimedia Standards. Just run the Model and with different SNRs in the AWGN Channel Block observe the performance of the OFDM.)

计算原图像在阈值为s时均值的matlab源代码 (Calculation of the original image when the threshold value s mean matlab source code)

MMC中IGBT损耗计算与结温模块（计算开关周期内的损耗，公式可以参考 电工技术学报 WXP先生 2018-12-14 的一篇文献），还有一对VT+VD的Foster。公式及其实现没有问题，仿真过程可能出现代数环，如果有自己的Foster或者Cauer最好。(power loss calculation&junction temperature detection of IGBT in MMC)

基于3G LTE上行链路准静态仿真系统的研究(3G LTE uplink based on the quasi-static simulation system)

说明：  C’est avec un grand plaisir que je remercie M Fran&ccedil ois Costa, M Jean Luc Schanen et M Faouzi Ben Ammar qui ont accepté de faire partie de mon jury de thèse. Des remerciements aussi chaleureux vont à mes collègues du CEGELY avec qui j’ai partagé ces années de travail, je pense à tout(e)s les doctorant(e)s ainsi qu’au personnel permanent (la liste est longue et je suis s&ucirc r qu’ils vont se reconna&icirc tre facilement). Je réserve la fin de mes remerciements à ma famille pour leur soutien quotidien.

fundamentals in physics, molecules and quantum physic s

关于ofdm_qpsk的一些使用小程序 其中包括关于单载波的一些信道干扰影响的比较等(ofdm-qpsk-mycreatechannel11)

When capturing an iris image under unconstrained conditions and without user cooperation, the image quality can be highly degraded by poor focus, off-angle view, motion blur, specular reflection (SR), and other artifacts. The noisy iris images increase the intra-individual variations, thus markedly degrading recognition accuracy. To overcome these problems, we propose a new iris recognition algorithm for noisy iris images.

this code for test fft method