delineator

说明：  MUSIC方法是Schmidt 在 1979 年首先提出的,并于1986 年重新发表。该方法和 Roy 于1986 年提出的 Esprit方法都是早期经典的超分辨率 DOA 估计方法 即超瑞利限的方法 ,他们同属特征结构的子空间方法。(MUSIC method is Schmidt first proposed in 1979, and re-released in 1986. The method and Roy in 1986, Esprit proposed methods are early classic super-resolution DOA estimation method that is super-Rayleigh limit of the method, they belong to the same characteristic structure of the subspace method.)

The overall objective for LTE is to provide an extremely high performance radio-access technology that offers full vehicular speed mobility and that can readily coexist with HSPA and earlier networks. OFDM/OFDMA technology is introduced for the LTE downlink, supporting very high data rates of up to 300Mbps while Single-Carrier FDMA (SC-FDMA) is used in the uplink with data rates of 80Mbps possible. Additionally, LTE supports operation both in paired and unpaired spectrum (FDD and TDD) using channel bandwidths of approximately 1.4MHz up to 20MHz. The frequency domain scheduling can be done in OFDMA. One of the main challenges in OFDMA is the high peak-to-average radio of the transmitted signal, which requires linearity in the transmitter. The linear amplifiers have low efficiency therefore, OFDMA is not an optimized solution for a mobile uplink where the

digital signal prosecing code

一本很好的线性控制系统分析的资料，讲述了线性控制系统的基本知识已经相应的matlab操作。(Linear control system analysis)

有限元求解结构固有频率和振型、显示（中心差分法，Newmark法）、隐式法、非线性法程序(middle difference/Newmark/nonlinear)

说明：  小波改进阈值去噪，并分析去噪后信号的信噪比和均方误差(Improving threshold denoising by wavelet transform and analyzing signal-to-noise ratio and mean square error of denoised signal)

说明：  基于模糊控制的蓄电池充放电控制，适合相关从业人员交流学习。(Based on the fuzzy control of battery charge and discharge control, it is suitable for the relevant practitioners to exchange learning.)

系统辨识与自适应控制程序 ，一个很小的.m文件(System identification and adaptive control procedure, a small. M file)

利用matlab计算模拟马鞍面的教程 清晰易懂~(Saddle computer simulation using matlab tutorial lucid ~)

Lung Cancer Detection and Classification Using ANN & Multinomial Bayesian Classifier