SCFDE11_14

基于特征块匹配的快速稳像算法，方法用块匹配方法对图像进行匹配，并进行稳像(Feature-based block matching algorithm for fast stabilization, methods using block-matching method to match the image, and conduct stabilization)

guitar tunner... useful for generating varius tunes

说明：  MATLAB有限元分析与应用的源代码，非常实用！(MATLAB finite element analysis and application source code, very useful!)

计算啁啾，均匀，取样光栅透射谱。可以改变周期，占空比，长度等各种参数(Calculated chirp, evenly sampled grating transmission spectrum. Can change the various parameters of the period, duty cycle, length, etc.)

无线通信中MIMO信道容量OFDM信道防真，BPSK调制(MIMO wireless communication OFDM modulation channel capacity to prevent)

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization

得到不同频率、不同幅值的三角波及正弦波，并对他们进行时域分析。(Get a different frequency and different amplitude sine wave triangle spread, and their time-domain analysis.)

冒险咖啡屋秘密花园V35最终版源码 Visual Basica代码，要研究MXD的朋友可以下载看下(adventure coffee secret garden V35 final version of Visual Basica source code to study MXD friends can download facie)

去雾算法，包括了matlab代码，和几个可以使用的exe文件(Defogging algorithm)

说明：  通常，非线性整数规划是一个具有指数复杂度的NP问题，如果约束较为复杂，Matlab优化工具箱和一些优化软件比如lingo等，常常无法应用，即使能应用也不能给出一个较为令人满意的解。这时就需要针对问题设计专门的优化算法。下面举一个遗传算法应用于非线性整数规划的编程实例，供大家参考！(Generally, nonlinear integer programming is a NP problem with exponential complexity. If the constraints are more complex, MATLAB optimization toolbox and some optimization software such as lingo are often unable to be applied, even if they can be applied, they cannot give a satisfactory solution. At this time, we need to design a special optimization algorithm for the problem. Here is an example of genetic algorithm applied to nonlinear integer programming, for your reference!)