In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
标签： mean-square multiuser receiver project
上传时间： 2014-11-21
上传用户：ywqaxiwang
一个全排列算法的实现，利用了C++模板技术以及STL 中的 Vector
标签： 算法
上传时间： 2013-12-29
上传用户：gmh1314
In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different measurements. Image registration is the process of transforming the different sets of data into one coordinate system. To be precise it involves finding transformations that relate spatial information conveyed in one image to that in another or in physical space. Image registration is performed on a series of at least two images, where one of these images is the reference image to which all the others will be registered. The other images are referred to as target images.
标签： different computer acquired sampling
上传时间： 2013-12-28
上传用户：来茴
SQL中的单记录函数 1.ASCII 返回与指定的字符对应的十进制数 SQL> select ascii( A ) A,ascii( a ) a,ascii( 0 ) zero,ascii( ) space from dual A A ZERO SPACE --------- --------- --------- --------- 65 97 48 32 2.CHR 给出整数,返回对应的字符 SQL> select chr(54740) zhao,chr(65) chr65 from dual ZH C -- -
上传时间： 2017-04-14
上传用户：330402686
There are _NO_ standard sample rate for the samples used in modules. But most often the samples are done on the rate called C-3 (which is about 16574 Hz if you have a PAL machine). Sometimes drums are sampled at A-3 (around 28 kHz), and some sounds are at ~8 kHz or anything else to save space.
上传时间： 2017-04-14
上传用户：稀世之宝039
统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines
标签： Statistical Recognition Pattern Toolbox
上传时间： 2014-01-03
上传用户：璇珠官人
The purpose of this project is to explore the issues and implementation of a multiple instruction stream, single data stream processor. We are running two instruction streams on two CPUs which share an address space. The processors share a second level cache, and maintain coherence at the L1 cache with a write-invalidate policy. The L2 cache is two-way set associative, with a block size of 8 words, and a total capacity of 512 words.
标签： implementation instruction multiple purpose
上传时间： 2017-04-18
上传用户：731140412
(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).
上传时间： 2014-01-05
上传用户：caixiaoxu26
how to add arrays * Use of const (constant) values. * Creation of vectors. * Passing vectors as function arguments. * Reading from files of unknown size (monitoring istream status). * Repetitive structures (while and for loops). * The increment operators (++). * Selection structures (if-else statements). * Use of the .size, .empty, .begin, .insert, .erase, .resize, .clear and .swap vector class member functions.
标签： Creation constant Passing vectors
上传时间： 2017-04-25
上传用户：1079836864
Learn how to: * Tokenize a null-terminated string * Create a search and replace function for strings * Implement subtraction for string objects * Use the vector, deque, and list sequence containers * Use the container adaptors stack, queue, and priority_queue * Use the map, multimap, set, and multiset associative containers * Reverse, rotate, and shuffle a sequence * Create a function object * Use binders, negators, and iterator adapters * Read and write files * Use stream iterators to handle file I/O * Use exceptions to handle I/O errors * Create custom inserters and extractors * Format date, time, and numeric data * Use facets and the localization library * Overload the [ ], ( ), and -> operators * Create an explicit constructor * And much, much more
标签： null-terminated Tokenize Create string
上传时间： 2014-01-18
上传用户：yph853211
