documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
標簽： documentation mathematical for filtering
上傳時間： 2013-12-10
上傳用戶：zxc23456789
cordic methods describe essentially the same algorithm that with suitably chosen inputs can be used to calculate a whole range of scientific functions including sin, cos, tan, arctan, arcsin, arccos, sinh, cosh, tanh, arctanh, log, exp, square root and even multiply and divide. the method dates back to volder [1959], and due to its versatility and compactness, it made possible the microcoding of the hp35 pocket scientific calculator in 1972. here is some code to illustrate the techniques. ive split the methods into three parts linear, circular and hyperbolic. in the hp35 microcode these would be unified into one function (for space reasons). because the linear mode can perform multiply and divide, you only need add/subtract and shift to complete the implementation. you can select in the code whether to do the multiples and divides also by cordic means. other multiplies and divides are all powers of 2 (these dont count). to eliminate these too, would involve ieee hackery.
標簽： essentially algorithm describe suitably
上傳時間： 2017-03-02
上傳用戶：litianchu
這是一個Quartus的工程文件和verilog代碼，講如何把memory 變成vector
上傳時間： 2017-03-07
上傳用戶：趙云興
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.
標簽： mean-square multiuser receiver project
上傳時間： 2014-11-21
上傳用戶：ywqaxiwang
一個全排列算法的實現，利用了C++模板技術以及STL 中的 Vector
標簽： 算法
上傳時間： 2013-12-29
上傳用戶：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.
標簽： different computer acquired sampling
上傳時間： 2013-12-28
上傳用戶：來茴
SQL中的單記錄函數 1.ASCII 返回與指定的字符對應的十進制數 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 給出整數,返回對應的字符 SQL> select chr(54740) zhao,chr(65) chr65 from dual ZH C -- -
上傳時間： 2017-04-14
上傳用戶：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.
上傳時間： 2017-04-14
上傳用戶：稀世之寶039
統計模式識別工具箱（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
標簽： Statistical Recognition Pattern Toolbox
上傳時間： 2014-01-03
上傳用戶：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.
標簽： implementation instruction multiple purpose
上傳時間： 2017-04-18
上傳用戶：731140412
