Fast Fourier Transform power point The rectangular window introduces broadening of any frequency components [`smearing鈥? and sidelobesthat may overlap with other frequency components [`leakage鈥?. 鈥he effect improves as Nincreases 鈥owever, the rectangle window has poor properties and better choices of wncan lead to better spectral properties [less leakage, in particular] 鈥搃.e. instead of just truncating the summation, we can pre-multiply by a suitable window function wnthat has better frequency domain properties. 鈥ore on window design in the filter design section of the course
标签： rectangular introduces broadening Transform
上传时间： 2017-03-25
上传用户：change0329
Here are the functions for Hamming code 7.4 and Extended Hamming code 8.4 encoding and decoding. For 7.4 code, one error per 7-bit codeword can be corrected. For 8.4 code, one error per 8-bit codeword can be corrected and not less than 2 errors can be detected.
标签： Hamming code and functions
上传时间： 2014-01-05
上传用户：Amygdala
OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.
标签： OTSU segmentation Gray-level segmented
上传时间： 2017-04-24
上传用户：yuzsu
) Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree.
标签： code Compression huffman provide
上传时间： 2017-05-30
上传用户：yuchunhai1990
C in A Nutshell Learning a language--any language--involves a process wherein you learn to rely less and less on instruction and more increasingly on the aspects of the language you ve mastered. Whether you re learning French, Java, or C, at some point you ll set aside the tutorial and attempt to converse on your own. It s not necessary to know every subtle facet of French in order to speak it well, especially if there s a good dictionary available. Likewise, C programmers don t need to memorize every detail of C in order to write good programs. What they need instead is a reliable, comprehensive reference that they can keep nearby. C in a Nutshell is that reference.
标签： language Nutshell Learning involves
上传时间： 2013-12-25
上传用户：王者A
Abstract—In this paper, we propose transform-domain algorithms to effectively classify the characteristics of blocks and estimate the strength of the blocky effect. The transform-domain algorithms require much lower computational complexity and much less memory than the spatial ones. Along with the estimated blocky strength,
标签： transform-domain effectively algorithms Abstract
上传时间： 2017-06-16
上传用户：zukfu
In communication systems channel poses an important role. channels can convolve many different kind of distortions to our information. In perticular wireless channels multipath distortion is sevear. and more sevear is such distortion is random. To handle this, multipath affected channels require Equalizers at receaver end. such equalizer uses different learning Algorithms for identifying channels continuously. This project is VHDL implementation of LMS learning algorithm with pipelined architecture. so this implementation can work with higher data rates with less clock speed requirments and so with less power consumpiton It uses Fixed point arithmatic blocks for filtering so suitable for coustom asic.
标签： communication important different channels
上传时间： 2013-12-08
上传用户：litianchu
Getting to Know the FFT What is the FFT? FFT = Fast Fourier Transform. The FFT is a faster version of the Discrete Fourier Transform (DFT). The FFT utilizes some clever algorithms to do the same thing as the DTF, but in much less time.
上传时间： 2017-07-15
上传用户：com1com2
Sound Synthesis Methods. Typical features of abstract algorithms are the simplicity and ease of implementation. The sound is more or less artificial compared to more sophisticated methods.
标签： algorithms simplicity Synthesis features
上传时间： 2014-01-09
上传用户：问题问题
Introduction ? ? The ARM Cortex -A8 microprocessor is the first applications microprocessor in ARM!ˉs new Cortex family. With high performance and power efficiency, it targets a wide variety of mobile and consumer applications including mobile phones, set-top boxes, gaming consoles and automotive navigation/entertainment systems. The Cortex-A8 processor spans a range of performance points depending on the implementation, delivering over to 2000 Dhrystone MIPS (DMIPS) of performance for demanding consumer applications and consuming less than 300mW for low-power mobile devices. This translates into a large increase in processing capability while staying with the power levels of previous generations of mobile devices. Consumer applications will benefit from the reduced heat dissipation and resulting lower packaging and integration costs.
标签： microprocessor Introduction applications Cortex
上传时间： 2013-12-09
上传用户：xzt
