IMPortant C FAQs to get some inside secrets
標簽： IMPortant secrets inside FAQs
上傳時間： 2017-06-10
上傳用戶：han_zh
proteus word file IMPortant example unbelieveble info.
標簽： unbelieveble IMPortant proteus example
上傳時間： 2017-06-13
上傳用戶：cc1915
proteus word file IMPortant example unbelieveble info. +2
標簽： unbelieveble IMPortant proteus example
上傳時間： 2014-01-18
上傳用戶：royzhangsz
control word file IMPortant example unbelieveble info.
標簽： unbelieveble IMPortant control example
上傳時間： 2017-06-13
上傳用戶：VRMMO
An IMPortant book that cover wavelet domain. It help a lot in understanding wavelets and their applications. Beside explanations of the transform and application of this, there are also presents the reasons why wavelets are better than Fourier transform.
標簽： understanding IMPortant wavelets wavelet
上傳時間： 2017-06-14
上傳用戶：lanhuaying
arm9 development is extremely IMPortant for arm9 development board.
標簽： development arm9 extremely IMPortant
上傳時間： 2013-12-26
上傳用戶：hj_18
After learning to work with images it is IMPortant to learn some of the accessory functions OpenCV has to offer. This tutorial will discuss a simple image correlation example
標簽： accessory functions IMPortant learning
上傳時間： 2013-12-19
上傳用戶：妄想演繹師
Parallel Processing, IMPortant document for learning about high-performance computing.
標簽： high-performance Processing IMPortant computing
上傳時間： 2013-12-23
上傳用戶：Altman
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.
標簽： communication IMPortant different channels
上傳時間： 2013-12-08
上傳用戶：litianchu
The Hilbert Transform is an IMPortant component in communication systems, e.g. for single sideband modulation/demodulation, amplitude and phase detection, etc. It can be formulated as filtering operation which makes it possible to approximate the Hilbert Transform with a digital filter. Due to the non-causal and infinite impulse response of that filter, it is not that easy to get a good approximation with low hardware resource usage. Therefore, different filters with different complexities have been implemented. The detailed discussion can be found in "Digital Hilbert Transformers or FPGA-based Phase-Locked Loops" (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4629940). The design is fully pipelined for maximum throughput.
標簽： e.g. communication Transform IMPortant
上傳時間： 2017-06-25
上傳用戶：gxf2016
