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18 Threads found on edaboard.com: Equalisation
what is low complexity equalisation in OFDM? tel me brief description about this.. -THANKS FOR D REPLY IN ADVANCE
I have to implement a Dispersive QAM MIMO System on matlab , but I really didn't find a solution , pleasee can you help me ???
From the spec, the heads outputs are 36 mV, so a pre-amp will be required. This is normally where equalisation is applied for audio recording. So an amplifier with a gain of X30 would be a good start. You must find out what for of equalisation you will have to deal with. This means on record, the higher frequencies are recorded at higher levels,
Coherent and noncoherent detection ◮ absolute modulation −→ channel equalisation, coherent detection ◮ differential modulation −→ noncoherent detection 2. Estimation principles ◮ least squares ◮ MMSE 3. Data estimation ϋ
can anyone please share a link to download this book for free Turbo Coding, Turbo equalisation and Space-Time Coding for Transmission over Fading Channels Turbo Coding, Turbo equalisation and Space-Time Coding Free Downloads
hi all, i'm dng my project on adaptive channel equalisation using Higher Order Neural network(HONN).i ve some doubts. i have taken x(n) as the original signal; and r(n) as the noise signal. r(n) is input to HONN. Output of HONN is y(n). Error signal is found out by e(n)=x(n)-y(n). Until e(n) reduces to a small
wt do u mean by adaptive channel equalisation
i would like to know the difference b/w contrast equalisation and stretching. Why is contrast equalisation said to be harsh?? I'm planning to improve the contrast of the image as the first step of my project so i would like to know which of these would be best.
Hi, I am trying to simulate LMS adaptive filtering in matlab but am having some problems forming the equalisation matrix which needs to be of dimension nTx by nRx (4x4 in this case) My error signal is a 4x1 matrix which is the result of x(:,i)- W' *y(:,i) where x(:,i) is a 4x1 matrix comprising 4 training symbols and y(:,i) is the received v
i havea running project on fingerprint recofnition using minutiae detetion where i have first used binarisatin,the equalisation and then orintation,now i want to add a code to find whether the image has a whorl ,right loop,or left loop,or tented arc plz give me code its urgent i have given my whole program.plz send me modified project plz send
i havea running project on fingerprint recofnition using minutiae detetion where i have first used binarisatin,the equalisation and then orintation,now i want to add a code to find whether the image has a whorl ,right loop,or left loop,or tented arc plz give me code its urgent i have given my whole program.plz send me modified project
Hi, I want to simulate MMSE channel equalisation algorithm for mimo-ofdm system(wimax 802.16e). I will appreciate if anybody can provide me a good doc. or matlab code for this algorithm. This is very crucial for me. thanks, Shameem
Because of past project work in both domains I understand that there are some shortcomings of OFDM as specified in standards but also interesting new solutions. CSS could be used as an modulation extension of OFDM. Or say it in other words; a chirp signal is a OFDM symbol. So you can preserve the equalisation efficiency and get some further improve
In general you could expect to work on a chip that takes in samples from an ADC on one end and hands out digital data in some format on the other side and vice versa. In between, you could have lots of DSP for synch, equalisation, filtering, FFT, cancellation.., plus some amount of digital circuits for ECC, framing, CRC.. -b
pre equalisation is done at the transmitter section and post equalisation is done at the receiver section.sombody is telling after demodulation before detection why it is like tjhat?
Read through Matlab Help on Image Processing toolbox section, you can understand better by practising it...can see the result of each process, such as histogram equalisation, filtering, edge detection, and so forth...
I need to know about LMS algorithm ( in the context of equalisers ) . How is Decision feedback used in equalizers ? How is adaptive equalisation done? How can we simulate/ implement such equalisers ? Any help would be appreciated?
How can I use MATLAB for do the DCT(sub-block 8x8) with the image (512x512)?