Interest in SDR, DSP, adaptive algorithms, and embedded systems

## Re: visual DSP++ generated .ldr file bootup issue

is this an eval kit? Try SPI PROM in the Project:Load:General settings:https://ez.analog.com/dsp/software-and-development...

## Re: Determine the original size of the FFT used in OFDM?

little bit of an odd question the modem design is normally predetermined, i.e. you know the transmitters IFFT size. You also haven't provided any information on...

## Re: OFDM Constellation.

Do you have any mix of bpsk and qpsk in the symbols? This could be caused by poor timingn synchronization. What is the input to the FFT of the training symbols? Also,...

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## OFDM symbol timing Schmidl & Cox

I'm implementing Schmidl and Cox in Matlab and attempting to recover the data being transmitted. However, I have a problem even with 0 carrier frequency offset,...

## Re: Lyons needs help with a "Frequency Estimation" paper.

Not really seeing it. The$$X_{K}(K) G(w,K)$$ summation would be a point by point multiply. Essentially as they are increasing N they are 'zooming'(but not really) into...

## Re: Lyons needs help with a "Frequency Estimation" paper.

Lol so this paper is just a very convoluted way of saying 'an N-point DFT much larger than the signal length, L, leads to better spectral resolution' ??Not very...

## Re: Lyons needs help with a "Frequency Estimation" paper.

How G(w,k) falls out of the substitution is still unclear to me. But G(w,k)'s function is basically to create a bandpass filter around a area of w in order to 'zoom'...

## Re: M-to-2 Polyphase Decimation Channelizer

I think you're filtering wrong initially ...see page 19 of this thesis paper advised by fred harris who has written a lot of papers on channelizers and see how i...

## Re: M-to-2 Polyphase Decimation Channelizer

here is an example of a 6-to-1 i implemented a while back where h1a is my FIR filter, and x is my input sequence. You're code was a little convoluted so i didnt...

## Re: Data prediction in small embedded systems

This depends on what you're trying to predict. What is your data? For example if its a linear regression its not very computationally expensive...But you should...

## Re: Interpolation and power

You will  need to scale your interpolation output by the interpolation factor...The gain is reduced by a factor of your interpolation

## Re: CIC Filter

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