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fft length resolution
Mathematically (I underscore - mathematically, i.e. equal) FFT convolution is nothing more than the fast algorithm to do linear convolution. You don't need to worry about stationarity interval, while you're performing linear convolution.
If you process audio signal in...
Multiplying signal by 4, you also multiply noise by 4. So SNR remains the same (16 bits is equivalent to 96 dB). It means that you added two (so named) "noise bits". They are really consist quantization noise,but not harmonic distortion or something similar what you mentioned.
There is some...
There faster algorithm
h**p://www.fftw.org/newsplit.pdf
Steven G. Johnson and Matteo Frigo, "A modified split-radix FFT with fewer arithmetic operations", IEEE Trans. Signal Processing 55 (1), 111–119 (2007).
Re: Causality
When integrating right part
∫x(t)dt
variable t is disappeared. So you get only fixed number as a result.
Your question is incorrect.
Did you meaned y(t)∫x(s)ds ; Integration range: 0 to t ???
The this is causal system named integrator with reset function. Reset is...
You can search through google
book.google.com
There is several books with 70% open contents.
Unfortunately I have no other books. May be there is a way order itthrough the bookstore...
I sent you private message consisting my e-mail for further discussion
I can give you some hints, though I only intended to study it in my free time. Unfortunately last several monthes can not find free time at all :-(
There is severalbooks on super resolution
1. Super-Resolution Imaging : Subhasis Chaudhuri
2. Image Mosaicing and Super-Resolution : David...
Strange, for generating triangle you can use simple reccurence a=a+step
For which purpose U use CORDIC? It is originally developed for trigonometric functions.
But in your post there is no mention of sin, cos etc...
Please clarify your question
What type of DCT do you mean?
Anyway, If you have fast algorithm for one of type of DCT (or evem for FFT) you can transform it to your DCT type
Refer to (there are matlab codes for transformation between different DCT types and to FFT as well)
**broken link removed**
Input of adaptive filter - square wave
Desired signal - mix of square wave and sin (both with unknown phases)
Then
output of adaptive filter will be square signal with the phase equal to phase of square in the mix
error signal will be sin
Re: Z trnsform
Z transform allows to analyze and handle infinite discrete (in time domain) signals.
How to?
Lets do mathematical trick - multiply k-th sample on z^(-k), and sum them. We get polynomial. Infinite one in common case. Multiplication of two polynomials is convolution of their...
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