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Sampling frequency doubles then quantization noise?
quantisation noise decrease and quantization density remain same.
What is logarithmic quantizer or quantization?
In logarithmic quantization, one does not quantize the incoming signal but log of it to maintain signal to noise ratio over dynamic range. Dr Inayatullah Khan
What is the quantization interval of a 10 bit converter covering the range from 5 to -5 volts?
No. of quantization levels = 2^10 = 1024Voltage range = 10VQuantization interval = 10/1024 = 9.77 mV / level.
Whose tag used in HTML for image display one by one after few seconds?
This cannot be accomplished with HTML. You may need to use JavaScript to accomplish this effect.
How do you insert logo image on signature from rediffmail?
You can download the image from rediff mail. Then can insert this image as image source.
What is quantization range?
Quantization range refers to the range of values that can be represented by a quantization process. In digital signal processing, quantization is the process of mapping input values to a discrete set of output values. The quantization range determines the precision and accuracy of the quantization process.
What are the goals of signal processing?
Signal processing's goals include many things, most importantly: sampling, quantization, noise reduction, image enhancement, image understanding, speech recognition, and video compression.
What is the difference between uniform quantization and non uniform quantization?
one syllable LOL
What is an ideal quantization error?
The ideal Quantization error is 2^N/Analog Voltage
What is the Different between sampling and quantization?
Sampling Discritizes in time Quantization discritizes in amplitude
What are the types of scalar quantization?
There are two types of quantization .They are, 1. Truncation. 2.Round off.
What is mid riser quantization?
Mid riser quantization is a type of quantization scheme used in analog-to-digital conversion where the input signal range is divided into equal intervals, with the quantization levels located at the midpoints of these intervals. This approach helps reduce quantization error by evenly distributing the error across the positive and negative parts of the signal range.
What is the relationship between quantisation noise and bandwidth in pcm systems?
Quantization noise is a model of quantization error introduced by quantization in the analog-to-digital conversion(ADC) in telecommunication systems and signal processing.
Advantages and disadvantages of histogram?
disadvantages of histogram compared to barchart
Sampling frequency doubles then quantization noise?
quantisation noise decrease and quantization density remain same.
What is an image map?
It involves making an image where each section of the image has a different(or no) effect when clicked/moused over.
What are advantages of vector quantization?
Vector quantization lowers the bit rate of the signal being quantized thus making it more bandwidth efficient than scalar quantization. But this however contributes to it's implementation complexity (computation and storage).
